Session 3: Harvesting data from the web: APIs

A first API

Chronicling America is a joint project of the National Endowment for the Humanities and the Library of Congress .

Search for articles that mention “slavery”.

Look at the URL. What happens if you change the word slavery to abolition? What happens to the URL when you go to the second page? Can you get to page 251?

What if we append &format=json to the end of the search URL?

http://chroniclingamerica.loc.gov/search/pages/results/?andtext=slavery&format=json

requests is a useful and commonly used HTTP library for python. It is not a part of the default installation, but is included with Anaconda Python Distribution.

import requests

It would be possible to use the API URL and parameters directly in the requests command, but since the most likely scenario involves making repeating calls to requests as part of a loop – the search returned less than 1% of the results – I store the strings first.

base_url   = 'http://chroniclingamerica.loc.gov/search/pages/results/'
parameters = '?andtext=slavery&format=json'

requests.get() is used for both accessing websites and APIs. The command can be modified by several arguements, but at a minimum, it requires the URL.

r = requests.get(base_url + parameters)

r is a requests response object. Any JSON returned by the server are stored in .json().

search_json = r.json()

JSONs are dictionary like objects, in that they have keys (think variable names) and values. .keys() returns a list of the keys.

search_json.keys()

You can return the value of any key by putting the key name in brackets.

search_json['totalItems']
What else is in there? Where is the stuff we want?

As is often the case with results from an API, most of the keys and values are metadate about either the search or what is being returned. These are useful for knowing if the search is returning what you want, which is particularly important when you are making multiple calls to the API.

The data I’m intereted in is all in items.

type(search_json['items'])

len(search_json['items'])

items is a list with 20 items.

type(search_json['items'][3])

Each of the 20 items in the list is a dictionary.

first_item = search_json['items'][0]

first_item.keys()
What is the title of the first item?

While a standard CSV file has a header row that describes the contents of each column, a JSON file has keys identifying the values found in each case. Importantly, these keys need not be the same for each item. Additionally, values don’t have to be numbers of strings, but could be lists or dictionaries. For example, this JSON could have included a newspaper key that was a dictionary with all the metadata about the newspaper the article and issue was published, an article key that include the article specific information as another dictionary, and a text key whose value was a string with the article text.

As before, we can examine the contents of a particular item, such as the publication’s title.

first_item['ocr_eng']

print(first_item['ocr_eng'])

The easiest way to view or analyze this data is to convert it to a dataset-like structure. While Python does not have a builting in dataframe type, the popular pandas library does. By convention, it is imported as pd.

print(first_item['ocr_eng'][:200])

import pandas as pd

# Make sure all columns are displayed
pd.set_option("display.max_columns",101)

pandas is prety smart about importing different JSON-type objects and converting them to dataframes with its .DataFrame() function.

df = pd.DataFrame(search_json['items'])

df.head(6)

Note that I converted search_json['items'] to dataframe and not the entire JSON file. This is because I wanted each row to be an article.

pd.DataFrame(search_json)

If this dataframe contained all the items that you were looking for, it would be easy to save this to a csv file for storage and later analysis.

df.to_csv('lynching_articles.csv')

df.to_csv('lynching_articles.csv', encoding='utf8')

!head lynching_articles.csv

Your turn

Conduct your own search of the API. Store the results in a csv file. </div> {:.input_area} ```python r = requests.get('https://exchangeratesapi.io/api/latest?base=EUR') ``` {:.input_area} ```python pd.DataFrame(r.json()) ```

Your turn

What is the current exchange rate using the Norwegian krone as the base rate?</code> Save the results in a new csv file. </div> This is only a small subset of the articles on lynching that are available, however. The API returns results in batches of 20 and this is only the first page of results. As is often the case, I'll need to make multiple calls to the API to retrieve all the data of interest. The easiest way to do that is to define a small function for getting the article information and put that in a loop. While it isn't a requirement that you create a function for making the API call, it will make your code easier to read and debug. Looking at the API guidelines, there is an additional paramater `page` that tells the API which subset of results we want. This name varies by API but their is usually some mechanism for retrieiving results beyond the initial JSON. Before creating the loop and making multiple calls to the API, I want to make sure that the API is working the way I think it is.

Look at the API guidelines. How can we get the third page?
[Guidelines](https://chroniclingamerica.loc.gov/about/api/) {:.input_area} ```python base_url = 'http://chroniclingamerica.loc.gov/search/pages/results/' parameters = '?andtext=slavery&format=json&page=3' r = requests.get(base_url + parameters) results = r.json() print results['startIndex'] print results['endIndex'] ``` A call to random selected page 3 returns results 41 through 60, which is what I expected since each page has 20 items. The parameters are getting pretty ugly, so fortunately `requests` accepts a dictionary where the keys are the parameter names as defined by the API and the values are the search paramaters you are looking for. So the same request can be rewritten: {:.input_area} ```python base_url = 'http://chroniclingamerica.loc.gov/search/pages/results/' parameters = {'andtext': 'lynching', 'page' : 3, 'format' : 'json'} r = requests.get(base_url, params=parameters) results = r.json() results['startIndex'], results['endIndex'] ``` This can be rewritten as function: {:.input_area} ```python def get_articles(): ''' Make calls to the Chronicling America API. ''' base_url = 'http://chroniclingamerica.loc.gov/search/pages/results/' parameters = {'andtext': 'lynching', 'page': 3, 'format': 'json'} r = requests.get(base_url, params=parameters) results = r.json() return results ``` {:.input_area} ```python results = get_articles() results['startIndex'], results['endIndex'] ``` The advantage of writing a function, however, would be that you can pass along your own parameters, such as the search term and page number, which would make this much more useful. {:.input_area} ```python def get_articles(search_term, page_number): ''' Make calls to the Chronicling America API. ''' base_url = 'http://chroniclingamerica.loc.gov/search/pages/results/' parameters = {'andtext': search_term, 'page' : page_number, 'format' : 'json'} r = requests.get(base_url, params = parameters) results = r.json() return results ``` {:.input_area} ```python results = get_articles('lynching', 3) results['startIndex'], results['endIndex'] ``` {:.input_area} ```python results = get_articles('cows', 45) results['startIndex'], results['endIndex'] ``` {:.input_area} ```python pd.DataFrame(results['items']) ```

Your turn

This url

https://itunes.apple.com/search?term=beyonce&entity=song

will return 50 songs in the iTunes store by Beyoncé.

Write a function that will return the results of a call for any artists into a dataframe. Hint: inspect the contents of the resulting JSON to make sure you are getting what you want.

Bonus challenge: Open up a new notebook. Se the first cell type to "Markdown" and write a brief introduction about your function. But your code in subsequent cells! Don't forget your import statements! </div> [API Manual](https://affiliate.itunes.apple.com/resources/documentation/itunes-store-web-service-search-api/) Back to Chronicling America. Now, the first 60 results could downloaded in a just a few lines: {:.input_area} ```python for page_number in [1, 2, 3]: print(page_number) ``` {:.input_area} ```python for page_number in range(1, 4): print(page_number) ``` {:.input_area} ```python for page_number in range(1,4): results = get_articles('lynching', page_number) results['startIndex'], results['endIndex'] ``` Everything appears to be working, but unfortunately I only have the last page of results still. Each call to the API was redefining `results` variable. In this case, I set up an empty dataframe to store the results and will append the items from each page of results. {:.input_area} ```python dfs = [] # empty list to store dataframes for page_number in range(1,4): results = get_articles('lynching', page_number) new_df = pd.DataFrame(results['items']) dfs.append(new_df) df = pd.concat(dfs, ignore_index = True) df.info() ``` For a large download, you would still want to tweak this a bit by pausing between each API call and making it robust to internet or API errors, but this is a solid framework for collecting data from an API. {:.input_area} ```python from time import sleep ``` {:.input_area} ```python dfs = [] # empty list to store dataframes for page_number in range(1,4): results = get_articles('lynching', page_number) new_df = pd.DataFrame(results['items']) dfs.append(new_df) sleep(1) print('Getting page: ' + str(page_number)) df = pd.concat(dfs, ignore_index = True) df.info() ```

