Best Python courses & Best Python books in 2021

Best Python Courses 2021

 

Best Python Books 2021

Best Python tutorials 2021

Programming for Everybody (Getting Started with Python)

This University of Michigan Python Course taught by Charles Russell Severance course 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 pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this Best Python courses, they will be ready to take more advanced programming courses and start a python career. This course covers Python 3.

Crash Course on Python

This Google Python course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you’ll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming stuff fit together; and combine all of this knowledge to solve a complex programming problem.

Python 3 Programming Specialization

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.

By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.

This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python for data scientists.

But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

Learn Intermediate Python

Gain practitioner-level skills with Python and learn the language powering transformation in Data Science, Machine Learning, and beyond. Python is a general-purpose coding language with application domains in web development, data science, fintech and more. The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. By the end of the program, you’ll have a python developer portfolio that demonstrates your ability to apply practicioner-level Python skills on the job.

Applied Data Science with Python Specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order.

Python for Data Science, AI & Development

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

This course will take you from zero to programming in Python in a matter of hours! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.

By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.

This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs:

IBM Applied AI Professional Certificate

Applied Data Science Specialization

IBM Data Science Professional Certificate

Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.

2021 Complete Python Bootcamp: From Zero to Hero in Python3

Become a professional Python programmer with over 100 lectures and more than 20 hours of video content for learning Python. This makes it one of the most comprehensive python programming language courses. Well over 400,000 developers have taken this course. This python tutorial will help you in learning python from each other. You start with basics of python language and go all the way to advanced features and techniques. This interactive online training course will help you learn to use Python 2 and Python 3. Advanced Python features like collections module and timestamps are easy to understand.  Complex topics like Decorators and Generators are explained in great detail. Learn Python from the Best Python tutorial in 2021.

Python for Data Science and Machine Learning Bootcamp

This programming tutorials by Jose Portilla will help you to learn Data Science and Machine Learning with Python. You will use different python frameworks and python libraries such as NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, Tensorflow and more. This Python programming language tutorial will show you how to implement Machine Learning algorithms.  You will use SciKit-Learn. This tutorials will show you how use Matplotlib and Seaborn for data visualizations. Learn Spark for Big Data analysis. You will understand what Natural Language Processing is along with Spam Filters. K Nearest Neighbors and K Means Clustering is discussed. You will learn all about Neural Networks. This Data Science training will teach you how to support Vector Machines. Decision Trees and Random Forests are both explainedBest Python tutorial for Data Science in 2021.

The Python Mega Course: Build 10 Real World Applications

by Ardit Sulce teaches you building 10 applications. With well over 100,000 students, this among the most popular project based Python tutorials. Not only that, it is regularly updated to keep up with changes in learning Python programming language. You will be learning Python for websites, databases, web scraping, data science, web visualizations, image processing & more.

You will use learn frameworks and libraries to build these apps. Using Flask, you will build web applications. You will do data analysis and build interactive data visualizations with Pandas and Bokeh. Scarp data from websites with  Beautiful Soup. You will learn Smtplib for sending automated emails. Use Tkinter for building desktop applications. Do scientific computing with Numpy. Use Folium for building interactive web maps. Do batch geocoding of addresses with Geopy. Without question, this is one of the best project based Python tutorials.

Learn Python Programming Masterclass

by Tim Buchalka and Jean-Paul Roberts will help you in learning Python programming language fast. This course is aimed at complete beginners who have do not know any programming techniques. Programmers with any level of experience can learn from this great tutorial and increase their career and salary options. With 40 plus hours of video content and regular updates, this is an epic course. Between the two of them, Tim and Jean-Paul have a combined near 70 years of professional programming experience. You will start of with gaining a fundamental understanding of the python programming language. This course will give you the pre-requisite skills required to move into specific branches such as Machine Learning, Data Science, etc. You will learn how to create your own Python projects. Object-Oriented Programming (OOP) is also covered. By the end of this course, you’ll have the Python skills and understanding needed to apply for programming jobs.

Best Python books 2021

Python Crash Course, 2Nd Edition: A Hands-On, Project-Based Introduction To Programming

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Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
  • Book - python crash course, 2nd edition: a hands-on, project-based introduction to programming
  • Language: english
  • Binding: paperback
  • Matthes, Eric (Author)
  • English (Publication Language)

Python Crash Course by Eric Matthes is a fast-paced ride through the world of programming with Python. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online.

Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

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Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of...
  • Shaw, Zed (Author)
  • English (Publication Language)
  • 320 Pages - 06/27/2017 (Publication Date) - Addison-Wesley Professional (Publisher)

Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You will:

Install a complete Python environment
Organize and write code
Fix and break code
Basic mathematics
Variables
Strings and text
Interact with users
Work with files
Looping and logic
Data structures using lists and dictionaries
Program design
Object-oriented programming
Inheritance and composition
Modules, classes, and objects
Python packaging
Automated testing
Basic game development
Basic web development

Introducing Python: Modern Computing in Simple Packages

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Introducing Python: Modern Computing in Simple Packages
  • Lubanovic, Bill (Author)
  • English (Publication Language)
  • 630 Pages - 12/03/2019 (Publication Date) - O'Reilly Media (Publisher)

Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.

