Last Updated: February 3, 2019

Python is a high-level language created by Guido van Rossum and first released in 1991. It is named after the greatest comedy act of all time, Monty Python. Python can be used to create pretty much any type of application. Python has been popular for many years and it’s popularity shows no signs of stopping anytime soon. Being an in-demand language, knowing Python is beneficial for your career as a software developer. Having working knowledge of high-level programming languages is something any software developer should have. Here’s a list of some of the best Python tutorials, best Python courses,& best Python books to help you learn Python in 2019.

 

Best Python courses & tutorials 2019

 

Complete Python Bootcamp: Go from zero to hero in Python 3

Complete Python Bootcamp: Go from zero to hero in Python by Jose Portilla will make you a professional Python developer. With over 100 lectures and more than 20 hours of video content, this is one of the most comprehensive Python programming language courses. Well over 400,000 developers have taken this course, which shows how it is simply one of the best Python courses. This Python programming tutorial goes in-depth. You start with Python basics and go all the way to Python advanced features and techniques. This Python online training course teaches you to use both Python 2 and Python 3. Advanced Python features like collections module and timestamps are explained.  Complex topics like Python Decorators and Python Generators are explained in great detail.

You will learn everything about Object Oriented Programming in Python. You will be able to make Python games. Some of the games you will make with Python are like Tic Tac Toe and Blackjack. you will learn how to create .py files. Jupyter Notebook system is explained. You will use Jupyter Notebook system to create GUIs. This course includes Python quizzes, Python tests, and Python homework assignments. This is one of the best Python tutorials in 2019.

 

Machine Learning A-Z: Hands-On Python & R In Data Science

Machine Learning A-Z: Hands-On Python & R In Data Science by Kirill Eremenko, Hadelin de Ponteves and SuperDataScience Team will teach you Machine Learning using Python & R. This course has been designed by two professional Data Scientists. With over 300,000 students and an average rating of 4.5 on Udemy, this is quite simply one of the best Machine Learning & Python courses. If that wasn’t enough, this course has a length of over 40 hours of video content! This makes it one of the most comprehensive Machine Learning courses ever.

The Machine Learning Python course is structed in the following way:

  • Part 1 – Data Preprocessing
  • Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 – Clustering: K-Means, Hierarchical Clustering
  • Part 5 – Association Rule Learning: Apriori, Eclat
  • Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

This Python tutorial will teach you everything related to Machine Learning, step-by-step. You will build an army of powerful Machine Learning models. Then you will combine them to solve any problem. You will be able to handle different topics like Reinforcement Learning, NLP and Deep Learning. Advanced techniques like Dimensionality Reduction are also taught.

Using the knowledge you gain, you will know which Machine Learning model to use depending on the problem. This is one of the best Machine Learning Python tutorials in 2019.

 

The Python Mega Course: Build 10 Real World Applications

The Python Mega Course: Build 10 Real World Applications by Ardit Sulce teaches you Python building 10 real world Python applications. With well over 100,000 students, this among the most popular project based Python courses. Not only that, it is regularly updated to keep up with changes in Python programming. You will learn how to use Python for websites, databases, web scraping, data science, web visualizations, image processing & more. You will learn how to build 10 different Python apps.

The 10 Python applications you are going to build are:

  1. A program that returns definitions of English words
  2. A program that blocks access to distracting websites
  3. A web map visualizing volcanoes and population
  4. A portfolio website
  5. A desktop graphical program with a database backend
  6. A webcam motion detector
  7. A web scraper of real estate data
  8. An interactive web graph
  9. A database web application
  10. A web service that converts addresses to coordinates

These Python apps will cover a wide range of topics including:

  • Web applications
  • Desktop applications
  • Database applications
  • Web scraping
  • Web mapping
  • Data analysis
  • Data visualization
  • Computer vision
  • Object Oriented Programming

You will use different Python based frameworks and libraries to build these Python 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. Use 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 learn by doing Python courses.

 

Learn Python Programming Masterclass


Learn Python Programming Masterclass by Tim Buchalka and Jean-Paul Roberts will teach you Python 3 programming fast. This Python course is aimed at complete beginners who have never programmed before. Programmers with any level of experience will also find this to be a great Python tutorial and increase their career and salary options. With 40 plus hours of video content and regular updates, this is an epic Python 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 Python 3 course will give you the pre-requisite Python skills required to move into specific branches such as Machine Learning, Data Science, etc. Demand of Python developers in fields such as Machine Learning and Data Science continues to rise. You will understand both Python 2 and Python 3. This Python tutorial will teach you how to create your own Python programs. Python Object-Oriented Programming (OOP) is also covered. By the end of this Python course, you’ll have the skills and understanding of Python needed to apply for Python programming jobs.

