Leading universities are providing free Python courses, which is an excellent chance for students interested in pursuing a career in the language.

About Python: Python is a versatile and dynamically-typed programming language, renowned for its readability and simplicity. Guido van Rossum created it in the late 1980s, emphasizing code readability and ease of use. Python supports object-oriented, imperative, and functional programming paradigms, making it adaptable for various applications. Its extensive standard library simplifies complex tasks, fostering rapid development. Widely used in web development, data science, artificial intelligence, and automation, Python boasts a vast and active community. Its syntax encourages clear, logical code, enhancing collaboration. Python’s cross-platform compatibility further contributes to its popularity, making it an excellent choice for both beginners and seasoned developers alike.

Data Science:

Data science involves extracting meaningful insights from vast datasets using statistical methods, machine learning, and analytical tools. It amalgamates domain expertise, programming skills, and statistical knowledge to interpret complex data patterns. Integral in decision-making processes, data science influences industries ranging from finance to healthcare, driving innovation and informed decision-making.

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Python is an excellent starting language for those interested in a career in data science or software engineering. So, where do you begin?

To help you decide, we have compiled a list of Python Programming courses taught at some of the best universities in the world. Which you can access for free and learn to code from the comfort of your own home.

Most of these courses assume no prior programming knowledge. Additionally, you will be taught the fundamentals of programming and computer science. So you can take the first steps toward a career switch or pivot by learning Python—even if you have never programmed.

1.CS50’S Introduction to programming with Python : Harvard

CS50’S Introduction to programming with Python: Harvard. An introduction to the Python programming language. Acquire the skills necessary to test and “debug” code in addition to writing and reading it. Ideal for students who want to learn Python specifically, regardless of whether they have experience with programming. Discover the differences between variables and types, conditionals and Boolean expressions, loops, and functions, arguments, and return values .

Learn how to use third-party libraries, validate and extract data using regular expressions, read and write files, handle exceptions, locate and fix bugs, and write unit tests. lots of practice with practical opportunities. exercises motivated by actual programming issues. You can write code on your own PC or Mac; no additional software is needed other than a web browser.

2. Python for Everybody – By University of Michigan

A Python course that is highly recommended. Dr. Charles Severance of the University of Michigan is the instructor for the course. This course is for you if you want to quickly become proficient with Python’s features and begin working with various data types and applications, like web scraping and database manipulation.An outline of the knowledge you will acquire is as follows:Python fundamentals Python data structures File I/O operations Regular expressions Network programming Introduction to OOPUsing web services with Python Working with databases in Python Data visualization.

3.Overview of Computer Science and Python Programming by MIT

The MIT course Introduction to Computer Science and Programming with Python teaches the fundamentals of computer science using Python. This course makes no assumptions about previous programming or computer science knowledge.

It aims to teach the fundamentals of computation and programming to students majoring in fields other than computer science. You will learn the fundamentals of Python as well as programming principles over the course of 12 lectures.

This course will cover the following topics:

Basics of computation
Branching and iteration
String manipulation, approximation, bisection etc.
Decomposition, abstraction and functions
Tuples, lists and related concepts
Recursion and dictionaries
Testing and debugging
Object-oriented programming
Program efficiency
Searching and sorting

CS106A: Programming Methodology, offered at Stanford, is another comprehensive course for learning the fundamentals of Python programming. This course also assumes no previous Python programming experience and is designed to teach beginners how to program in Python.

4.Programming Methodology at Stanford.

This course is for anyone who wants to learn how to solve problems using Python. This course contains a large number of assignments, and completing them will help you apply what you have learned.

The course addresses the following topics:

Variables and control flow
Lists and images
Lists of lists and strings
File reading
Nested structures
Dictionaries and drawing
Sorting
Object-oriented programming
Memory management

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https://web.stanford.edu/class/archive/cs/cs106a/cs106a.1226/

5.Computing Principles with Python – CMU

Carnegie Mellon University (CMU)’s open learning initiative provides a free Principles of Computation with Python course. This introduces you to both Python and the fundamentals of computing.

You will learn about iteration and recursion. In addition, you will learn about fundamental computer science concepts like cellular automata, encryption, and computational limits.

Here is a summary of the topics covered:

Programming in Python
Iterative processes.
Recursive thinking.
Binary representation of data and instructions.
Cellular automata
Methods of encryption
Computability Limits

Click here:

https://oli.cmu.edu/courses/principles-of-computation-with-python-open-free/

Conclusion: I hope you have found some useful Python learning resources. You are not required to take all of these courses to become proficient in Python programming. Some of you may want to learn the language’s features and use it for tasks like web scraping and database management. Others may prefer a hands-on approach to problem solving and Python algorithm development. So, depending on your learning objectives, you can select one or more of these courses you believe are the best fit for you. Best wishes for learning!