Head First Python: A Brain-Friendly Guide

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Head First Python: A Brain-Friendly Guide
  • O'Reilly Media
  • Barry, Paul (Author)
  • English (Publication Language)
  • 624 Pages - 12/13/2016 (Publication Date) - O'Reilly Media (Publisher)

Head First Python by Paul Barry is a friendly guide gets you started programming immediately while guiding you through Python’s core concepts. You’ll learn about topics like built-in data structures, control flow, functions, and classes, and all the important details of Python syntax. It takes a teaching approach that’s just as fun as it is effective, Head First Python gets you started programming with Python right away. And not just any Python—you’ll learn Python 3, the latest and most powerful version of the language. You’ll learn about fundamental programming concepts, like data types, functions, and classes. Then, you’ll see how thinking about code in a different way makes it much easier to create programs. By the time you finish this book, you’ll be able to read, write, and understand Python code—and start building programs of your own.

Python Programming: An Introduction to Computer Science

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Python Programming: An Introduction to Computer Science, 3rd Ed.
  • John Zelle (Author)
  • English (Publication Language)
  • 552 Pages - 08/08/2016 (Publication Date) - Franklin, Beedle & Associates (Publisher)

Python Programming – An Introduction to Computer Science by John Zelle is intended for the aspiring computer scientist. It continues the tradition of updating text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science stuff. A major change in this edition is the removal of most uses of eval and the addition of a discussion about its dangers. In our increasingly connected world, it’s never too early to start thinking about Computer security issues.

Fluent Python: Clear, Concise, and Effective Programming

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Fluent Python: Clear, Concise, and Effective Programming
  • O Reilly Media
  • Ramalho, Luciano (Author)
  • English (Publication Language)
  • 792 Pages - 09/01/2015 (Publication Date) - O'Reilly Media (Publisher)

by Luciano Ramalho is for programmers that are already familiar and comfortable with Python but what to reach the next level of proficiency. This hands-on guide teaches you how to write even better Python code by using often neglected features of Python. You will learn how to write better code by using Python features efficiently. Data structures, Functions as objects and meta-programming are some of the things. This is the best advanced Python book in 2021.

Python Cookbook: Recipes for Mastering Python 3

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Python Cookbook, Third Edition
  • O Reilly Media
  • Beazley, David (Author)
  • English (Publication Language)
  • 706 Pages - 06/11/2013 (Publication Date) - O'Reilly Media (Publisher)

by David Beazley and Brian K. Jones covers Python recipes that you can instantly cook up and use. Python Cookbook will help you learn practical Python recipes that cover a wide range of topics including data structures, algorithms, metaprogramming, etc. The recipes also come with detailed coding samples that tell you how and why to use them. You will learn testing and debugging. Python Cookbook is all about writing code that is more robust, cleaner and faster.

Learning Python

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Learning Python, 5th Edition
  • O'Reilly Media
  • Lutz, Mark (Author)
  • English (Publication Language)
  • 1648 Pages - 07/16/2013 (Publication Date) - O'Reilly Media (Publisher)

Learning Python by Mark Lutz is a best sellers Python programming book is packed with exercises, advanced topics, and even illustrations to give you the best education in Python knowledge. Features such as Python’s syntax and statements are explored.More advanced Python features such as decorators, metaclasses and descriptors are also taught. This is the best Python book for beginners in 2021.

Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners

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Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners
  • Book - automate the boring stuff with python, 2nd edition: practical programming for total beginners
  • Language: english
  • Binding: paperback
  • Sweigart, Al (Author)
  • English (Publication Language)

Automate the Boring Stuff with Python by Al Sweigart teaches you how to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the techniques in this book, you’ll be able to write programs that effortlessly perform useful tasks for you. Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks like email notification. Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. This is one of the best Python books for beginners in 2021

Python Essential Reference 4th Edition

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Python Essential Reference
  • Addison-Wesley Professional
  • Beazley, David (Author)
  • English (Publication Language)
  • 717 Pages - 07/09/2009 (Publication Date) - Addison-Wesley Professional (Publisher)

Python Essential Reference by David Beazley is the definitive reference for Python programmers who want to go beyond the language basics. Unlike other Python references, this book assumes that you are already fluent in Python programs and delves deeper into the language to show you how it works under the covers. It contains hundreds of useful code examples that illustrate key concepts and give practical solutions to common problems and interview questions.

Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
  • Manning Publications
  • Bhargava, Aditya (Author)
  • English (Publication Language)
  • 256 Pages - 05/01/2016 (Publication Date) - Manning (Publisher)

Grokking Algorithms by Aditya Bhargava is an easy-to-use, fully illustrated guide that teaches python developers how to apply common algorithms to the practical problems you face every day as a programmer. You’ll start with sorting algorithms and searching, and as you develop your algorithmic thinking skills, you’ll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code examples in Python.

