Learn Python : Best Way to Learn Python in 2022 (Free and Paid Python Tutorials)

Python’s popularity is constantly increasing, mainly due to its use in emerging technologies such as data science, machine learning, and artificial intelligence.

Learn Python : Best Way to Learn Python in 2022 (Free and Paid Python Tutorials)

Python’s popularity is constantly increasing, mainly due to its use in emerging technologies such as data science, machine learning, and artificial intelligence. It’s also taken software development by storm with its efficiency, versatility, and ease of learning. 

Python is currently the second most popular programming language on GitHub (after JavaScript). This post is for you if you want to learn Python from scratch or if you have some coding experience and want to advance your skills for better professional chances.  

Features

Python’s features are:

  • Open source and free: Python is open source, and you can download its code for free to use and modify it for your projects.
  • Easy to learn: Python is becoming popular because it’s easy to learn compared to other languages. Its simpler syntax uses plain English with less complexity. Hence, it’s developer-friendly and easy to code.
  • Extensive libraries: Python’s standard library is extensive with rich modules and functions that help you complete your projects faster instead of writing code from scratch. You can 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 different modules to extend the 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, and more.
  • Interpreted and easy to debug: Python executes code linearly, like Java, C, and C++. This way, there’s no need for compilation, and debugging becomes easy.
  • Dynamically-typed: Specifying a variable type such as char, int, double, etc., is not needed in Python as it’s decided during code run time rather than at the start. 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 across different platforms like Windows, macOS, Unix, or Linux.

Why Should You Learn Python?

Python is one of the most popular and in-demand programming languages in the world, and it’s here to stay.

But what’s the best way to learn Python?

That can be difficult and painful to figure out. Unfortunately, I know this from experience.

A little over a decade ago, I was just a college graduate with a history degree. I then became a machine learning engineer, data science consultant, and now CEO of Dataquest.

However, my journey to learn Python was long, inefficient, and frequently discouraging.

If I could do everything over, I would follow the steps I’m going to share with you in this article. It would have fast-tracked my career, saved me thousands of hours, and prevented a lot of stress.

I created this guide to help people who are in the same position I was in. It’s also why I founded Dataquest. Our interactive Python courses can take you from complete beginniner to job-ready using actual code in months.

However, courses aren’t enough. You need to know how to think, study, plan, and execute effectively if you want to learn Python. This guide contains everything you need to know.

Benefits of Learning Python

Learning Python has several advantages for your career prospects. Let’s find out the answer to the question, “Why learn Python”?

1.Efficient in Development

Python speeds up the entire development process and is simple to understand and use as code. It contains a broad variety of frameworks, packages, libraries, and modules so you don't have to start from scratch with everything.

You can also utilize reusable code to write the code faster with stability. It helps you automate standard processes and save time to focus on the logic and other vital aspects of web and software development.

2. Extremely Versatile

Python is a highly versatile language, which is one of the reasons behind its popularity and high usability. From small- to large-scale projects, Python works with the same efficiency. Apart from the uses mentioned above, developers use it for deep learning, data engineering, process automation, the Internet of Things (IoT), and more.

That said, its versatility could be due to the massive number of functions, methods, frameworks, and libraries it supports. And Python’s readability, popularity, and usability have further encouraged many more libraries, making the language more user-friendly.

3. Demand for Python Developers

The demand for Python developers is increasing in the market with its popularity and usage in emerging technologies. It finds use in business services, insurance, aerospace, retail, banking, finance, info-tech, consulting, healthcare, and hardware, just to name a few.

The top companies using Python are Google, NASA, YouTube, Quora, IBM, HP, Qualcomm, and Dropbox. And they also hire Python developers frequently.

In 2021, the average salary of Python developers in the US is $110,840 annually. So, learning Python can be rewarding for your career.

4. Supportive Community

Even though there is official Python documentation accessible, if you are a beginner you may occasionally run into problems. A helpful community can be of use to you right now. Fortunately, Python has a sizable developer community you may consult if you have any queries or concerns.

How to Learn Python (Step-By-Step) ?

Step 1: Figure Out What Motivates You to Learn Python

Before you start, it’s worth asking yourself why you want to learn Python programming.

At times, your learning experience will be boring and monotonous. To successfully make it through those stages, you need to anchor yourself by focusing on things you’re highly interested in.

As a beginner, I struggled to keep myself awake when trying to memorize syntax. However, when I needed to apply Python fundamentals to build an interesting project, I happily stayed up nights to finish it.

To get started, find one or two areas that interest you. Some projects that you might find interesting are:

  • Data science / Machine learning
  • Mobile apps
  • Websites
  • Computer science
  • Games
  • Data processing and analysis
  • Hardware / Sensors / Robots
  • Scripts to automate your work

Yes, you can make robots using the Python programming language! From the Raspberry Pi Cookbook.

Step 2: Learn the Basic Syntax

Unfortunately, this step can’t be skipped. But you can spend the minimum amount of time on this, as it isn’t very motivating.

Here are some good resources to help you learn the Python basics:

I can’t emphasize this enough: Only spend the minimum amount of time possible on syntax.

The sooner you can get to work on projects, the faster you will learn. You can always refer back to the syntax when you get stuck later. Ideally, you will spend a couple of weeks on this phase, but no more than a month.

