Best Ways to Learn Python in 2021 (Free and Paid Python Tutorials)
Python's popularity continues to grow, primarily due to its use in emerging technologies such as data science, machine learning, and artificial intelligence. It is also storming software development because of its efficiency, versatility, and ease of learning.
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Currently, Python is the second most used programming language on GitHub after JavaScript. If you are a complete beginner and want to learn Python, or if you already have coding experience and want to improve your skills for better job prospects, this article is for you.
We've curated a list of the best Python tutorials, including both free and paid resources.
What is Python?
Python is an open source and high-level programming language designed by Guido van Rossum. Released in 1991, the programming language's design philosophy is aimed at code readability, making it one of the easiest languages to learn.
Python is also an object-oriented, reflective, functional, procedural and structural language. All of these Python approaches help programmers write logical and clear code for projects of all sizes.
There are currently three major versions of Python, with Python 3 being the latest version. It also supports a wide range of libraries to simplify code writing.
Characteristic
Here are the features of Python:
Open Source and Free: Python is open source and you can download the code for free, use it in your projects and modify it.
Easy to learn: Python is becoming popular because it is easier to learn than other languages. Simpler syntax uses less complex plain English. So it is developer friendly and easy to code.
Extensive Libraries: Python's standard library is extensive with rich modules and features to help you complete projects faster, rather than writing code from scratch. You'll find reusable code for processes like image manipulation, unit testing, CGI, and more. Examples include Django, Flask, NumPy, and SciPy.
Extensible: Python is highly extensible with various modules to extend its core functionality. For example, you can add a programmable interface to an existing application.
Object Oriented: Python uses object-oriented programming concepts such as objects, classes, inheritance, data encapsulation, etc.
Easy to interpret and debug: Python executes code linearly just like Java, C, and C++. This eliminates compilation and makes debugging easier.
Typing dynamically: specifying the type of a variable like char, int, double, etc. is not required in Python because it is determined during code execution time, not at startup time. As a result, it makes programming simpler and reduces many lines of code.
Portable: Python uses portable code. So you can use the same code on different platforms like Windows, macOS, Unix or Linux.
Did you know that Python is the second most used programming language after JavaScript?
Where is Python used?
Python is a versatile programming language. You can use Python for a variety of purposes, including:
Web Development: Efficiency, speed, and other positive aspects make Python excellent for web development. Extensive libraries like Django and Flask are available, making the process much easier to manage. Some popular companies that use for this purpose include Instagram, Reddit, Uber, and Spotify.
Software development: You can use Python to create software programs and applications that run on devices. Many Python packages such as NumPy, Tkinter, SciPy, etc. simplify the software development process. You can also develop complex apps using scientific and numerical computing. Some of the big companies that use it for software development include Dropbox, PyChess, BitTorrent, and Gramps.
Machine Learning and Artificial Intelligence: From search engines and social media to chatbots and virtual assistants, algorithms are ubiquitous and powered by machine learning and artificial intelligence. Proprietary libraries in Python such as SciPy, Seaborn, TensorFlow, NumPy, Pandas, etc. serve this purpose.
Data Science: Python is used extensively in data science. There are many related libraries and frameworks, such as PyBrain, Bottle, Flask, web3py, etc., which are useful for visualizing and analyzing large amounts of data and other purposes in data science. It also helps with web scraping, which is very essential in today's businesses.
Desktop GUI creation: Due to Python's modular structure, it works on a variety of operating systems and allows you to build desktop GUIs using efficient frameworks, modules, or text processors such as PyGUI, PyGtk, PyQt4, PyQt5, etc.
Game development: You can develop games using Python libraries such as PySoy (Python-based 3D game engine). Games developed using Python include Disney's Toontown Online, Battlefield 2, and Frets on Fire.
4 Benefits of Learning Python
Learning Python has several benefits for your career prospects. Let's find out the answer to the question "Why learn Python?"
1. Efficiency of development
Not only is Python easy to learn and code, it also accelerates the entire development process. There is a wide range of frameworks, packages, libraries, and modules that don't require you to do everything from scratch.
