When you make your own website using third-party clouds, e.g. Heroku, there is a restriction for the uploaded data size. For example, Heroku only allows 500MB memory space. This might become a too tight constraint if you want to add some pictures to your websites as high resolution pictures nowadays could easily be about 10MB.

This blog post is to remind myself the simple useage of the tweepy. I will extract someone's past tweets using tweepy and create .csv file that can be used to train machine learning models. I created the scripts by referencing the following seminal blog posts:

• api.user_timeline not grabbing full tweet

• yanofsky/tweet_dumper.py

• tweepy

Importing necessary python scripts.