Quick note: Learn Python 3, not Python 2. Unfortunately a lot of “learn Python” resources online still teach Python 2, but you should definitely learn Python 3. Python 2 is no longer supported, so bugs and security holes will not be fixed!

Step 3: Make Structured Projects

Once you’ve learned the basic Python syntax, start doing projects on your own. Until you apply your knowledge, it will be hard to remember everything you’ve learned.

Projects will stretch your capabilities, help you learn new Python concepts, and it will help you build a portfolio to showcase your abilities to potential employers.

It’s better to begin with structured projects until you feel comfortable enough to make projects on your own. Here at Dataquest, virtually all of our Python courses contain structured projects to help you apply what you’ve learned.

Some additional recommended resources for structured projects are:

Data science / Machine learning

  • Dataquest — Teaches you Python and data science interactively. You analyze a series of interesting datasets ranging from CIA documents to NBA player stats. You eventually build complex algorithms, including neural networks and decision trees.
  • Python for Data Analysis — written by the author of a major Python data analysis library, it’s a good introduction to analyzing data in Python.
  • Scikit-learn documentation — Scikit-learn is the main Python machine learning library. It has some great documentation and tutorials.
  • CS109 — this is a Harvard class that teaches Python for data science. They have some of their projects and other materials online.

Mobile Apps

  • Kivy guide — Kivy is a tool that lets you make mobile apps with Python. They have a guide on how to get started.

Websites

Games

An example of a game you can make with Pygame. This is Barbie Seahorse Adventures 1.0, by Phil Hassey.

Hardware / Sensors / Robots

Scripts to Automate Your Work

Once you’ve done a few structured projects in your own area, you should be able to move into working on your own projects. But, before you do, it’s important to spend some time learning how to solve problems.

Step 4: Work on Python Projects on Your Own

After you’ve worked through a few structured projects, you will learn Python faster if you can start to work on your own projects on things you find interesting.

Remember to start with a small project, though. It’s better to start a small project that you finish rather than a huge project that never gets done.

Sometimes it can feel daunting to find a good Python project to work on. Here are some tips to finding some interesting projects:

  • Extend the projects you were working on previously, and add more functionality.
  • Check out our list of Python projects for beginners.
  • Go to Python meetups in your area, and find people who are working on interesting projects.
  • Find open source packages to contribute to.
  • See if any local nonprofits are looking for volunteer developers.
  • Find projects other people have made, and see if you can extend or adapt them. Github is a good place to find these.
  • Browse through other people’s blog posts to find interesting project ideas.
  • Think of tools that would make your every day life easier, and build them.

Some additional ideas to spark your imagination:

Data Science / Machine Learning Project Ideas

  • A map that visualizes election polling by state.
  • An algorithm that predicts the weather where you live.
  • A tool that predicts the stock market.
  • An algorithm that automatically summarizes news articles.

You could make a more interactive version of this map. From RealClearPolitics.

Mobile App Project Ideas

  • An app to track how far you walk every day.
  • An app that sends you weather notifications.
  • A realtime location-based chat.

Website Project Ideas

  • A site that helps you plan your weekly meals.
  • A site that allows users to review video games.
  • A notetaking platform.

Python Game Project Ideas

  • A location-based mobile game, where you capture territory.
  • A game where you program to solve puzzles.

Hardware / Sensors / Robots Project Ideas

  • Sensors that monitor your home temperature and let you monitor your house remotely.
  • A smarter alarm clock.
  • A self-driving robot that detects obstacles.

Work Automation Project Ideas

  • A script to automate data entry.
  • A tool to scrape data from the web.

My first project on my own was adapting my automated essay scoring algorithm from R to Python. It didn’t end up looking pretty, but it gave me a sense of accomplishment and started me on the road to building my skills.

The key is to pick something and do it. If you get too hung up on picking the perfect project, there’s a risk that you’ll never make one.

As you build your project, you will encounter problems and errors with your code — it’s inevitable. Don’t let it discourage you. There are a number of resources that can help you, including:

  • StackOverflow — a community question and answer site where people discuss programming issues. You can find Python-specific questions here.
  • Google — the most commonly used tool of every experienced programmer. Very useful when trying to resolve errors. Here’s an example.
  • Python documentation — a good place to find reference material on Python.

Step 5: Keep working on harder projects

Keep increasing the difficulty and scope of your projects. If you’re completely comfortable with what you’re building, it means it’s time to try something harder.

Continue to find new projects that challenge your skills and push you to grow even more.

Here are some ideas for when that time comes:

  • Try teaching a novice how to build a project you made.
  • Can you scale up your tool? Can it work with more data, or can it handle more traffic?
  • Can you make your program run faster?
  • Can you make your tool useful for more people?
  • How would you commercialize what you’ve made?  

Tips For Learning Fast

Tip #1: Code Everyday

Being consistent is crucial when learning a new language. Making a daily commitment to code is something we advise. Although it can be hard to imagine, programming heavily relies on muscle memory. Choosing to code every day will significantly aid in creating that muscle memory. Even though it could initially feel overwhelming, think about beginning with just 25 minutes a day and building up from there.

