Python for Data Science
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
https://www.udemy.com/course/python-rest-apis-with-flask-docker-mongodb-and-aws-devops/
https://www.udemy.com/course/rest-api-flask-and-python/
https://www.udemy.com/course/react-django-full-stack/
https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library/
https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library-part-2/
https://www.udemy.com/course/python-bot-development/
https://ricochet.com/565273/archives/predicting-elections-using-a-i-and-machine-learning/
https://link.springer.com/article/10.1007/s40092-017-0238-2
https://pdfs.semanticscholar.org/fd8b/8e5d4ae127afc71437d39881d69d963ed80a.pdf
https://medium.com/analytics-vidhya/twitter-sentiment-analysis-for-the-2019-election-8f7d52af1887
Anaconda
Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)