Effective Python: 90 Specific Ways to Write Better Python

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Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development Series)
  • Slatkin, Brett (Author)
  • English (Publication Language)
  • 480 Pages - 11/15/2019 (Publication Date) - Addison-Wesley Professional (Publisher)

Effective Python 90 Specific Ways to Write Better Python by Brett Slatkin will help you learn best practices, tips, tricks and coding examples that you can implement into your Python coding. Effective Python aims to provide Python programmers with an understanding of the “Pythonic” way of writing programs: the best way to use Python. The code examples in this book will show you learn techniques that you were not previously aware of. Some of the many topics addressed include algorithms, objects, collaboration, etc.  You will write good code that is effective and easy to maintain. Effective Python will improve your Python code.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build...
  • O Reilly Media
  • Géron, Aurélien (Author)
  • English (Publication Language)
  • 574 Pages - 04/25/2017 (Publication Date) - O'Reilly Media (Publisher)
Gain an intuitive understanding of the concepts and tools for building intelligent systems. This book to learn python covers a range of techniques including simple linear regression and progressing to deep neural networks. You will explore several training models, including support vector machines, decision trees, random forests, and ensemble methods. This Python Machine Learning book will help you apply practical code examples without acquiring excessive machine learning theory or algorithm details

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and...
  • Raschka, Sebastian (Author)
  • English (Publication Language)
  • 770 Pages - 12/12/2019 (Publication Date) - Packt Publishing (Publisher)

Practical approach to key frameworks in data science, machine learning, and deep learning. You will learn to use TensorFlow, make use of Keras neural network library and leverage scikit-learn. This Python Machine Learning will help you explore machine learning techniques using challenging real-world data.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
  • McKinney, Wes (Author)
  • English (Publication Language)
  • 550 Pages - 10/31/2017 (Publication Date) - O'Reilly Media (Publisher)

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Python Data Science Handbook: Essential Tools for Working with Data

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Python Data Science Handbook: Essential Tools for Working with Data
  • O'Reilly Media
  • VanderPlas, Jake (Author)
  • English (Publication Language)
  • 548 Pages - 12/20/2016 (Publication Date) - O'Reilly Media (Publisher)

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?

Python Basics: A Practical Introduction to Python 3

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Python Basics: A Practical Introduction to Python 3
  • Amos, David (Author)
  • English (Publication Language)
  • 635 Pages - 03/16/2021 (Publication Date) - Real Python (realpython.com) (Publisher)

by David Amos, Dan Bader, Joanna Jablonski, Fletcher Heisler. With Python Basics, you’ll not only cover the core concepts you really need to know, but you’ll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You’ll know enough to be dangerous with Python, fast!

SaleBestseller No. 1
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
  • Book - python crash course, 2nd edition: a hands-on, project-based introduction to programming
  • Language: english
  • Binding: paperback
  • Matthes, Eric (Author)
  • English (Publication Language)
Bestseller No. 2
PYTHON: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data...
  • Amazon Kindle Edition
  • Academy, TechExp (Author)
  • English (Publication Language)
  • 456 Pages - 01/14/2021 (Publication Date)
SaleBestseller No. 3
Learning Python, 5th Edition
  • O'Reilly Media
  • Lutz, Mark (Author)
  • English (Publication Language)
  • 1648 Pages - 07/16/2013 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 4
Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners
  • Book - automate the boring stuff with python, 2nd edition: practical programming for total beginners
  • Language: english
  • Binding: paperback
  • Sweigart, Al (Author)
  • English (Publication Language)
SaleBestseller No. 5
Python Programming for Beginners: The Ultimate Guide for Beginners to Learn Python Programming:...
  • Publishing, AMZ (Author)
  • English (Publication Language)
  • 192 Pages - 07/13/2021 (Publication Date) - Independently published (Publisher)
Bestseller No. 6
The Big Book of Small Python Projects: 81 Easy Practice Programs
  • Amazon Kindle Edition
  • Sweigart, Al (Author)
  • English (Publication Language)
  • 418 Pages - 06/29/2021 (Publication Date) - No Starch Press (Publisher)
SaleBestseller No. 7
Python Basics: A Practical Introduction to Python 3
  • Amos, David (Author)
  • English (Publication Language)
  • 635 Pages - 03/16/2021 (Publication Date) - Real Python (realpython.com) (Publisher)
SaleBestseller No. 8
Fluent Python: Clear, Concise, and Effective Programming
  • O Reilly Media
  • Ramalho, Luciano (Author)
  • English (Publication Language)
  • 792 Pages - 09/01/2015 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 9
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The...
  • Deitel, Paul (Author)
  • English (Publication Language)
  • 880 Pages - 02/15/2019 (Publication Date) - Pearson (Publisher)
SaleBestseller No. 10
Head First Python: A Brain-Friendly Guide
  • O'Reilly Media
  • Barry, Paul (Author)
  • English (Publication Language)
  • 624 Pages - 12/13/2016 (Publication Date) - O'Reilly Media (Publisher)