Tip #2: Write It Out

As you progress on your journey as a new programmer, you may wonder if you should be taking notes. Yes, you should! In fact, research suggests that taking notes by hand is most beneficial for long-term retention. This will be especially beneficial for those working towards the goal of becoming a full-time developer, as many interviews will involve writing code on a whiteboard.

Once you begin working on smaller projects and programs, planning your code by hand can also be helpful before switching to the computer. If you list the functions and classes you'll need, along with their interactions, you can save a ton of time.

Tip #3: Take Breaks

When you are learning, it is important to step away and absorb the concepts. The Pomodoro Technique is widely used and can help: you work for 25 minutes, take a short break, and then repeat the process. Taking breaks is critical to having an effective study session, particularly when you are taking in a lot of new information.

Breaks are especially important when you are debugging. If you hit a bug and can’t quite figure out what is going wrong, take a break. Step away from your computer, go for a walk, or chat with a friend.

In programming, your code must follow the rules of a language and logic exactly, so even missing a quotation mark will break everything. Fresh eyes make a big difference.

Tip #4: Become a Bug Bounty Hunter

Speaking of hitting a bug, it is inevitable once you start writing complex programs that you will run into bugs in your code. It happens to all of us! Don’t let bugs frustrate you. Instead, embrace these moments with pride and think of yourself as a bug bounty hunter.

When debugging, it is important to have a methodological approach to help you find where things are breaking down. Going through your code in the order in which it is executed and making sure each part works is a great way to do this.

Once you have a general notion of where things might be failing, run your script by adding the following line of code: import pdb; pdb.set trace(). This will put you in interactive mode and launch the Python debugger. With python -m pdb, the debugger can also be launched from the command line.

Make It Collaborative

Once things start to stick, expedite your learning through collaboration. Here are some strategies to help you get the most out of working with others.

Tip #5: Surround Yourself With Others Who Are Learning

Coding may seem like a solitary activity, yet teamwork is essential for success. It is crucial that you surround yourself with others who are also studying Python when you are doing so since this will help you succeed. This will let you impart the knowledge and advice you pick up along the route.

Don’t worry if you don’t know anyone. There are plenty of ways to meet others who are passionate about learning Python! Find local events or Meetups or join PythonistaCafe, a peer-to-peer learning community for Python enthusiasts like you!

Tip #6: Teach

It is said that the best way to learn something is to teach it. This is true when you are learning Python. There are many ways to do this: whiteboarding with other Python lovers, writing blog posts explaining newly learned concepts, recording videos in which you explain something you learned, or simply talking to yourself at your computer. Each of these strategies will solidify your understanding as well as expose any gaps in your understanding.

Tip #7: Pair Program

Pair programming is a technique that involves two developers working at one workstation to complete a task. The two developers switch between being the “driver” and the “navigator.” The “driver” writes the code, while the “navigator” helps guide the problem solving and reviews the code as it is written. Switch frequently to get the benefit of both sides.

Pair programming has many benefits: it gives you a chance to not only have someone review your code, but also see how someone else might be thinking about a problem. Being exposed to multiple ideas and ways of thinking will help you in problem solving when you got back to coding on your own.

Tip #8: Ask “GOOD” Questions

People always say there is no such thing as a bad question, but when it comes to programming, it is possible to ask a question badly. When you are asking for help from someone who has little or no context on the problem you are trying to solve, its best to ask GOOD questions by following this acronym:

  • G: Give context on what you are trying to do, clearly describing the problem.
  • O: Outline the things you have already tried to fix the issue.
  • O: Offer your best guess as to what the problem might be. This helps the person who is helping you to not only know what you are thinking, but also know that you have done some thinking on your own.
  • D: Demo what is happening. Include the code, a traceback error message, and an explanation of the steps you executed that resulted in the error. This way, the person helping does not have to try to recreate the issue.

Good questions can save a lot of time. Skipping any of these steps can result in back-and-forth conversations that can cause conflict. As a beginner, you want to make sure you ask good questions so that you practice communicating your thought process, and so that people who help you will be happy to continue helping you.

Make Something

Most, if not all, Python developers you speak to will tell you that in order to learn Python, you must learn by doing. Doing exercises can only take you so far: you learn the most by building.

Tip #9: Build Something, Anything

You may truly build the muscle memory we mentioned earlier and gain confidence with Python for beginners by doing a lot of tiny workouts. It's time to start constructing once you have a firm understanding of object-oriented programming, writing classes, and fundamental data structures (strings, lists, dictionaries, and sets).

What you build is not as important as how you build it. The journey of building is truly what will teach you the most. You can only learn so much from reading Real Python articles and courses. Most of your learning will come from using Python to build something. The problems you will solve will teach you a lot.

There are many lists out there with ideas for beginner Python projects. Here are some ideas to get you started:

  • Number guessing game
  • Simple calculator app
  • Dice roll simulator
  • Bitcoin Price Notification Service

If you find it difficult to come up with Python practice projects to work on, watch this video. It lays out a strategy you can use to generate thousands of project ideas whenever you feel stuck.

Tip #10: Contribute to Open Source

Software source code is made available to the public and is open to collaboration in the open-source paradigm. There are numerous open-source Python libraries that welcome contributions. In addition, lots of businesses release open-source projects. This implies that you can use code created and produced by the engineers employed by these businesses.