Your turn

Can you modify your iTunes search to get more results? </div> [API Manual](https://affiliate.itunes.apple.com/resources/documentation/itunes-store-web-service-search-api/) ### How about Twitter? {:.input_area} ```python import pandas as pd ``` {:.input_area} ```python from twython import Twython ``` Sign up as a developer {:.input_area} ```python APP_KEY = 'J8TGgv1SlKgAtqvxGZzc9XiNx' APP_SECRET = '8bEieGM73FLqbnWu6WcTR3vM6ICfEBEmQ8lXgqojw5IL1uzQ0Z' OAUTH_TOKEN = '594565064-erQRFPOFk520ePJjR86b9H2PTPxAF9i1d3A7pzjp' OAUTH_TOKEN_SECRET = 'qGwK0Jz7f0YyYlQIoLSJ8FJCIX3ydFQBo0yJOePsaWXL9' ``` Store your credentials {:.input_area} ```python twitter = Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) ``` Start your searches! {:.input_area} ```python user_timeline = twitter.get_user_timeline(screen_name='oprah') ``` {:.input_area} ```python pd.DataFrame(user_timeline) ```

contributors coordinates created_at entities favorite_count favorited geo id id_str in_reply_to_screen_name ... is_quote_status lang place possibly_sensitive retweet_count retweeted source text truncated user
0 None None Sat Dec 08 16:00:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 8860 False None 1071434225944068104 1071434225944068104 None ... False en None False 1200 False <a href="https://studio.twitter.com" rel="nofo... Every father has a dream for their family and ... True {'id': 19397785, 'id_str': '19397785', 'name':...
1 None None Fri Dec 07 16:00:10 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 3549 False None 1071071878901456896 1071071878901456896 None ... False en None False 566 False <a href="https://studio.twitter.com" rel="nofo... .@ItsGabrielleU and @DwyaneWade dispel many my... True {'id': 19397785, 'id_str': '19397785', 'name':...
2 None None Tue Dec 04 23:34:30 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 2714 False None 1070099055382908928 1070099055382908928 None ... False en None False 375 False <a href="https://studio.twitter.com" rel="nofo... Why wait until after the holidays to get healt... True {'id': 19397785, 'id_str': '19397785', 'name':...
3 None None Tue Dec 04 18:51:13 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 10935 False None 1070027764072296448 1070027764072296448 None ... False en None False 3175 False <a href="http://twitter.com/download/iphone" r... This story struck my heart. I’ve done this a 1... True {'id': 19397785, 'id_str': '19397785', 'name':...
4 None None Wed Nov 21 21:00:01 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 3928 False None 1065349132452122624 1065349132452122624 None ... False en None False 551 False <a href="https://studio.twitter.com" rel="nofo... Roll call! Greenleafers…this is the EXPLOSIVE ... True {'id': 19397785, 'id_str': '19397785', 'name':...
5 None None Tue Nov 20 22:12:30 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 11077 False None 1065004989372743680 1065004989372743680 None ... False en None False 1159 False <a href="http://twitter.com" rel="nofollow">Tw... Look who I got to meet! Little Kaavia James, t... True {'id': 19397785, 'id_str': '19397785', 'name':...
6 None None Mon Nov 19 21:00:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 5827 False None 1064624353227169792 1064624353227169792 None ... False en None False 1035 False <a href="https://studio.twitter.com" rel="nofo... Did you know that 1 in 8 Americans struggles w... True {'id': 19397785, 'id_str': '19397785', 'name':...
7 None None Sat Nov 17 17:00:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 18033 False None 1063839179958878210 1063839179958878210 None ... False en None False 2518 False <a href="https://studio.twitter.com" rel="nofo... Seeing all your comments on social &amp; feeli... True {'id': 19397785, 'id_str': '19397785', 'name':...
8 None None Thu Nov 15 18:03:56 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 28843 False None 1063130492969480192 1063130492969480192 None ... False en None False 5982 False <a href="https://studio.twitter.com" rel="nofo... Michelle, I never thought of it that way befor... True {'id': 19397785, 'id_str': '19397785', 'name':...
9 None None Thu Nov 15 03:16:43 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 34 False None 1062907220382375936 1062907220382375936 Deborahjoywina1 ... False en None NaN 6 False <a href="http://twitter.com/download/iphone" r... @Deborahjoywina1 @DeborahJWinans @MerleDandrid... True {'id': 19397785, 'id_str': '19397785', 'name':...
10 None None Thu Nov 15 03:13:50 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 23 False None 1062906494621007872 1062906494621007872 3LWTV ... False en None NaN 9 False <a href="http://twitter.com/download/iphone" r... @3LWTV @OWNTV @MsLynnWhitfield @MerleDandridge... True {'id': 19397785, 'id_str': '19397785', 'name':...
11 None None Wed Nov 14 00:32:29 +0000 2018 {'hashtags': [{'text': 'IAmBecoming', 'indices... 40397 False None 1062503501518028800 1062503501518028800 None ... False en None NaN 2998 False <a href="http://twitter.com/download/iphone" r... Hey Chicago! I'm sitting down with @MichelleOb... True {'id': 19397785, 'id_str': '19397785', 'name':...
12 None None Mon Nov 12 14:11:26 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 20997 False None 1061984820404711427 1061984820404711427 None ... False en None False 3535 False <a href="https://studio.twitter.com" rel="nofo... From the very first pages of “Becoming” I knew... True {'id': 19397785, 'id_str': '19397785', 'name':...
13 None None Thu Nov 08 03:25:12 +0000 2018 {'hashtags': [{'text': 'GreenLeaf', 'indices':... 22 False None 1060372639477198848 1060372639477198848 benita_janea ... False en None NaN 5 False <a href="http://twitter.com/download/iphone" r... @benita_janea 😂😂😂 course you knew! smart woman... False {'id': 19397785, 'id_str': '19397785', 'name':...
14 None None Thu Nov 08 03:14:34 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 150 False None 1060369963343474688 1060369963343474688 ImKeithDavid ... False en None NaN 26 False <a href="http://twitter.com/download/iphone" r... @ImKeithDavid @MsLynnWhitfield @GreenleafOWN Y... True {'id': 19397785, 'id_str': '19397785', 'name':...
15 None None Wed Nov 07 14:19:21 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 5927 False None 1060174872372887557 1060174872372887557 None ... False en None False 667 False <a href="https://studio.twitter.com" rel="nofo... Can you believe it? Halloween is behind us. El... True {'id': 19397785, 'id_str': '19397785', 'name':...
16 None None Tue Nov 06 15:05:20 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... 84101 False None 1059824056659132416 1059824056659132416 None ... False en None NaN 10268 False <a href="http://twitter.com/download/iphone" r... I woke up feeling compelled to pray for our co... True {'id': 19397785, 'id_str': '19397785', 'name':...
17 None None Sun Nov 04 03:46:47 +0000 2018 {'hashtags': [{'text': 'READYTOLOVE', 'indices... 29 False None 1058928517109374976 1058928517109374976 msbasketball1 ... False en None NaN 8 False <a href="http://twitter.com/download/iphone" r... @msbasketball1 And you are super fun and super... False {'id': 19397785, 'id_str': '19397785', 'name':...
18 None None Sun Nov 04 02:43:26 +0000 2018 {'hashtags': [{'text': 'readytolove', 'indices... 13 False None 1058912577978159106 1058912577978159106 priM0E ... False en None NaN 1 False <a href="http://twitter.com/download/iphone" r... @priM0E What would you suggest? I’m Open! #re... False {'id': 19397785, 'id_str': '19397785', 'name':...
19 None None Sun Nov 04 02:03:24 +0000 2018 {'hashtags': [{'text': 'ChadlovesMichelle', 'i... 10 False None 1058902502215639040 1058902502215639040 cherrilizabiff ... False en None NaN 2 False <a href="http://twitter.com/download/iphone" r... @cherrilizabiff @RealMichelleW @PastorCJ I fee... False {'id': 19397785, 'id_str': '19397785', 'name':...

