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Learn Python Free – The Ultimate Guide to Learning Python Basics and Beyond

Python is an open-source programming language for general-purpose programming. Python is one of the most popular languages in the world, with thousands of developers using it in their projects.

It has a broad range of applications, from web development to data science and scientific computing to desktop graphical user interfaces (GUIs) and video games. It can be used as a scripting language for web applications such as YouTube, Instagram, and Twitter.

What is Python Programming and Why Should You Learn it?

Python is a great language for developers because it has a very small learning curve. It is easier to learn than C++, and many people think it’s more fun to code in Python than Java or C#. But most importantly, Python can be used in both professional and personal projects.

Python is free and open-source, so you can use it for any purpose without worrying about licensing fees or other costs. Python also has a huge online courses community of developers who share their knowledge with each other via mailing lists, chat rooms, forums, and blogs. It’s the most popular language on Stack Overflow and Google, which means you can learn from the experts without having to spend hours searching for help.

Python has a powerful object-oriented programming (OOP) system that is easy to use and adapts easily to new needs. It also has support for dynamic typing, which means you can create objects and classes at runtime. This allows you to make your programs faster and more flexible.

How to Start Learning Python Online for Free?

There are a lot of resources online that can help you learn Python. The best way to start is by going through some tutorials or articles and then getting your hands dirty with it. If you’re a beginner, we recommend these resources:

The Best Introductory MOOC Courses On Learn To Code Using Python

Learning a Python programming language can be challenging, time-consuming, and difficult to understand if you don’t follow the correct path.

Python is one of the most popular programming languages of our time. If you want to become a developer, it’s nearly impossible to find a job without knowing Python!

With Python MOOC Courses, learning Python is made easy. You learn on your own time, at your own pace, in your own place with anywhere in the world for FREE.

There are many good online course providers like Udemy, Pluralsight, Codecademy but here we will focus on our favorite word – Learn Python Free

MOOC providers like Coursera, edX provides free Python tutorials along with certification with a nominal fee with support to Financial Aid for the students who cannot afford python certificate fees.

CS50’s Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming. This CS50’s Introduction to Computer Science course by edX, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2014, the on-campus version of CS50 was Harvard’s largest course.

Programming for Everybody (Getting Started with Python)

Programming for Everybody (Getting Started with Python) is another free python course that aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.

The course has no prerequisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

Introduction to Computer Science and Programming Using Python

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. Introduction to Computer Science and Python Programming language course by edX is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems.

Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many, it will be their first and last computer science courses. This run features updated lecture videos, lecture exercises, and problem sets to use the new version of Python 3.5. Even if you took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses or enroll now to refresh your learning.

Bonus Free Python Coding Courses

Another best way to learn python for free is to enroll yourself in online courses provided by leading universities and technology companies.

Microsoft’s free Python course

Python MIT OCW Course

Google’s Python Class

Learn the Essentials of the Python Programming Language

Python has a very powerful library system that you can use to solve problems. It includes a lot of libraries for data manipulation, math, file I/O, and so on. The following is a list of some popular Python libraries that are used by beginners:

NumPy: This is a library for scientific computing and data manipulation. It has special functions that allow you to perform array operations like matrix multiplication, vector addition, scalar division, transpose of matrices, rank calculation (find the size of an array), reshape operation (truncate an array to a specific shape ), and so on.

SciPy: This is a collection of mathematical functions like linear algebra, statistics, signal processing, and more. It has special algorithms for data analysis like Fourier transformation (finding the frequency spectrum of an audio file), matrix operations (dot product/cross product), SVD (singular value decomposition), PCA (principal component analysis), and more.

Scikit-learn: This is a library for machine learning algorithms like clustering, dimensionality reduction, classification, and regression. It has special functions for data manipulation like random sampling from an array, bagging (sorting by mean), sparse matrix-vector multiplication, etc.

Matplotlib: This is a library for creating 2D plots with Python. It has special functions for data manipulation like reshape operations (truncate an array to a specific shape ), slicing/ manipulating arrays, data type, plotting functions, and so on.

NetworkX: This is a library for graph visualization. It has special functions for data manipulation like join operation (join two or more lists together), split operation (split an array into several parts based on values in the array), map operation (find the values in an array based on a value), and so on.

Django: This is a library for creating web applications. It has special functions for data manipulation like sorting, joining two or more lists together, slicing/manipulating arrays, and so on.

Pandas: This is a library for data manipulation. It has special functions for data processing like data conversion (convert an array to another type), reshape operation (truncate an array to a specific shape ), and so on.

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