Contributing to an open-source Python project is a great way to create extremely valuable learning experiences. Let’s say you decide to submit a bug fix request: you submit a “pull request” for your fix to be patched into the code.

Best 10 Free Tools and Resources to Learn Python

Our top 10 choices for free Python resources are:

1. Python.org

Python.org
Python.org

If you are searching for a free resource to learn Python, check out the official Python documentation on Python.org. It’s helpful for beginners and experienced developers as it covers a wide range of topics from basic to advanced, all about Python programming.

  • It provides a brief explanation of Python for beginners.
  • It demonstrates how to install Python, IDE, and interpreters. You can read tutorials and experiment with the Python interpreter.
  • Python.org provides a comprehensive guide with advanced topics for Python developers, from installing dependencies to style guides, writing the code, issue tracking, troubleshooting, continuous integration and testing, and much more.

Features

  • Course type: Text-based
  • Prerequisites: None
  • Certificate: No
  • Tutorials are translated into 81 languages to help non-native English speakers learn Python more efficiently.
  • Showcases a complete list of pages included in the Beginner’s Guide that you can download and read
  • It makes learning fun with multiple exercises and quizzes. It also checks your Python style with dynamic score calculation and hints.
  • Offers other references to learn Python, including Codecademy, DataCamp, Dataquest, etc.

Apart from tutorials and guides, you can access Python-related podcasts, informational videos, latest events and news, developer community, success stories, FAQs, and so on.

2. Codecademy

Codecademy
Codecademy

One of the best places on the internet to learn Python for free is Codecademy. This e-learning platform offers lots of courses in Python, both free and paid. Python 2 is a free course they provide, which is a helpful introduction to basic programming concepts and Python.

They begin with theory and then ask learners to write Python code online utilizing the concepts. The course has been undertaken by employees at NASA, IBM, Google, Facebook, and others.

Some of the topics they cover are:

  • Python syntax
  • Python string and console output
  • How to use control and conditional flow to write programs
  • Python functions, loops, dictionaries, and data structure lists

The best thing about this course is that all the exercises and lessons run directly on your browser; hence, there is no need to install Python on your computer.

Codecademy also provides a code editor for free that you can practice while writing code. You can even join a forum to interact and discuss with other members.

Features

  • Course type: Video-based
  • Duration to complete: 25 hours
  • Certificate: You can earn certification after course completion with the PRO membership
  • Prerequisites: None

3. Udemy

Udemy
Udemy

Udemy has an extensive collection of courses on a variety of subjects, including Python. They offer both free and paid lessons suitable for beginners to experts. If you are looking for video-based tutorials, Udemy is among the best places.

Their free Introduction to Python Programming course is an easy and quick introduction to the Python programming language. This tutorial is available in English and begins with topics like:

  • Python basics, strings, data types, and variables
  • Loops, conditions, functions, and file manipulations
  • Writing Python scripts and functions

Some features of the course include:

  • Course-type: Video-based
  • Duration: 1 hour 39 minutes, on-demand video
  • Students enrolled: 619,075
  • Ratings: 4.4
  • Prerequisites: None
  • Certificate: No

Udemy’s Python from Beginner to Intermediate in 30 minutes course prepares you for advanced Python concepts. It includes a series of tutorials and lectures on Python programming, and you’ll learn how to code from scratch and install Python.

Entrepreneurs, students, or anyone interested in learning Python can take this course. Here, they teach you:

  • Python basics
  • Functions, modules, strings in Python
  • Slicing, sequences, conditional, and loop statements
  • File handling and object-oriented programming

Some features of the course include:

  • Course type: Video-based
  • Duration: 1 hour 32 minutes, on-demand video
  • Ratings: 4.2
  • Students enrolled: 92,015
  • Prerequisites: None
  • Certificate: No

As the name suggests, Udemy’s Python for Absolute Beginners course is best for people who have absolutely no idea about Python or any other programming language for that matter. The instructors teach how to code in Python 3, coverings these topics:

  • Python installation
  • How to run Python scripts and set up PyCharm IDE
  • Variables, numbers, strings, lists, dictionaries, and boolean operators
  • Modules, function, loops, arguments, and return values
  • How to develop a calculator app leveraging Python
  • Final project

Some features of the course include:

  • Course type: Video-based
  • Duration: 2 hours 16 minutes, on-demand video
  • Ratings: 4.5
  • Students enrolled: 75,783
  • Certificate: No
  • Prerequisites: Downloading Python 3 and PyCharm (both open source)

4. Coursera

Coursera
Coursera

Coursera is the platform where you can learn from various courses from the world’s top universities, including Yale, Stanford, University of Sydney, and many more. Coursera offers a free Python course: Python for Everybody Specialization by the University of Michigan.

This course will help you learn how to program in Python and analyze data. At the end of the course, you will develop Python programs by yourself and collect, clean, visualize, and analyze data using it.

English, Spanish, Russian, Arabic, Italian, French, German, Turkish, Portuguese, Vietnamese, Korean, and Simplified Chinese are among the 12 languages that have additional subtitles. You must successfully complete a hands-on project in each specialization course in order to receive the certificate.