20 rows × 24 columns

Your turn

Find the tweets from someone else. If you add , count = 200 after the username, you can get up to 200 tweets. Do it! </div> {:.input_area} ```python python_tweets = twitter.search(q='ipynb', count=200) ``` {:.input_area} ```python pd.DataFrame(python_tweets['statuses']) ```

contributors coordinates created_at entities extended_entities favorite_count favorited geo id id_str ... quoted_status quoted_status_id quoted_status_id_str retweet_count retweeted retweeted_status source text truncated user
0 None None Wed Dec 12 11:53:57 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072821855306825728 1072821855306825728 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com/download/android" ... RT @poliastro_py: What's the orbital future of... False {'id': 369558203, 'id_str': '369558203', 'name...
1 None None Wed Dec 12 11:23:17 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072814138756354050 1072814138756354050 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... stil transferi ile alakalı bir başka güzel dem... False {'id': 68239920, 'id_str': '68239920', 'name':...
2 None None Wed Dec 12 11:14:33 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072811943663153154 1072811943663153154 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 1083927277, 'id_str': '1083927277', 'na...
3 None None Wed Dec 12 11:03:29 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072809155159883776 1072809155159883776 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 636890886, 'id_str': '636890886', 'name...
4 None None Wed Dec 12 10:51:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072609199291547648, 'id_str... 0 False None 1072806089765216257 1072806089765216257 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 21:49:07 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps:... False {'id': 2370471067, 'id_str': '2370471067', 'na...
5 None None Wed Dec 12 10:39:30 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072803120068128770 1072803120068128770 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Hint of the day\nProbability Density Functions... True {'id': 126638564, 'id_str': '126638564', 'name...
6 None None Wed Dec 12 10:36:36 +0000 2018 {'hashtags': [{'text': 'bpstudy', 'indices': [... NaN 0 False None 1072802391966154752 1072802391966154752 ... NaN NaN NaN 1 False {'created_at': 'Wed Dec 12 10:36:08 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @mamono_jingu: https://t.co/fp8rtGXOie #bps... False {'id': 14946295, 'id_str': '14946295', 'name':...
7 None None Wed Dec 12 10:36:08 +0000 2018 {'hashtags': [{'text': 'bpstudy', 'indices': [... NaN 1 False None 1072802274823495682 1072802274823495682 ... NaN NaN NaN 1 False NaN <a href="http://twitter.com" rel="nofollow">Tw... https://t.co/fp8rtGXOie #bpstudy googleコラボラトリー... False {'id': 623559636, 'id_str': '623559636', 'name...
8 None None Wed Dec 12 10:29:02 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072800488461090816 1072800488461090816 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 611662254, 'id_str': '611662254', 'name...
9 None None Wed Dec 12 10:22:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 4 False None 1072798736676470784 1072798736676470784 ... NaN NaN NaN 4 False NaN <a href="https://about.twitter.com/products/tw... What's the orbital future of MarCO-A &amp; B? ... True {'id': 989455044650119168, 'id_str': '98945504...
10 None None Wed Dec 12 09:32:08 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072786166569689089 1072786166569689089 ... NaN NaN NaN 1 False {'created_at': 'Wed Dec 12 00:29:01 +0000 2018... <a href="http://twitter.com/download/android" ... RT @realpython: Unicorn! · GitHub https://t.co... False {'id': 24900939, 'id_str': '24900939', 'name':...
11 None None Wed Dec 12 06:48:33 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072745000226631680 1072745000226631680 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... yeah, I can tell that MHRD is really practical... False {'id': 5283722, 'id_str': '5283722', 'name': '...
12 None None Wed Dec 12 05:44:59 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072729004203855873 1072729004203855873 ... NaN NaN NaN 7 False {'created_at': 'Tue Dec 11 18:25:14 +0000 2018... <a href="http://twitter.com/download/android" ... RT @jeremyphoward: @honnibal I absolutely do. ... False {'id': 417985944, 'id_str': '417985944', 'name...
13 None None Wed Dec 12 05:38:22 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072609199291547648, 'id_str... 0 False None 1072727339279106048 1072727339279106048 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 21:49:07 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps:... False {'id': 892732157294030848, 'id_str': '89273215...
14 None None Wed Dec 12 04:56:31 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072716808749105152 1072716808749105152 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 02:34:35 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @bhutanisanyam1: A demo of checkpointing yo... False {'id': 2918040270, 'id_str': '2918040270', 'na...
15 None None Wed Dec 12 04:26:12 +0000 2018 {'hashtags': [{'text': 'python', 'indices': [1... {'media': [{'id': 1071426422747598848, 'id_str... 0 False None 1072709175669547009 1072709175669547009 ... NaN NaN NaN 41 False {'created_at': 'Sat Dec 08 15:29:35 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @algoritmic: A Jupyter notebook on how to p... False {'id': 321699282, 'id_str': '321699282', 'name...
16 None None Wed Dec 12 04:18:43 +0000 2018 {'hashtags': [{'text': 'orgmode', 'indices': [... NaN 0 False None 1072707292917772288 1072707292917772288 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 22:47:29 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @johnkitchin: Need a new way to make a slid... False {'id': 2953663351, 'id_str': '2953663351', 'na...
17 None None Wed Dec 12 04:13:55 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072609199291547648, 'id_str... 0 False None 1072706085339811840 1072706085339811840 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 21:49:07 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps:... False {'id': 941535479312158720, 'id_str': '94153547...
18 None None Wed Dec 12 02:57:59 +0000 2018 {'hashtags': [{'text': 'orgmode', 'indices': [... NaN 0 False None 1072686977554669570 1072686977554669570 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 22:47:29 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @johnkitchin: Need a new way to make a slid... False {'id': 5294462, 'id_str': '5294462', 'name': '...
19 None None Wed Dec 12 02:55:55 +0000 2018 {'hashtags': [{'text': 'orgmode', 'indices': [... NaN 0 False None 1072686455519010816 1072686455519010816 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 22:47:29 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @johnkitchin: Need a new way to make a slid... False {'id': 417131533, 'id_str': '417131533', 'name...
20 None None Wed Dec 12 02:51:21 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072685308930490369 1072685308930490369 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 02:34:35 +0000 2018... <a href="http://twitter.com/download/android" ... RT @bhutanisanyam1: A demo of checkpointing yo... False {'id': 782469380667944960, 'id_str': '78246938...
21 None None Wed Dec 12 02:39:35 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072682345537421312 1072682345537421312 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com/download/iphone" r... @hardmaru check out my notebook for Deep Pensi... True {'id': 2725381, 'id_str': '2725381', 'name': '...
22 None None Wed Dec 12 02:34:35 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 13 False None 1072681087367827456 1072681087367827456 ... NaN NaN NaN 4 False NaN <a href="http://twitter.com" rel="nofollow">Tw... A demo of checkpointing your models to Google ... False {'id': 784597005825871876, 'id_str': '78459700...
23 None None Wed Dec 12 01:08:06 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072659323472482305 1072659323472482305 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... @realpython Link: https://t.co/7kPtBJ1S1j False {'id': 587744668, 'id_str': '587744668', 'name...
24 None None Wed Dec 12 01:07:55 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072659278744485888 1072659278744485888 ... NaN NaN NaN 7 False {'created_at': 'Tue Dec 11 18:25:14 +0000 2018... <a href="http://twitter.com/download/android" ... RT @jeremyphoward: @honnibal I absolutely do. ... False {'id': 911059352, 'id_str': '911059352', 'name...
25 None None Wed Dec 12 00:29:01 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 4 False None 1072649488043524097 1072649488043524097 ... NaN NaN NaN 1 False NaN <a href="https://recurpost.com" rel="nofollow"... Unicorn! · GitHub https://t.co/uErXjAbpov Mult... False {'id': 745911914, 'id_str': '745911914', 'name...
26 None None Tue Dec 11 23:29:48 +0000 2018 {'hashtags': [{'text': 'orgmode', 'indices': [... NaN 0 False None 1072634585257775106 1072634585257775106 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 22:47:29 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @johnkitchin: Need a new way to make a slid... False {'id': 65857278, 'id_str': '65857278', 'name':...
27 None None Tue Dec 11 23:23:57 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072633112398585857 1072633112398585857 ... NaN 1.072575e+18 1072574516931497986 3 False {'created_at': 'Tue Dec 11 22:42:36 +0000 2018... <a href="http://twitter.com/download/android" ... RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sar... False {'id': 3299730071, 'id_str': '3299730071', 'na...
28 None None Tue Dec 11 23:23:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072632896480075778 1072632896480075778 ... NaN 1.072575e+18 1072574516931497986 3 False {'created_at': 'Tue Dec 11 22:42:36 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sar... False {'id': 3698212043, 'id_str': '3698212043', 'na...