It also takes advantage of reusable code to reliably write code faster. It automates standard processes and saves you time to focus on the logic and other important aspects of web and software development.
2. Very versatile features
Python is a very versatile language, which is one of the reasons for its popularity and usability. From small projects to large projects, Python works with the same efficiency. In addition to the uses mentioned above, developers use it for deep learning, data engineering, process automation, Internet of Things (IoT), and more.
This may be because there are many different features, methods, frameworks, and libraries that support them. And Python's readability, popularity, and usefulness have encouraged more libraries, making the language more user-friendly.
3. Demand for Python Developers
The demand for Python developers is growing in the market due to their popularity and use in emerging technologies. Used in business services, insurance, aerospace, retail, banking, finance, information technology, consulting, healthcare and hardware.
Top companies using Python are Google, NASA, YouTube, Quora, IBM, HP, Qualcomm, and Dropbox. They also frequently hire Python developers.
The average salary for a Python developer in the US in 2021 is $110,840 per year. So learning Python can be rewarding for your career.
4. Support Community
Official Python documentation is available, but it can sometimes get stuck, especially if you're a beginner. This is where the supporting community can help. Fortunately, Python has a large community of developers who can help if you have any doubts or questions.
You can explore the language by finding online forums such as Stack Overflow, open source communities, and local gatherings. There are also many Python-only courses, tutorials, websites, and other resources (some of which are discussed in this article).
How to learn Python step by step
Even if you have the best Python tutorials, you may not get the full value if you don't know the best way to learn Python. This is why we are talking about the step-by-step process of learning Python.
Step 1: Think about why you want to learn Python
Before you start doing something, figure out why you want to do it. The same goes for learning Python. You should have some goals to keep you motivated through this journey. Otherwise, it can be painful to go through.
Whether you want to improve your skills, pursue a career as a Python developer, or find out why you are interested in Python. It can be data science, ML, AI, building websites, apps and games, scripting tasks automation, data analysis, web scraping, and more.
Once you have set your goals, proceed to the next step.
Step 2: Understand the Basics
Clearly understand the Python basics without any doubt. Learn basic programming language aspects such as syntax, variables, data types, functions, and more. The Python resources mentioned in this article will help you with this step.
But just sticking with the theory can get boring. The key here is to practice and take a break in between.
Write simple code on your own or through the examples provided in your chosen Python tutorial. Once the basics are done, you can move on to the advanced topics.
Step 3: Apply the knowledge to the project
When you have the basics, complete projects to implement your knowledge. Projects will help you unlock your potential and learn more while building a portfolio that will display potential employers.
Create structured projects for data science, ML, websites, mobile apps, games, automation scripts, and more. For example, Python, automating tedious tasks with Python.
After completing the advanced topics, you will work on your own project. Use available resources, but do whatever you want with Python.
By this time, you should have learned how to find and debug errors. You can extend previous projects, find open source platforms to contribute, volunteer for non-profit organizations, contribute to GitHub, and more.
Step 4: Collaborate with others
Working with other learners and experts will help you expand your knowledge, discuss topics, and learn tips and tricks to apply to your projects. You can meet them in various Python communities, forums, meetings, and events. Some examples include Stack Overflow, Python.org, Reddit, and Soloearn.
Step 5: Keep Practicing
Learning is a continuous process. So, after completing all the steps, always keep practicing what you have learned. You can join the game as a full-time Python developer or part-time hobbyist, creating Python projects in a variety of industries.
Top 25 Free Tools and Resources for Learning Python
1. Python.org
2. Codex Academy
3. Woody Me
4 Cussera
5. Learnpython.org
6. Pre-Code Camp
7. Data Camp
8. Edex
9. Google's Python Classes
10. LinkedIn
11. Microsoft
12. Simple to learn
13. Get to Know Solo
14. Tutorial Points
15. W3 School
16. Programming with Mosh
17. CS Dojo
18. Clever Programmer
19. Python Spot
20. Study Tonight
21. Full Stack Python
22. Inventing with Python
23. The Hitchhiker's Guide to Python
24. Python for You and Me
25. Tell Me Python
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