The course covers these topics:

  • Python installation and writing programs
  • Python basics
  • How to use variables to store, calculate, retrieve data
  • How to utilize core programming aspects like loops and functions
  • Skills like data structure, basic programming languages, DBMS, web scraping, SQL, Tuple, Python semantics and syntax, and more

Features

  • Course type: Video-based
  • Duration: Approximately 8 months
  • Ratings: 4.8
  • Students enrolled: 1,056,382
  • Certification: Yes, shareable on LinkedIn, professional networks, and with employers
  • Prerequisites: None

5. Learnpython.org

Learnpython.org
Learnpython.org

If you are looking for a text-based resource to learn Python, Learnpython.org is a good option. It is an interactive tutorial, which is helpful for everyone whether you are experienced or not. You can also join their Facebook group for discussions, updates, and questions.

The tutorial includes topics such as:

  • Variables and their types, lists, operators, conditions, loops, functions, lists, string formatting, string operations, objects and classes, packages and modules, and dictionaries
  • Data science lessons include Pandas basics and Numpy arrays
  • Advanced tutorials such as generators, sets, list comprehensions, function arguments, exceptional handling, regular expressions, serialization, code introspection, partial functions, closures, filters, maps, and Reduce

Features

  • Course type: Text-based
  • Students enrolled: 575,000
  • Prerequisites: None
  • Certification: You can go for certification at LearnX and showcase it on your LinkedIn profile

6. eDx

eDx
eDx

Similar to Coursera, eDx is also an e-learning platform that provides online courses from top global universities. Currently, they have 3000+ courses available and tie-up with 160+ universities, including Harvard, MIT, Berkeley, and more.

Just hop on to edX’s website and search for the courses you need, and it will show all the relevant courses and programs available.

Let’s talk about some of the free Python courses they offer.

If you want to take your basic Python knowledge to the next level, Using Python for Research by Harvard University is the one for you. Offered by Harvard University, it will help you learn Python 3 and how you can utilize it for your research.

Here, you’ll learn:

  • Basics of Python 3 programming
  • Some Python tools such as SciPy and NumPy for research purposes
  • How to implement Python tools for research in practical scenarios

Features

  • Course type: Video-based
  • Duration: 12 weeks, 2-4 hours/week
  • Students enrolled: 284,309
  • Certificate: You can earn a Verified Certificate by paying $169.14
  • Course type: Self-paced based on your time
  • Language: English
  • Prerequisites: Some prior experience in Python programming

Other free courses available are:

  • Python Basics for Data Science by IBMThis course teaches about Python, its applications in Data Science, its basics, how to utilize Pandas for data analysis, and more. This self-paced course’s duration is 5 weeks, and you can add a certificate by paying $99.
  • Computing in Python I: Fundamentals and Procedural Programming by Georgia Tech helps you learn computing basics in Python, such as variables and operators, and you can also write and debug your program. It takes 5 weeks to complete, and you can add a certificate by paying $130.30.
  • Machine Learning with Python: A Practical Introduction: This introductory course helps you learn machine learning methods, algorithms, statistical modeling, and real-life examples of how MI affects society. It is a 5-week course by IBM, and you can add a certificate by paying $99.

7. Google’s Python Class

Google uses Python for many projects, including system building, ad minutes tools, code evaluation tools, APIs, and data analysis. As part of Google for Education, their Python Class is free and highly useful to people with basic programming skills.

This class includes lecture videos, text content, and code exercises to help you practice coding in Python. Here, you’ll learn:

  • Basic Python concepts such as lists and strings in the first exercises
  • Full program exercises involving text files, HTTP connections, and processes
  • How to install and setup Python

Features

  • Course type: Video-based
  • Duration: 2 days
  • Prerequisites: Basic programming skills
  • Certificate: No

You can also watch their video tutorials on YouTube directly.

 

8. CS DOJO

CS Dojo is a fantastic YouTube channel that offers a Python Tutorial for Absolute Beginners. It also has tutorials available for learners with intermediate-level Python skills.

All the lessons in the tutorial are explained in easy language with suitable examples. The instructor also gives some valuable tips that you can use to make the best out of this tutorial. In addition, you can also download sample files here. The topics covered in it are:

  • Introduction to Python and its usage
  • IDE and Jupyter Notebook
  • How to install Jupyter and Python
  • Variables and how to assign them
  • A practice problem and solution

Features

  • Tutorial type: Video-based
  • Duration: 24 minutes
  • Views: 6+ million
  • Channel subscribers: 1.68 million
  • Prerequisites: None

9. Clever Programmer

Another YouTube Python tutorial on the list is Clever Programmer by Qazi. This is also an excellent option if you are a complete beginner who wants to learn Python from scratch.

By far, he has uploaded 350+ videos on his channels, all dropping value bombs for learners. In addition, if you want to become a web developer, he offers a masterclass as well. The topics he covers in his tutorial — Python Tutorial for Beginners — are:

  • All the basic Python concepts
  • Casting, slicing, tuples, join and split, etc.
  • Dictionaries, mutability, Regex, and list comprehension
  • Web scraping and Zip functions
  • 4 projects: tic tac toe game, Twilio SMS application, to-do list application, and Craiglist clone
  • Python Freelancer Guide

Features

  • Tutorial type: Video-based
  • Duration: 11 hours
  • Views: 2+ million
  • Subscribers: 968,000+
  • Prerequisites: None

10. Pythonspot

Pythonspot is another helpful resource if you are looking for text-based Python resources for free. This website has a complete Python tutorial covering Python 2 and 3. It is suitable for both professional developers and beginners.