29 None None Tue Dec 11 23:12:51 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072630322045566976 1072630322045566976 ... NaN NaN NaN 7 False {'created_at': 'Tue Dec 11 18:25:14 +0000 2018... <a href="http://twitter.com/download/android" ... RT @jeremyphoward: @honnibal I absolutely do. ... False {'id': 27330241, 'id_str': '27330241', 'name':...
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
70 None None Tue Dec 11 00:14:38 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 7 False None 1072283480522919937 1072283480522919937 ... NaN NaN NaN 2 False NaN <a href="http://twitter.com/download/android" ... Just found Google colab via @cwcyau cc @rmcolq... True {'id': 2191109263, 'id_str': '2191109263', 'na...
71 None None Mon Dec 10 23:50:01 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072277287104434179 1072277287104434179 ... NaN NaN NaN 4 False {'created_at': 'Mon Dec 10 23:29:38 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかな... False {'id': 25090605, 'id_str': '25090605', 'name':...
72 None None Mon Dec 10 23:29:38 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 12 False None 1072272157802094592 1072272157802094592 ... NaN NaN NaN 4 False NaN <a href="http://twitter.com" rel="nofollow">Tw... もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.c... False {'id': 4167551, 'id_str': '4167551', 'name': '...
73 None None Mon Dec 10 22:51:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072262431915851776 1072262431915851776 ... NaN NaN NaN 5 False {'created_at': 'Mon Dec 10 21:22:16 +0000 2018... <a href="http://twitter.com/download/android" ... RT @fmasanori: Análise de Dados sobre AIDS, fe... False {'id': 1093788270, 'id_str': '1093788270', 'na...
74 None None Mon Dec 10 22:47:48 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072261626747731968 1072261626747731968 ... NaN NaN NaN 13 False {'created_at': 'Wed Dec 05 13:39:11 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @ikkoham: 量子Advent Calendarの記事書いた。\nQiskitの... False {'id': 320951147, 'id_str': '320951147', 'name...
75 None None Mon Dec 10 22:38:14 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072259222543446016 1072259222543446016 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... @seanmylaw I see why this can be misleading, b... True {'id': 865622395, 'id_str': '865622395', 'name...
76 None None Mon Dec 10 22:36:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072258732048990208, 'id_str... 0 False None 1072258735475777542 1072258735475777542 ... NaN NaN NaN 0 False NaN <a href="https://collabmarket.org/" rel="nofol... Riesgo Sistemico fecha 2018-12-10\n https://t.... False {'id': 721868325576404992, 'id_str': '72186832...
77 None None Mon Dec 10 22:25:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072255909504532481 1072255909504532481 ... NaN NaN NaN 3 False {'created_at': 'Mon Dec 10 01:16:39 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @LivingHistUON: It’s not easy to get nice, ... False {'id': 350683618, 'id_str': '350683618', 'name...
78 None None Mon Dec 10 22:24:30 +0000 2018 {'hashtags': [{'text': 'fitting', 'indices': [... NaN 1 False None 1072255766176911360 1072255766176911360 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com/download/android" ... Highlight of the day: generic function #fittin... False {'id': 944291984675614721, 'id_str': '94429198...
79 None None Mon Dec 10 21:57:39 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072249007085367296 1072249007085367296 ... NaN NaN NaN 5 False {'created_at': 'Mon Dec 10 21:22:16 +0000 2018... <a href="http://twitter.com/download/android" ... RT @fmasanori: Análise de Dados sobre AIDS, fe... False {'id': 459268029, 'id_str': '459268029', 'name...
80 None None Mon Dec 10 21:55:04 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072248356859273217 1072248356859273217 ... NaN 1.071697e+18 1071696984942219264 3 False {'created_at': 'Mon Dec 10 07:16:41 +0000 2018... <a href="http://twitter.com/download/android" ... RT @betatim: If you'd like to try the nbtutor ... False {'id': 2174482088, 'id_str': '2174482088', 'na...
81 None None Mon Dec 10 21:42:11 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072245115555594252 1072245115555594252 ... NaN 1.071697e+18 1071696984942219264 3 False {'created_at': 'Mon Dec 10 07:16:41 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @betatim: If you'd like to try the nbtutor ... False {'id': 933014576647548928, 'id_str': '93301457...
82 None None Mon Dec 10 21:26:58 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 8 False None 1072241286390956033 1072241286390956033 ... NaN NaN NaN 1 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Outro interessante: Análise de Óbitos Fetais e... False {'id': 14502701, 'id_str': '14502701', 'name':...
83 None None Mon Dec 10 21:22:16 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 29 False None 1072240104943558656 1072240104943558656 ... NaN NaN NaN 5 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Análise de Dados sobre AIDS, feito por um alun... False {'id': 14502701, 'id_str': '14502701', 'name':...
84 None None Mon Dec 10 21:20:07 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072239563001729024 1072239563001729024 ... NaN NaN NaN 0 False NaN <a href="http://xa.bi/tek_news" rel="nofollow"... HNews: Movie genre prediction with the Object2... False {'id': 63468443, 'id_str': '63468443', 'name':...
85 None None Mon Dec 10 21:12:06 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 2 False None 1072237546007027712 1072237546007027712 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... 少々前に話題になったZITが現時点で付与されている特許の要約からのトピック分析もざっくり行っ... False {'id': 314634742, 'id_str': '314634742', 'name...
86 None None Mon Dec 10 20:44:03 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072230485789630464, 'id_str... 1 False None 1072230487450517504 1072230487450517504 ... NaN NaN NaN 0 False NaN <a href="https://dlvrit.com/" rel="nofollow">d... Movie genre prediction with the Object2Vec alg... False {'id': 900033256011255808, 'id_str': '90003325...
87 None None Mon Dec 10 19:02:12 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072204854804795392 1072204854804795392 ... NaN NaN NaN 0 False NaN <a href="https://ifttt.com" rel="nofollow">IFT... Movie genre prediction with the Object2Vec alg... False {'id': 220472453, 'id_str': '220472453', 'name...
88 None None Mon Dec 10 18:59:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072204125415325696 1072204125415325696 ... NaN NaN NaN 0 False NaN <a href="https://ifttt.com" rel="nofollow">IFT... 🛒🦍@amazon: "Amazon Object2Vec: Document Classi... True {'id': 4874962780, 'id_str': '4874962780', 'na...
89 None None Mon Dec 10 18:58:56 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072204030246576128 1072204030246576128 ... NaN NaN NaN 0 False NaN <a href="http://github.com/d4nt/HNTweets" rel=... Movie genre prediction with the Object2Vec alg... False {'id': 116276133, 'id_str': '116276133', 'name...
90 None None Mon Dec 10 18:58:13 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072203853314056193 1072203853314056193 ... NaN NaN NaN 0 False NaN <a href="http://taragana.com" rel="nofollow">P... Amazon Object2Vec: Document Classification wit... False {'id': 6987882, 'id_str': '6987882', 'name': '...
91 None None Mon Dec 10 18:57:43 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072203724347637760 1072203724347637760 ... NaN NaN NaN 0 False NaN <a href="https://ifttt.com" rel="nofollow">IFT... Movie genre prediction with the Object2Vec alg... False {'id': 15042473, 'id_str': '15042473', 'name':...
92 None None Mon Dec 10 18:57:31 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072203675328700417 1072203675328700417 ... NaN NaN NaN 0 False NaN <a href="https://ifttt.com" rel="nofollow">IFT... Movie genre prediction with the Object2Vec alg... False {'id': 3065181529, 'id_str': '3065181529', 'na...
93 None None Mon Dec 10 18:55:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072203060229824513, 'id_str... 0 False None 1072203061915873280 1072203061915873280 ... NaN NaN NaN 0 False NaN <a href="https://dlvrit.com/" rel="nofollow">d... Amazon Object2Vec: Document Classification wit... False {'id': 1029603103123759105, 'id_str': '1029603...
94 None None Mon Dec 10 18:49:48 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072201734456524810 1072201734456524810 ... NaN NaN NaN 0 False NaN <a href="http://hnfp.c17r.com" rel="nofollow">... Amazon Object2Vec: Document Classification wit... False {'id': 4617024083, 'id_str': '4617024083', 'na...
95 None None Mon Dec 10 17:58:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 2 False None 1072188772605927424 1072188772605927424 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Playing with Binder &amp; ipywidgets… TIL a 30... False {'id': 112876914, 'id_str': '112876914', 'name...
96 None None Mon Dec 10 17:12:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072177122121277440 1072177122121277440 ... NaN NaN NaN 5 False {'created_at': 'Fri Dec 07 16:12:12 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @alexandernitz: With all the recent gravita... False {'id': 310155354, 'id_str': '310155354', 'name...
97 None None Mon Dec 10 16:51:16 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072171905338220544 1072171905338220544 ... NaN NaN NaN 157 False {'created_at': 'Mon Nov 26 09:55:04 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @iamtrask: What if your email server kept y... False {'id': 929066238319394824, 'id_str': '92906623...
98 None None Mon Dec 10 16:32:27 +0000 2018 {'hashtags': [{'text': 'TensorFlow', 'indices'... NaN 0 False None 1072167169419608065 1072167169419608065 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Btw, I've added an example how to setup Tensor... True {'id': 66489856, 'id_str': '66489856', 'name':...
99 None None Mon Dec 10 16:25:01 +0000 2018 {'hashtags': [{'text': 'python', 'indices': [1... {'media': [{'id': 1071426422747598848, 'id_str... 0 False None 1072165296352432128 1072165296352432128 ... NaN NaN NaN 41 False {'created_at': 'Sat Dec 08 15:29:35 +0000 2018... <a href="https://buffer.com" rel="nofollow">Bu... RT @algoritmic: A Jupyter notebook on how to p... False {'id': 957799350163333122, 'id_str': '95779935...

