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Continue Python crash course Python is a popular general programming language known for its easy readability and extensive library of tools for work in areas such as data science and web development. The programming language supports multiple paradigms such as functional, procedural and object-oriented programming (oop) and is comparable to other high-level languages such as Java and JavaScript. With its powerful features, ease of use and the huge standard library, Python is easily one of the most useful languages in today's software development. Why learn Python? Whether you are a beginner trying to get into software development or a more experienced programmer looking for Pivot for web development, data science or software engineering, Python is a great language to learn how to progress your career. The official Python Package Index, PyPI, hosts more than 200,000 Python Packages such as pandas, a library that allows data analysis and work with SQL database; Django, a framework that allows rapid development of web applications using Python; and more. This massive package library makes Python useful throughout the academy and industry. Learn Python with Online Python Courses and TutorialsMIT, Harvard and other top institutions use Python in their intro computer courses, data science and research. Introduction of MIT to Computer Science Using Python is a popular online auto-paced class designed to give newcomers aoverview of Python programming. It will take you from "the world of hi" to understand topics such as Python syntax, data structures, data types, basic algorithms and Python code debugging. Alternatives to these beginner courses include Georgia Tech in Python Programming, University of Michigan Programming for All (Getting Started with Python,) and IBM Python Basics for Data Science. Once you become a more experienced programmer and feel comfortable with the basic Python code, take your skills to the next level with intermediate or advanced Python classes. The introduction of MIT to computational thinking and data science makes you better acquainted with the ins and outs of Python programming language. The course offers insights into Python tutorials in the context of data science and introduces concepts such as data analysis, data visualization and machine learning. Other advanced Python programming courses will deal with topics such as decorators, interface with web applications using Django and Flask, and conduct statistical analysis with machine learning tools such as PyTorch. 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