They have explained every concept in depth with practical examples to help you understand it easily. The topics included in it are:

  • Basic concepts of Python, OOPs concepts, recursive functions, factory method, Lambda, threading, graphs, modules, Binary numbers, Python debugging, etc.
  • Databases: Read/write files, flat database, SQLite, MySQL, and ORM
  • Web development: Python web development, JSON encoding & decoding, Flask, and Django
  • GUI: PyQt4, PyQt5, wxPython, and Tkinter
  • Network: HTTP, FTP, POP3, link extraction, and more
  • Advanced: Matplotlib, regular expression, creating Quantum Computing apps, Chrome plugins, speech engines, and fun tricks using Python
  • More tutorials on Android, computer vision, robotics, and creating games with Python

Features

  • Course type: Text-based
  • Prerequisites: None
  • Certificate: No 

Best 10 Paid Tools and Resources to Learn Python

So far, we’ve seen free online courses on Python. But if you’re a serious developer or want to build a solid career as a Python developer, you might choose to take up some of the paid courses available.

Here we go!

1.Udemy

Udemy
Udemy

Along with free Python courses, Udemy offers a handful of paid courses as well, and it’s probably one of the best places to learn Python online. Their paid courses are available for beginners to expert developers.

Here, you get advanced-level study apart from basic Python concepts. Some of the best paid Python courses available on Udemy are:

1. 2021 Complete Python Bootcamp from Zero to Hero in Python

This course is designed to help you learn Python from scratch and go to advanced levels to create games and applications. The course is comprehensive and straightforward on Python 3 and is suitable for people who have never programmed before, have some basic knowledge, or want to gain advanced-level skills in Python.

The course content is divided into 23 sections and 155 lectures. It covers the following topics:

  • Python basics and course FAQs
  • Python setup, objects, and basics of data structure
  • Comparison operators, statements, functions, and models
  • OOP, package and modules, exceptions, and error handling
  • Decorators, generators, advanced modules,
  • Web scraping, emails, working with spreadsheets, images, PDFs, and CSV files
  • Bonus material: GUIs and Python 2
  • 2 Milestone projects and a final Capstone project on Python
Features
  • Course type Video-based
  • Duration: 22 hours 13 minutes
  • Students enrolled: 1,311,104
  • Ratings: 4.6/5 (368,004 ratings)
  • 14 articles and 19 coding exercises
  • Language: English, French, Spanish, Italian, German, Polish, and Portuguese
  • Prerequisites: Just a computer and internet connection
  • Lifetime access on TV and mobile
  • Certificate: Yes
  • Fee: $117.99, 30-day money-back guarantee

2. The Python Bible

Considered one of the best resources to learn Python, The Python Bible is something you can check out. It is designed for beginners in programming or Python, and people with basic Python skills can also leverage it.

They have interactively formulated the content to explain technical aspects, making learning fun and easy to grasp. The course content is divided into 11 sections and 74 lectures, including:

  • Course introduction
  • Python installation and getting started
  • Variables, numbers, strings, and conditional flow
  • Data structures, loops, functions, and OOP in Python
  • Resources
Features
  • Course type: Video-based
  • Duration: 9h 8min
  • Students enrolled: 117,563
  • Ratings: 4.6/5 (33,530 ratings)
  • 4 articles, 11 coding exercises, and 3 downloadable resources
  • Language: English, Spanish, and Portuguese
  • Prerequisites: Laptop/desktop with internet connection
  • Lifetime access on TV and mobile
  • Certificate: Yes
  • Fee: $165.85, a 30-day money-back guarantee

Honorable mentions: Apart from these two popular Python courses, Udemy has plenty of other useful and paid courses available. It includes Python for Data Science and ML Bootcamp, Learn Python Programming Masterclass, 100 Days of Code, and The Python Mega Course.

2. Codecademy

Codecademy
Codecademy

Codecademy has appeared once in our free Python resource above. That was for Python 2. But if you want to learn Python 3, Codecademy offers a paid course — Learn Python 3 — which you can take up by choosing their PRO membership plan.

This course introduces you to both basic Python and programming concepts in general. The current version, Python 3, has various improvements from Python 2 that increase the code’s simplicity and efficiency while writing.

It covers topics such as:

  • Python syntax and a “Hello World” program
  • How to create control flow, logical operators, and boolean variables
  • Lists, loops, functions, code challenges, strings, modules, and dictionaries
  • Automated file handling, classes, and arguments
  • Portfolio projects: Block letters, create receipts, and magic 8-ball game

Features

  • Course type: Video-based
  • Duration: 30 hours
  • Students: 45M+ Codecademy learners
  • It includes quizzes and articles in each section
  • Prerequisites: None, just your device and internet
  • Certificate: Yes
  • Fee: Monthly subscription costing around $20

3. eDx

eDx
eDx

As discussed before, eDx is a reputed online learning platform with ties to the world’s top universities. Apart from free courses, they also offer paid programs with professional certificates to increase your skills and career prospects.

Some of the best paid Python courses they offer are:

1. Introduction to Python Programing

This course is offered by Georgia Tech and is designed for anyone who wants to learn Python. It will take you from being a complete newbie to a proficient Python programmer.