100 rows × 30 columns

{:.input_area} ```python python_tweets ``` {:.input_area} ```python python_tweets['search_metadata'] ``` {:.input_area} ```python python_tweets.keys() ``` {:.input_area} ```python pd.DataFrame(python_tweets['statuses']) ``` {:.input_area} ```python python_tweets = twitter.search(q = 'ipynb', count = 200, maxid = 1023186440514142207) ``` {:.input_area} ```python pd.DataFrame(python_tweets['statuses']) ```
contributors coordinates created_at entities extended_entities favorite_count favorited geo id id_str ... quoted_status quoted_status_id quoted_status_id_str retweet_count retweeted retweeted_status source text truncated user
0 None None Wed Dec 12 11:53:57 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072821855306825728 1072821855306825728 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com/download/android" ... RT @poliastro_py: What's the orbital future of... False {'id': 369558203, 'id_str': '369558203', 'name...
1 None None Wed Dec 12 11:23:17 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072814138756354050 1072814138756354050 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... stil transferi ile alakalı bir başka güzel dem... False {'id': 68239920, 'id_str': '68239920', 'name':...
2 None None Wed Dec 12 11:14:33 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072811943663153154 1072811943663153154 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 1083927277, 'id_str': '1083927277', 'na...
3 None None Wed Dec 12 11:03:29 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072809155159883776 1072809155159883776 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 636890886, 'id_str': '636890886', 'name...
4 None None Wed Dec 12 10:51:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072609199291547648, 'id_str... 0 False None 1072806089765216257 1072806089765216257 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 21:49:07 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps:... False {'id': 2370471067, 'id_str': '2370471067', 'na...
5 None None Wed Dec 12 10:39:30 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072803120068128770 1072803120068128770 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Hint of the day\nProbability Density Functions... True {'id': 126638564, 'id_str': '126638564', 'name...
6 None None Wed Dec 12 10:36:36 +0000 2018 {'hashtags': [{'text': 'bpstudy', 'indices': [... NaN 0 False None 1072802391966154752 1072802391966154752 ... NaN NaN NaN 1 False {'created_at': 'Wed Dec 12 10:36:08 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @mamono_jingu: https://t.co/fp8rtGXOie #bps... False {'id': 14946295, 'id_str': '14946295', 'name':...
7 None None Wed Dec 12 10:36:08 +0000 2018 {'hashtags': [{'text': 'bpstudy', 'indices': [... NaN 1 False None 1072802274823495682 1072802274823495682 ... NaN NaN NaN 1 False NaN <a href="http://twitter.com" rel="nofollow">Tw... https://t.co/fp8rtGXOie #bpstudy googleコラボラトリー... False {'id': 623559636, 'id_str': '623559636', 'name...
8 None None Wed Dec 12 10:29:02 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072800488461090816 1072800488461090816 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 10:22:05 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @poliastro_py: What's the orbital future of... False {'id': 611662254, 'id_str': '611662254', 'name...
9 None None Wed Dec 12 10:22:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 4 False None 1072798736676470784 1072798736676470784 ... NaN NaN NaN 4 False NaN <a href="https://about.twitter.com/products/tw... What's the orbital future of MarCO-A &amp; B? ... True {'id': 989455044650119168, 'id_str': '98945504...
10 None None Wed Dec 12 09:32:08 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072786166569689089 1072786166569689089 ... NaN NaN NaN 1 False {'created_at': 'Wed Dec 12 00:29:01 +0000 2018... <a href="http://twitter.com/download/android" ... RT @realpython: Unicorn! · GitHub https://t.co... False {'id': 24900939, 'id_str': '24900939', 'name':...
11 None None Wed Dec 12 06:48:33 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072745000226631680 1072745000226631680 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... yeah, I can tell that MHRD is really practical... False {'id': 5283722, 'id_str': '5283722', 'name': '...
12 None None Wed Dec 12 05:44:59 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072729004203855873 1072729004203855873 ... NaN NaN NaN 7 False {'created_at': 'Tue Dec 11 18:25:14 +0000 2018... <a href="http://twitter.com/download/android" ... RT @jeremyphoward: @honnibal I absolutely do. ... False {'id': 417985944, 'id_str': '417985944', 'name...
13 None None Wed Dec 12 05:38:22 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072609199291547648, 'id_str... 0 False None 1072727339279106048 1072727339279106048 ... NaN NaN NaN 5 False {'created_at': 'Tue Dec 11 21:49:07 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps:... False {'id': 892732157294030848, 'id_str': '89273215...
14 None None Wed Dec 12 04:56:31 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072716808749105152 1072716808749105152 ... NaN NaN NaN 4 False {'created_at': 'Wed Dec 12 02:34:35 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @bhutanisanyam1: A demo of checkpointing yo... False {'id': 2918040270, 'id_str': '2918040270', 'na...
15 None None Wed Dec 12 04:26:12 +0000 2018 {'hashtags': [{'text': 'python', 'indices': [1... {'media': [{'id': 1071426422747598848, 'id_str... 0 False None 1072709175669547009 1072709175669547009 ... NaN NaN NaN 41 False {'created_at': 'Sat Dec 08 15:29:35 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @algoritmic: A Jupyter notebook on how to p... False {'id': 321699282, 'id_str': '321699282', 'name...
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21 None None Wed Dec 12 02:39:35 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072682345537421312 1072682345537421312 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com/download/iphone" r... @hardmaru check out my notebook for Deep Pensi... True {'id': 2725381, 'id_str': '2725381', 'name': '...
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25 None None Wed Dec 12 00:29:01 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 4 False None 1072649488043524097 1072649488043524097 ... NaN NaN NaN 1 False NaN <a href="https://recurpost.com" rel="nofollow"... Unicorn! · GitHub https://t.co/uErXjAbpov Mult... False {'id': 745911914, 'id_str': '745911914', 'name...
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28 None None Tue Dec 11 23:23:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072632896480075778 1072632896480075778 ... NaN 1.072575e+18 1072574516931497986 3 False {'created_at': 'Tue Dec 11 22:42:36 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sar... False {'id': 3698212043, 'id_str': '3698212043', 'na...
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... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
70 None None Tue Dec 11 00:14:38 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 7 False None 1072283480522919937 1072283480522919937 ... NaN NaN NaN 2 False NaN <a href="http://twitter.com/download/android" ... Just found Google colab via @cwcyau cc @rmcolq... True {'id': 2191109263, 'id_str': '2191109263', 'na...
71 None None Mon Dec 10 23:50:01 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072277287104434179 1072277287104434179 ... NaN NaN NaN 4 False {'created_at': 'Mon Dec 10 23:29:38 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかな... False {'id': 25090605, 'id_str': '25090605', 'name':...
72 None None Mon Dec 10 23:29:38 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 12 False None 1072272157802094592 1072272157802094592 ... NaN NaN NaN 4 False NaN <a href="http://twitter.com" rel="nofollow">Tw... もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.c... False {'id': 4167551, 'id_str': '4167551', 'name': '...
73 None None Mon Dec 10 22:51:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072262431915851776 1072262431915851776 ... NaN NaN NaN 5 False {'created_at': 'Mon Dec 10 21:22:16 +0000 2018... <a href="http://twitter.com/download/android" ... RT @fmasanori: Análise de Dados sobre AIDS, fe... False {'id': 1093788270, 'id_str': '1093788270', 'na...
74 None None Mon Dec 10 22:47:48 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072261626747731968 1072261626747731968 ... NaN NaN NaN 13 False {'created_at': 'Wed Dec 05 13:39:11 +0000 2018... <a href="https://mobile.twitter.com" rel="nofo... RT @ikkoham: 量子Advent Calendarの記事書いた。\nQiskitの... False {'id': 320951147, 'id_str': '320951147', 'name...
75 None None Mon Dec 10 22:38:14 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 1 False None 1072259222543446016 1072259222543446016 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... @seanmylaw I see why this can be misleading, b... True {'id': 865622395, 'id_str': '865622395', 'name...
76 None None Mon Dec 10 22:36:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072258732048990208, 'id_str... 0 False None 1072258735475777542 1072258735475777542 ... NaN NaN NaN 0 False NaN <a href="https://collabmarket.org/" rel="nofol... Riesgo Sistemico fecha 2018-12-10\n https://t.... False {'id': 721868325576404992, 'id_str': '72186832...
77 None None Mon Dec 10 22:25:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072255909504532481 1072255909504532481 ... NaN NaN NaN 3 False {'created_at': 'Mon Dec 10 01:16:39 +0000 2018... <a href="http://twitter.com/download/iphone" r... RT @LivingHistUON: It’s not easy to get nice, ... False {'id': 350683618, 'id_str': '350683618', 'name...
78 None None Mon Dec 10 22:24:30 +0000 2018 {'hashtags': [{'text': 'fitting', 'indices': [... NaN 1 False None 1072255766176911360 1072255766176911360 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com/download/android" ... Highlight of the day: generic function #fittin... False {'id': 944291984675614721, 'id_str': '94429198...
79 None None Mon Dec 10 21:57:39 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072249007085367296 1072249007085367296 ... NaN NaN NaN 5 False {'created_at': 'Mon Dec 10 21:22:16 +0000 2018... <a href="http://twitter.com/download/android" ... RT @fmasanori: Análise de Dados sobre AIDS, fe... False {'id': 459268029, 'id_str': '459268029', 'name...
80 None None Mon Dec 10 21:55:04 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072248356859273217 1072248356859273217 ... NaN 1.071697e+18 1071696984942219264 3 False {'created_at': 'Mon Dec 10 07:16:41 +0000 2018... <a href="http://twitter.com/download/android" ... RT @betatim: If you'd like to try the nbtutor ... False {'id': 2174482088, 'id_str': '2174482088', 'na...
81 None None Mon Dec 10 21:42:11 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072245115555594252 1072245115555594252 ... NaN 1.071697e+18 1071696984942219264 3 False {'created_at': 'Mon Dec 10 07:16:41 +0000 2018... <a href="https://about.twitter.com/products/tw... RT @betatim: If you'd like to try the nbtutor ... False {'id': 933014576647548928, 'id_str': '93301457...
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83 None None Mon Dec 10 21:22:16 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 29 False None 1072240104943558656 1072240104943558656 ... NaN NaN NaN 5 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Análise de Dados sobre AIDS, feito por um alun... False {'id': 14502701, 'id_str': '14502701', 'name':...
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85 None None Mon Dec 10 21:12:06 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 2 False None 1072237546007027712 1072237546007027712 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... 少々前に話題になったZITが現時点で付与されている特許の要約からのトピック分析もざっくり行っ... False {'id': 314634742, 'id_str': '314634742', 'name...
86 None None Mon Dec 10 20:44:03 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072230485789630464, 'id_str... 1 False None 1072230487450517504 1072230487450517504 ... NaN NaN NaN 0 False NaN <a href="https://dlvrit.com/" rel="nofollow">d... Movie genre prediction with the Object2Vec alg... False {'id': 900033256011255808, 'id_str': '90003325...
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93 None None Mon Dec 10 18:55:05 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... {'media': [{'id': 1072203060229824513, 'id_str... 0 False None 1072203061915873280 1072203061915873280 ... NaN NaN NaN 0 False NaN <a href="https://dlvrit.com/" rel="nofollow">d... Amazon Object2Vec: Document Classification wit... False {'id': 1029603103123759105, 'id_str': '1029603...
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95 None None Mon Dec 10 17:58:18 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 2 False None 1072188772605927424 1072188772605927424 ... NaN NaN NaN 0 False NaN <a href="http://twitter.com" rel="nofollow">Tw... Playing with Binder &amp; ipywidgets… TIL a 30... False {'id': 112876914, 'id_str': '112876914', 'name...
96 None None Mon Dec 10 17:12:00 +0000 2018 {'hashtags': [], 'symbols': [], 'user_mentions... NaN 0 False None 1072177122121277440 1072177122121277440 ... NaN NaN NaN 5 False {'created_at': 'Fri Dec 07 16:12:12 +0000 2018... <a href="http://twitter.com" rel="nofollow">Tw... RT @alexandernitz: With all the recent gravita... False {'id': 310155354, 'id_str': '310155354', 'name...
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100 rows × 30 columns

