In the process of preparing this material, I have learned quite a lot, and you have inspired me to do more. Congratulations on making it to this level. If you have done all the exercises and the projects, now you are capable of going to data analysis, data science, machine learning, or web development paths. Support the author for more educational materials.
Now it is time to express your thoughts about the author and Python in 30 days.
GIVE FEEDBACK: http://thirtydayofpython-api.herokuapp.com/feedback
Day 29: Building API In this section, we will cover a RESTful API that uses HTTP…
Day 28: Application Programming Interface (API) API API stands for Application Programming Interface. The kind…
Day 27: Python with MongoDB Python is a backend technology, and it can be connected…
Day 26: Python for Web Python is a general-purpose programming language, and it can be…
Day 25: Pandas Pandas is an open-source, high-performance, easy-to-use data structure, and data analysis tool…
Day 24 - Python for Statistical Analysis Statistics Statistics is the discipline that studies the collection, organization, displaying, analysing, interpretation and presentation…