This demanding course will provide you a solid base in Python and other computer science studies. It is designed uniquely, covering basic computer science principles to Python concepts.

You’ll access short videos with live programming exercises, multiple-choice questions, and real-world examples, in addition to receiving constant feedback from instructors on your understanding and progress.

The topics it covers are:

  • Programming fundamentals like writing codes, execution, interpreting results, etc.
  • Basics such as variables, operators, boolean arithmetic, etc.
  • Control structures, error handling, and Python libraries
  • Data structures and file manipulation
  • OOP skills and algorithms
Features
  • Course type: Video-based
  • Duration: 5 months, 9-10 hours/week, self-paced
  • 4 skill-building courses
  • Certification: Yes
  • Fee: $536

2. Python Data Science

If you want to pursue a career in data science, the Python Data Science course by IBM can be a wise option. No matter if you’re entirely new to this field or have already some experience, this course is going to help you upskill yourself.

It will prepare you to pursue a career in machine learning and data science. The course includes extensive lessons on each Python concept, data visualization and analysis, and a practical introduction to machine learning. In the end, you’ll get to complete a final capstone project with a real-life business problem.

This course aims at job readiness and hands-on learning, and you’ll work with datasets and use Python libraries and toolkits.

The topics this course covers are:

  • Python basics and their application on data science
  • Iterative concepts using tools like IBM cloud and Jupyter Notebooks
  • Analyzing data with tools like NumPy and Pandas
  • Creating data visualizations with Folium, Seaborn, and Matplotlib
  • Building ML models with Scipy and Scikit-learn
  • Solving real-life problems related to Data Science
Features
  • Course type: Video-based
  • Duration: 7 months, 3-5 hours/week, self-paced
  • 6 skill-building courses
  • Prerequisites: None
  • Certificate: Yes
  • Fee: $574

4. Coursera

Coursera offers lots of Python courses, and the Python 3 Programming Specialization course by the University of Michigan is one of the best among them. It will help you become a proficient Python programmer by teaching you basic and intermediate-level Python 3 concepts and exercises.

By the time this program completes, you’ll be able to write programs to query APIs and extract data, use new APIs, and modules by reading the Python documentation. This course will help you take your next step if you’ve already tackled Coursera’s Python for Everybody Specialization (as discussed in the free resources section).

The topics included in this course are:

  • How to understand and inspect APIs and third-party libraries suitable to use with Python 3
  • Application of imaging library in Python to view and manipulate images
  • Using Python tesseract library (py-tesseract) with Python 3, detecting images using Optical Character Recognition (OCR)
  • Using an open source library — OpenCV — for facial recognition in images and manipulate the faces and use it for contact sheets
  • Hands-on project to earn the course completion certificate

Features

  • Course type: Video-based
  • Duration: Approx. 5 months, 7 hours/week (suggested)
  • Ratings: 4.7/5 (12,777 ratings)
  • Students enrolled: 137,249
  • Subtitles: English, Arabic, Spanish, French, Italian, Russian, German, Korean, Vietnamese, and Portuguese
  • Prerequisites: No
  • Certificate: Yes, shareable
  • Fee: 7 days free trial and then $49/month

Apart from this, Coursera has other decent Python courses, such as:

  • Crash Course on Python by Google: This 32-hour course is for beginners and helps you understand Python and its importance in automation. It also guides you in creating Python objects.
  • Python for Data Science, AI, & Development by IBM: Enrolled by 300,000+ students, this 17-hours course helps you learn Python for web development, data science, and artificial intelligence.

5. One Month

One Month
One Month

Learn Python by One Month is a best-selling Python course online that you can complete in 30 days. If you’re a beginner, this is one of the best Python courses you can go for, as it is designed especially for newbies.

It has essential ingredients to help you learn Python coding:

  • Bite-sized content
  • Weekly goals
  • Hands-on projects

Their Learn Python course curriculum is also taught at the prestigious Columbia Business School. Additionally, they have refined their lessons with feedback from MBA students and business leaders in the past 3 years.

The topics include:

  • Python basics and intermediate-level concepts
  • How to write scripts in Python
  • Working with Python frameworks such as Flask
  • How to extract data from APIs
  • How to build a website with Python

Features

  • Course type: Video tutorial
  • Duration: 30 days
  • 6+ hours of step-wise video tutorials
  • Real-world based Python projects
  • Prerequisites: None
  • Certificate: Yes
  • Fee: $299 annual membership, 100% money-back guarantee if not satisfied

Another appreciable thing about One Month is that they provide a combination of video lectures and discussions between learners and instructors. You can interact with other learners via a Slack channel.

6. Learn Python the Hard Way

If you’re a book-lover with a desire to learn Python, Learn Python the Hard Way by Zed Shaw is all you need. In this fantastic book to educate Python to beginners, the author has simplified the way of learning Python so you can move from level zero to a higher-level Python programmer smoothly.

The course content is divided into 52 brilliant exercises to help you learn how Python works, write code, correct your mistakes, and tips and tricks to improve your skills. It covers topics that include:

  • Installing a Python environment
  • Writing and organizing code
  • Basic mathematics, variables, strings, file handling, logic, and looping
  • Data structure and program design
  • OOP, classes, objects, and modules
  • Python packaging, automated testing, and debugging
  • Basic web and game development

This book has a DVD with 5+ hours of videos where Zed Shaw discusses different aspects of the book to help you even more.