{:.input_area} ```python df = pd.DataFrame(python_tweets['statuses']) df['text'].values ``` {:.output .output_data_text} ``` array(["RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!\n\nhttps://t.co/…", 'stil transferi ile alakalı bir başka güzel demo: https://t.co/6cLW79Pgb7', "RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!\n\nhttps://t.co/…", "RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!\n\nhttps://t.co/…", 'RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps://t.co/SZrUoo8IAY https://t.co/71NJebzsfV', 'Hint of the day\nProbability Density Functions in Python: the early evaluation approach (numpy array) and the lazy e… https://t.co/ZxAwo0zsrG', 'RT @mamono_jingu: https://t.co/fp8rtGXOie #bpstudy googleコラボラトリーってこれかな？ #bpstudy', 'https://t.co/fp8rtGXOie #bpstudy googleコラボラトリーってこれかな？ #bpstudy', "RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!\n\nhttps://t.co/…", "What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!… https://t.co/s0IEklxwCZ", 'RT @realpython: Unicorn! · GitHub https://t.co/uErXjAbpov MultiIndex Tutorial.ipynb', 'yeah, I can tell that MHRD is really practical since I can understand Magma tutorial more than before! https://t.co/U7CQIHPHlV', "RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th…", 'RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps://t.co/SZrUoo8IAY https://t.co/71NJebzsfV', 'RT @bhutanisanyam1: A demo of checkpointing your models to Google Drive when using Collab\n\nhttps://t.co/EiWk4lViEZ', 'RT @algoritmic: A Jupyter notebook on how to process images into PETSCII art https://t.co/z35VJEDvzk #python https://t.co/HzJg2B21b4', 'RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b…', 'RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps://t.co/SZrUoo8IAY https://t.co/71NJebzsfV', 'RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b…', 'RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b…', 'RT @bhutanisanyam1: A demo of checkpointing your models to Google Drive when using Collab\n\nhttps://t.co/EiWk4lViEZ', '@hardmaru check out my notebook for Deep Pensieve, a souped up VAE. keras made it super easy to collect and hack to… https://t.co/rObgNxFm1j', 'A demo of checkpointing your models to Google Drive when using Collab\n\nhttps://t.co/EiWk4lViEZ', '@realpython Link: https://t.co/7kPtBJ1S1j', "RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th…", 'Unicorn! · GitHub https://t.co/uErXjAbpov MultiIndex Tutorial.ipynb', 'RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b…', 'RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke\n\nhttps://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir', 'RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke\n\nhttps://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir', "RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th…", 'RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke\n\nhttps://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir', 'Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata tha… https://t.co/aUBVEyGonp', 'By Daniel Csaba, Thomas J. Sargent and Balint Szoke\n\nhttps://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir', 'RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps://t.co/SZrUoo8IAY https://t.co/71NJebzsfV', 'Riesgo Sistemico fecha 2018-12-11\n https://t.co/CHmr9IWoA6 https://t.co/tNzE9UBwwg', 'RT @ZaminIqbal: Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast. I like t…', 'ワイもCNNでくずし字の分類やってみた（＾ω＾）\nhttps://t.co/SZrUoo8IAY https://t.co/71NJebzsfV', "@jeremyjordan @PyTorch @GoogleColab @ProjectJupyter I too haven't had any luck outside of MNIST. So I might actuall… https://t.co/bS7AfbfCyl", "RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th…", 'Handwritten Digit Classification using Deep Feed Forward Neural Network Using #ApacheSpark and #Intel BigDL develop… https://t.co/pjUrO9QDSO', '@gaurav_bio @jakevdp Sorry wong link that is cloud datalab the colab pip is here https://t.co/qF0vXqzlr4', "RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th…", "@honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and w… https://t.co/SuOgD2EwDr", "@Asmodaie @GabrielG439 The link to github is effectively me blogging about it. But I'm not sure the link works for… https://t.co/Wov9QwUQtA", '@dataquestio Step 2 complete! Humble Superman has new Superpowers : #Dataviz & Data Cleaning.. Oh yeah!!… https://t.co/LdCM3U1qtC', 'RT @neurokinetikz: Deep Pensieve™️, now with Residual Attention Modules (RAM), an idea that was published 11 days ago by some graduate stud…', 'こういうのがあるのか\nhttps://t.co/JBTbtykZ4n', 'RT @sigfpe: Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal! https://t.…', 'RT @sigfpe: Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal! https://t.…', 'RT @DeepMindAI: The BigGAN generators from our paper https://t.co/QUYlE9IBsE are now available on TF Hub (https://t.co/GHM9pIgQPw). Try the…', 'Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal… https://t.co/0xZ2ddLpma', 'https://t.co/iHlaIWTPso', '@NotFakeBrendan @Bellspringsteen check it out! https://t.co/4vrxZdBKU0', '@RegexTip @A_K_Nain This might help https://t.co/KXeq6rHDu0', 'https://t.co/18aHDRQxp6 :D', "For whatever reason, @github isn't rendering ipynb files on @googlechrome for me today. Probably have a weird cooki… https://t.co/d5m3H4GSkN", 'RT @psi_bar: Discover Sentiments in Tweets \n\nhttps://t.co/iDgsXHYKyE\n\n#Twitter #trends #python #Azure', 'Discover Sentiments in Tweets \n\nhttps://t.co/iDgsXHYKyE\n\n#Twitter #trends #python #Azure', 'Amazon Object2Vec: Document Classification with Deep Representation Learning by via Hacker News… https://t.co/5vb0dOfqVp', 'RT @zaidalyafeai: Eager Execution Enabled\nIn this notebook I explain different concepts in eager execution. I go over variables, ops, gradi…', 'RT @lucasoft_co_uk: RT @algoritmic A Jupyter notebook on how to process images into PETSCII art https://t.co/dzmVbmRiFk #python #bigdata #e…', 'RT @itiskj: "elegant scipy" 読み始めたけど、Python runtime もあるし .md も書けるし Mathjax も対応しているし。Jupyter Notebook でそのまま書籍にしてオンライン公開してしまうの、一番読者にとって嬉しい形かもし…', '@GoogleColab https://t.co/HVPs807Yc1 am I the only one not able to use %load magic in colab?… https://t.co/LGsv6wRXK7', 'Deep Pensieve™️, now with Residual Attention Modules (RAM), an idea that was published 11 days ago by some graduate… https://t.co/JdMgiZj41W', 'RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N', 'RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N', 'RT @ZaminIqbal: Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast. I like t…', 'RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC\nhttps://t.co/YXd8n7FcwD', 'é impressao minha ou os nteract nbs n ficam salvos a n ser q vc mande? com isso finalmente esta resolvida a velha… https://t.co/VPjVA27o57', "If you enjoyed @JohnLaTwC's detailed post couple of days back about automating investigations using Jupyter Noteboo… https://t.co/75NlXTa8wN", 'Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast.