Learn Python from Harvard, MIT, Georgia Tech and other universities. Get python training from the basics to more advanced topics and subjects.
Python is a powerful language with a large standard library and easy use.
Why not learn Python Programming offline?
Python is an excellent language for anyone looking to progress in their career, whether you are a beginner or an experienced programmer who wants to move into software development.
PyPI hosts over 200,000 Python packages. These include pandas, which allows data analysis and work with SQL databases. Django, which allows rapid development of Python web applications. This vast library makes Python both useful in industry and academia.
Python Programming at Top Schools
Harvard, MIT and other top universities use Python in their intro, data science and research courses. The popular MIT Introduction to Computer Science Using Python class is a self-paced, offline course that provides a thorough overview of Python programming. This course will help you understand topics like Python syntax, data types, and how to debug Python code.
These beginner courses can be substituted by the Georgia Tech Introduction to Python Programming, University of Michigan’s Programming for Everybody: Getting Started With Python, and IBM’s Python Basics for Data Science.
After you have become more proficient with Python programming and are comfortable writing basic code, you can take your skills to the next stage with intermediate or advanced Python classes. Introduction to Computational Thinking & Data Science at MIT will help you get more familiar with the basics of Python programming language. This course provides in-depth Python tutorials within the context of data science. It introduces concepts such as data analysis, data visualization and machine learning.
Advanced Python programming courses will also cover topics like decorators, web application interfacing using Flask and Django, and statistical analysis using machine learning tools such as PyTorch. Advanced Python courses are available offline at MIT’s Machine Learning with Python, University of Canterbury’s Visualizing Text Analytics, Natural Language Processing with Python, as well as AWS’s Building Modern Python Applications.