Features

7. Udacity

Udacity
Udacity

Another online learning platform offering Python courses is Udacity. Their Learn Immediate Python course is a part of their nano degree program that comprises miniature courses in various programming languages.

This course helps you gain practitioner-level Python skills and learn to implement machine learning, data science, and more.

This course is excellent for people who want to learn advanced-level Python. It equips the learners to utilize the features and capabilities that Python provides and streamline app functionalities that perform complex tasks like classifying files, web scraping, and more.

After you complete the program, you’ll achieve a portfolio demonstrating your Python skills so you can apply to relevant jobs.

The topics covered are:

  • Advanced Python lessons like methods, functions, problem-solving strategies, object-based design, class and objects, creating codebases, and fusing Python with external documents
  • How to write, extend, and structure codes to support the development of large systems
  • How to utilize open source libraries to add advanced functionalities quickly and package the code into your libraries
  • How to apply object-oriented programming to keep your code modular, understandable, and clear

Features

  • Course type: Video-based
  • Duration: 2 months, 10 hours/week
  • Prerequisites: Basic knowledge of Python and object-oriented programming
  • Rating: 4.6/5
  • Includes real-world projects with immersive content from experts
  • Technical mentor support to guide you, answer your questions, and motivate you
  • Career support such as resume support, LinkedIn profile optimization, and GitHub portfolio review
  • Flexible learning plan based on your schedule
  • Unlimited feedback loops and submissions
  • Price: $530.58 for 2 months

8. PluralSight

PluralSight
PluralSight

If you want to implement the Python skills you have learned into real-world projects, you want PluralSight. They have a course to help you build your job board using Python and Flask (web framework).

This course is suitable for both beginners and intermediate-level programmers. They will guide you through every essential aspect of learning Python, including installing and configuring the build environment so you can complete the tasks conveniently.

The topics included in it are:

  • How to setup local environment and Flask
  • Styling and base template to provide a consistent view
  • Dynamic content preparation
  • Displaying individual jobs and all the jobs in the database
  • Showing employers individually with the listed jobs
  • Creating an Employer Review form for users to obtain feedback on a scale of 1 to 5

Features

  • Course type: Video
  • Duration: 2 hours 35 minutes
  • Rating: 4/5
  • Prerequisites: None
  • Certificate: NA
  • Fee: Contact their sales team, and there’s a 10-day free trial also

9. Simplilearn

Simplilearn
Simplilearn

Simplilearn is a hub of high-quality tutorials in various disciplines, including Python. Their Python Certification Course is a comprehensive tutorial that will educate you on Python basics, multiple operations, Django, shell scripting, and more.

In addition, you’ll undertake a hands-on project to complete in the end and prepare yourself for a successful career in Python programming. The course educates you on the applications of Python in the real world and comes with lots of modules, assignments, and projects.

This course covers the following topics:

  • Python basics and learning objectives
  • Data operators, functions, and conditional statements
  • File operations and error handling
  • Django and shell scripting
  • Unit test and logging infrastructure
  • Networking concepts
  • Live virtual class on the above first four topics

Features

  • Course type: Video
  • Duration: 38-hour blended learning, 30-hour instructor-led learning, and 8-hour self-paced learning online
  • 5 tests at each lesson’s end, 1 final project, and 20+ assisted practices for each module
  • Prerequisites: None
  • Certificate: Yes
  • Fee: $135.50 for self-paced and $243.95 for online Bootcamp, both lifetime access

10. Codingnomads

Codingnomads
Codingnomads

Want to build apps from scratch with APIs and SQL?

Learn Python Online by Codingnomads is yet another excellent option. Completing this course successfully also helps you make an exciting career in web development, AI, and Data Science.

The course includes topics such as:

  • Python use cases and basic concepts
  • Critical tools for programmers like GitHub, virtual environments, PyCharm IDE, and CLI
  • Python programming to build automation software
  • Introduction to SQL and databases and their integration with Python
  • How to integrate Python apps with RESTful APIs and leverage data sets in millions
  • A Capstone project

Features

  • Course type: Video-based
  • Duration: 200-hour curriculum and 9+ hours of video tutorials
  • 500+ pages of tutorials and documentation
  • 300+ lab exercises and code samples
  • 150+ custom demos and video tutorials
  • Member-only forum access to connect to instructors and students
  • Prerequisites: None
  • Certification: Yes
  • Fee: Multiple levels of monthly payment programs and a free trial 

Summary

Python is in high demand these days. And it’s expected to remain so in the future since it has wonderful capabilities for emerging technologies. But if you want to learn Python, set a goal first.

Whether you’re a complete beginner or already a bit experienced with programming languages, take up a suitable Python resource. It can be in the form of videos, text-based learning, books, podcasts, or blogs. You can also take a mixed approach, such as alternating taking up a video course and listening to your favorite Python podcast.

Choose a Python tutorial based on your goals, skill level, whether you want a certification, and, lastly, your budget. And after you’ve completed your Python course, keep implementing your skills in real-world projects to achieve your goals, and continue learning and experimenting.

Do you have any tips for learning Python? Share in the comments section!