… https://t.co/RzW5adV3Gc', 'RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N', 'もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N', 'RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC\nhttps://t.co/YXd8n7FcwD', 'RT @ikkoham: 量子Advent Calendarの記事書いた。\nQiskitのチュートリアルのチュートリアルです。ホンマに入門記事なので気楽に読んでください。\n\n今日から量子生活始めませんか？\n\nhttps://t.co/ScNIkmD7d1', '@seanmylaw I see why this can be misleading, but it was actually 500 out of 5000, not 5000 out of 50k (was too impa… https://t.co/i9HpubmyDP', 'Riesgo Sistemico fecha 2018-12-10\n https://t.co/CHmr9IWoA6 https://t.co/Euk5iAzzHS', 'RT @LivingHistUON: It’s not easy to get nice, big full-page images from TroveAustralia’s digitised newspapers, so I made a little app to he…', 'Highlight of the day: generic function #fitting with a very nice and functional #GUI in #Python using #hyperspy: https://t.co/siH8QOEvJL', 'RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC\nhttps://t.co/YXd8n7FcwD', "RT @betatim: If you'd like to try the nbtutor live without installing anything @mybinderteam https://t.co/r6vQRJRGOr has you covered. All y…", "RT @betatim: If you'd like to try the nbtutor live without installing anything @mybinderteam https://t.co/r6vQRJRGOr has you covered. All y…", 'Outro interessante: Análise de Óbitos Fetais em São Paulo https://t.co/IaA7sDtYyO', 'Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC\nhttps://t.co/YXd8n7FcwD', 'HNews: Movie genre prediction with the Object2Vec algorithm https://t.co/90CvNIctl4', '少々前に話題になったZITが現時点で付与されている特許の要約からのトピック分析もざっくり行ってみた。「前記」とかが多数出ているなどストップワード指定が甘いが。やはり結果の解釈は難度が高い。https://t.co/TaiLekBYHo', 'Movie genre prediction with the Object2Vec algorithm https://t.co/qmMHY1zfeK https://t.co/TvE7qAayBl', 'Movie genre prediction with the Object2Vec algorithm https://t.co/COUIliP0m4', '🛒🦍@amazon: "Amazon Object2Vec: Document Classification with Deep Representation Learning" https://t.co/C2upY7wFA3… https://t.co/Xiigx4bBI0', 'Movie genre prediction with the Object2Vec algorithm: https://t.co/eW2opKJLsu Comments: https://t.co/XWUAcWqYub', 'Amazon Object2Vec: Document Classification with Deep Representation Learning https://t.co/4bx1gm0xMo', 'Movie genre prediction with the Object2Vec algorithm https://t.co/Zi4G324NhR (cmts https://t.co/3QIBaaJgoz)', 'Movie genre prediction with the Object2Vec algorithm https://t.co/3gib9jSS0T', 'Amazon Object2Vec: Document Classification with Deep Representation Learning https://t.co/y3g0S7Whs5 https://t.co/1sxNcatKHU', 'Amazon Object2Vec: Document Classification with Deep Representation Learning\nL: https://t.co/H8Xtmn6UAw\nC: https://t.co/4hADMxkvok', 'Playing with Binder & ipywidgets… TIL a 30 point drift in @quarq zero offset is worth ~10W @ 100RPM.\nhttps://t.co/JMIEEcBfaK', 'RT @alexandernitz: With all the recent gravitational waves found by @LIGO and @ego_virgo, why not try analyzing GW data yourself! Try this…', 'RT @iamtrask: What if your email server kept your emails *encrypted* - even when running ML spellcheck on each email?\n\nIt is possible to ru…', "Btw, I've added an example how to setup TensorFlow serving in Colab - https://t.co/qQh3zi64zk #TensorFlow #ranking… https://t.co/4mmq5ubQLE", 'RT @algoritmic: A Jupyter notebook on how to process images into PETSCII art https://t.co/z35VJEDvzk #python https://t.co/HzJg2B21b4'], dtype=object) ``` {:.input_area} ```python for status_update in df['text'].values: print(status_update) ``` {:.output .output_stream} ``` RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community! https://t.co/… stil transferi ile alakalı bir başka güzel demo: https://t.co/6cLW79Pgb7 RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community! https://t.co/… RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community! https://t.co/… RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾） https://t.co/SZrUoo8IAY https://t.co/71NJebzsfV Hint of the day Probability Density Functions in Python: the early evaluation approach (numpy array) and the lazy e… https://t.co/ZxAwo0zsrG RT @mamono_jingu: https://t.co/fp8rtGXOie #bpstudy googleコラボラトリーってこれかな？ #bpstudy https://t.co/fp8rtGXOie #bpstudy googleコラボラトリーってこれかな？ #bpstudy RT @poliastro_py: What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community! https://t.co/… What's the orbital future of MarCO-A & B? Check out this notebook shared in the @LibreSpace_Fnd community!… https://t.co/s0IEklxwCZ RT @realpython: Unicorn! · GitHub https://t.co/uErXjAbpov MultiIndex Tutorial.ipynb yeah, I can tell that MHRD is really practical since I can understand Magma tutorial more than before! https://t.co/U7CQIHPHlV RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th… RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾） https://t.co/SZrUoo8IAY https://t.co/71NJebzsfV RT @bhutanisanyam1: A demo of checkpointing your models to Google Drive when using Collab https://t.co/EiWk4lViEZ RT @algoritmic: A Jupyter notebook on how to process images into PETSCII art https://t.co/z35VJEDvzk #python https://t.co/HzJg2B21b4 RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b… RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾） https://t.co/SZrUoo8IAY https://t.co/71NJebzsfV RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b… RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b… RT @bhutanisanyam1: A demo of checkpointing your models to Google Drive when using Collab https://t.co/EiWk4lViEZ @hardmaru check out my notebook for Deep Pensieve, a souped up VAE. keras made it super easy to collect and hack to… https://t.co/rObgNxFm1j A demo of checkpointing your models to Google Drive when using Collab https://t.co/EiWk4lViEZ @realpython Link: https://t.co/7kPtBJ1S1j RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th… Unicorn! · GitHub https://t.co/uErXjAbpov MultiIndex Tutorial.ipynb RT @johnkitchin: Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata that can b… RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke https://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke https://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th… RT @M_De_Nardi: By Daniel Csaba, Thomas J. Sargent and Balint Szoke https://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir Need a new way to make a slideshow from #orgmode? https://t.co/2XdfQcJ1az now lets you put custom cell metadata tha… https://t.co/aUBVEyGonp By Daniel Csaba, Thomas J. Sargent and Balint Szoke https://t.co/hX0bGYpAfc https://t.co/fOc1P5G1ir RT @tdualdir: ワイもCNNでくずし字の分類やってみた（＾ω＾） https://t.co/SZrUoo8IAY https://t.co/71NJebzsfV Riesgo Sistemico fecha 2018-12-11 https://t.co/CHmr9IWoA6 https://t.co/tNzE9UBwwg RT @ZaminIqbal: Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast. I like t… ワイもCNNでくずし字の分類やってみた（＾ω＾） https://t.co/SZrUoo8IAY https://t.co/71NJebzsfV @jeremyjordan @PyTorch @GoogleColab @ProjectJupyter I too haven't had any luck outside of MNIST. So I might actuall… https://t.co/bS7AfbfCyl RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th… Handwritten Digit Classification using Deep Feed Forward Neural Network Using #ApacheSpark and #Intel BigDL develop… https://t.co/pjUrO9QDSO @gaurav_bio @jakevdp Sorry wong link that is cloud datalab the colab pip is here https://t.co/qF0vXqzlr4 RT @jeremyphoward: @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and why th… @honnibal I absolutely do. And the next course will take students thru those notebooks so they'll exactly how and w… https://t.co/SuOgD2EwDr @Asmodaie @GabrielG439 The link to github is effectively me blogging about it. But I'm not sure the link works for… https://t.co/Wov9QwUQtA @dataquestio Step 2 complete! Humble Superman has new Superpowers : #Dataviz & Data Cleaning.. Oh yeah!!… https://t.co/LdCM3U1qtC RT @neurokinetikz: Deep Pensieve™️, now with Residual Attention Modules (RAM), an idea that was published 11 days ago by some graduate stud… こういうのがあるのか https://t.co/JBTbtykZ4n RT @sigfpe: Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal! https://t.… RT @sigfpe: Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal! https://t.… RT @DeepMindAI: The BigGAN generators from our paper https://t.co/QUYlE9IBsE are now available on TF Hub (https://t.co/GHM9pIgQPw). Try the… Three answers to a question I was asked about the probability of winning. I was pleased to find they were all equal… https://t.co/0xZ2ddLpma https://t.co/iHlaIWTPso @NotFakeBrendan @Bellspringsteen check it out! https://t.co/4vrxZdBKU0 @RegexTip @A_K_Nain This might help https://t.co/KXeq6rHDu0 https://t.co/18aHDRQxp6 :D For whatever reason, @github isn't rendering ipynb files on @googlechrome for me today. Probably have a weird cooki… https://t.co/d5m3H4GSkN RT @psi_bar: Discover Sentiments in Tweets https://t.co/iDgsXHYKyE #Twitter #trends #python #Azure Discover Sentiments in Tweets https://t.co/iDgsXHYKyE #Twitter #trends #python #Azure Amazon Object2Vec: Document Classification with Deep Representation Learning by via Hacker News… https://t.co/5vb0dOfqVp RT @zaidalyafeai: Eager Execution Enabled In this notebook I explain different concepts in eager execution. I go over variables, ops, gradi… RT @lucasoft_co_uk: RT @algoritmic A Jupyter notebook on how to process images into PETSCII art https://t.co/dzmVbmRiFk #python #bigdata #e… RT @itiskj: "elegant scipy" 読み始めたけど、Python runtime もあるし .md も書けるし Mathjax も対応しているし。Jupyter Notebook でそのまま書籍にしてオンライン公開してしまうの、一番読者にとって嬉しい形かもし… @GoogleColab https://t.co/HVPs807Yc1 am I the only one not able to use %load magic in colab?… https://t.co/LGsv6wRXK7 Deep Pensieve™️, now with Residual Attention Modules (RAM), an idea that was published 11 days ago by some graduate… https://t.co/JdMgiZj41W RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N RT @ZaminIqbal: Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast. I like t… RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC https://t.co/YXd8n7FcwD é impressao minha ou os nteract nbs n ficam salvos a n ser q vc mande? com isso finalmente esta resolvida a velha… https://t.co/VPjVA27o57 If you enjoyed @JohnLaTwC's detailed post couple of days back about automating investigations using Jupyter Noteboo… https://t.co/75NlXTa8wN Just found Google colab via @cwcyau cc @rmcolq, @Phelimb, @mbhall88, @KerrMalone, @GraceBlackwel1, @martibartfast.… https://t.co/RzW5adV3Gc RT @yutakashino: もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N もうイキナリcolabで実行できたりして，最高かよ感しかないですね… https://t.co/XMGf2pWl6N RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC https://t.co/YXd8n7FcwD RT @ikkoham: 量子Advent Calendarの記事書いた。 Qiskitのチュートリアルのチュートリアルです。ホンマに入門記事なので気楽に読んでください。 今日から量子生活始めませんか？ https://t.co/ScNIkmD7d1 @seanmylaw I see why this can be misleading, but it was actually 500 out of 5000, not 5000 out of 50k (was too impa… https://t.co/i9HpubmyDP Riesgo Sistemico fecha 2018-12-10 https://t.co/CHmr9IWoA6 https://t.co/Euk5iAzzHS RT @LivingHistUON: It’s not easy to get nice, big full-page images from TroveAustralia’s digitised newspapers, so I made a little app to he… Highlight of the day: generic function #fitting with a very nice and functional #GUI in #Python using #hyperspy: https://t.co/siH8QOEvJL RT @fmasanori: Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC https://t.co/YXd8n7FcwD RT @betatim: If you'd like to try the nbtutor live without installing anything @mybinderteam https://t.co/r6vQRJRGOr has you covered. All y… RT @betatim: If you'd like to try the nbtutor live without installing anything @mybinderteam https://t.co/r6vQRJRGOr has you covered. All y… Outro interessante: Análise de Óbitos Fetais em São Paulo https://t.co/IaA7sDtYyO Análise de Dados sobre AIDS, feito por um aluno do 1o semestre da FATEC https://t.co/YXd8n7FcwD HNews: Movie genre prediction with the Object2Vec algorithm https://t.co/90CvNIctl4 少々前に話題になったZITが現時点で付与されている特許の要約からのトピック分析もざっくり行ってみた。「前記」とかが多数出ているなどストップワード指定が甘いが。やはり結果の解釈は難度が高い。https://t.co/TaiLekBYHo Movie genre prediction with the Object2Vec algorithm https://t.co/qmMHY1zfeK https://t.co/TvE7qAayBl Movie genre prediction with the Object2Vec algorithm https://t.co/COUIliP0m4 🛒🦍@amazon: "Amazon Object2Vec: Document Classification with Deep Representation Learning" https://t.co/C2upY7wFA3… https://t.co/Xiigx4bBI0 Movie genre prediction with the Object2Vec algorithm: https://t.co/eW2opKJLsu Comments: https://t.co/XWUAcWqYub Amazon Object2Vec: Document Classification with Deep Representation Learning https://t.co/4bx1gm0xMo Movie genre prediction with the Object2Vec algorithm https://t.co/Zi4G324NhR (cmts https://t.co/3QIBaaJgoz) Movie genre prediction with the Object2Vec algorithm https://t.co/3gib9jSS0T Amazon Object2Vec: Document Classification with Deep Representation Learning https://t.co/y3g0S7Whs5 https://t.co/1sxNcatKHU Amazon Object2Vec: Document Classification with Deep Representation Learning L: https://t.co/H8Xtmn6UAw C: https://t.co/4hADMxkvok Playing with Binder & ipywidgets… TIL a 30 point drift in @quarq zero offset is worth ~10W @ 100RPM. https://t.co/JMIEEcBfaK RT @alexandernitz: With all the recent gravitational waves found by @LIGO and @ego_virgo, why not try analyzing GW data yourself! Try this… RT @iamtrask: What if your email server kept your emails *encrypted* - even when running ML spellcheck on each email? It is possible to ru… Btw, I've added an example how to setup TensorFlow serving in Colab - https://t.co/qQh3zi64zk #TensorFlow #ranking… https://t.co/4mmq5ubQLE RT @algoritmic: A Jupyter notebook on how to process images into PETSCII art https://t.co/z35VJEDvzk #python https://t.co/HzJg2B21b4 ```

Your turn

Do a search! </div> Get 3,200 tweets from somone {:.input_area} ```python pd.DataFrame(user_timeline).iloc[-1]['id'] ``` {:.input_area} ```python user_timeline = twitter.get_user_timeline(screen_name='oprah', count = 200, max_id = 929540230465458177) ``` {:.input_area} ```python def get_timeline(screen_name): tweets = [] user_timeline = twitter.get_user_timeline(screen_name=screen_name, count = 200) df = pd.DataFrame(user_timeline) tweets.append(df) most_recent = pd.DataFrame(user_timeline).iloc[-1]['id'] for i in range(0,15): user_timeline = twitter.get_user_timeline(screen_name=screen_name, count = 200, max_id = most_recent) df = pd.DataFrame(user_timeline) tweets.append(df) most_recent = pd.DataFrame(user_timeline).iloc[-1]['id'] tweet_df = pd.concat(tweets, ignore_index = True) return tweets ```