 

Learning Python for Data Analysis and Visualization

Learning Python for Data Analysis and Visualization by Jose Portilla will teach you how to use Python to analyze and visualize data. This Python Data Analysis tutorial will teach how to use scientific computing modules and libraries to analyze data. You need to be an intermediate Python programmer. This Python video tutorial will show you how to work with various data formats with Python like JSON, HTML, and MS Excel Worksheets. Create and manipulate arrays using Numpy and Python. Use Pandas to create and analyze data sets. Create beautiful data visualization using Matplotlib and Seaborn libraries. You will build an amazing portfolio of Python data analysis projects. This Python visualization tutorial will help you understand Machine Learning and SciKit Learn. This is one of the best Python Data Analysis and Visualization tutorials in 2019.

 

Python for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp by Jose Portilla will teach you how to use Python for Data Science and Machine Learning. You will use different Python frameworks and libraries such as NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, Tensorflow and more. This Python tutorial will show you how to use Python to implement Machine Learning algorithms.  You will use SciKit-Learn for Machine Learning. This tutorial will show you how use Matplotlib and Seaborn for data visualizations. Use 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 Python data Science training will teach you how to support Vector Machines. Decision Trees and Random Forests are both explained. This is one of the best Data Science Python courses in 2019.

 

Python for Data Structures, Algorithms, and Interviews!

Python for Data Structures, Algorithms, and Interviews! by Jose Portilla will teach you how to master your Python job interview. This Python interview tutorial will teach you how to succeed in Python coding interviews and get a Python developer job. Python developers can make high salaries. This course will help you understand all major Python Data Structures and Python Algorithms. Non-technical Python interview questions and answers are discussed. You will prepare from 4 different Python mock interviews. These Python interview videos will help you understand and be able to explain everything you need to get a Python job. This is the best Python interview course in 2019.

 

Python for Financial Analysis and Algorithmic Trading

Python for Financial Analysis and Algorithmic Trading by Jose Portilla will teach you how to use Python for financial analysis and algorithmic trading. You will start off by learning the fundamentals of Python. Then you will proceed to learn about the various core libraries used in the Py-Finance Ecosystem. These include jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, etc. You will be able to calculate financial statistics, such as daily returns, cumulative returns, volatility, etc. Use ARIMA models on Time Series Data. You will optimize portfolio allocations. This is among the best Python Financial Analysis tutorials.

This Python Algorithmic Trading tutorial will help you learn about the Efficient Market Hypothesis. Use of NumPy will be made to quickly work with Numerical Data. You will use Pandas for Analyze and Visualize Data. Matplotlib will be used to create custom plots. You will learn how to use statsmodels for Time Series Analysis. This is one of the best Python Algorithmic Trading courses.

 

Python and Django Full Stack Web Developer Bootcamp

Python and Django Full Stack Web Developer Bootcamp by Jose Portilla will teach you how to build a fully functional website using Python and Django. This course is designed in such a way that anyone can learn how to become a web developer. You will learn the power of Python to build web applications. You will use Models-Views-Templates structure to build your web apps. Django will be used for the back-end. You will also use other technologies to build your Python and Django websites. HTML, Bootstrap, CSS, jQuery and JavaScript for the front-end. The course is packed with Python examples, Python code, Python projects, etc. This is one of the best Python Django tutorials.

 

Spark and Python for Big Data with PySpark

Spark and Python for Big Data with PySpark by Jose Portilla will teach you how to use Python and Spark together to analyze Big Data. This Python and Spark tutorial will teach how to analyze huge data sets. Spark can perform up to 100x faster than Hadoop MapReduce. Spark 2.0 DataFrame framework is new in 2017, making it ideal to learn. Python and Apache Spark skills will help you in the Big Data job market. This Python and Apache tutorial will teach the basics with a crash course in Python. Then it teaches you how to use Spark DataFrames with the latest Spark 2.0 syntax. You will use the MLlib Machine Library with the DataFrame syntax and Spark. The latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees are all covered in this course.

You will use Spark with Random Forests for classification. Use Spark’s MLlib to create Powerful Machine Learning Models. You will learn how to use Spark’s Gradient Boosted Trees. This PySpark tutorial will even teach you to use Spark Streaming to analyze tweets in real time. Using Spark and Natural Language Processing, you will build a Spam filter. The DataBricks Platform is introduced. You will set up on Amazon Web Services EC2 for Big Data Analysis. Make use of AWS Elastic MapReduce Services. You will work with a Spark Environment on Linux. This is one of the best Python PySpark and Apache Spark tutorials.

 

Zero to Deep Learning with Python and Keras

Zero to Deep Learning with Python and Keras by Jose Portilla and Francesco Mosconi will teach to understand and build Deep Learning models for images, text, sound and more using Python and Keras. This Python Deep Learning tutorial will help you understand and apply Deep Learning techniques to a variety of problems. The course is aimed at beginners and intermediate Python programmers and data scientists. You will start off with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then you will learn about Artificial Neural Networks. You will understand how to solve Regression and Classification problems.

You will use Python and Keras to build deep learning models. This Keras tutorial will teach you to apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data. You will be able to look at the internals of a deep learning model without feeling overwhelmed and be able to change its parameters. This Python Deep learning course will teach you to build, train and usefully connected, convolutional and recurrent neural networks. This is one of the best Python Deep Learning and Keras tutorials.

 

Automate the Boring Stuff with Python Programming

Automate the Boring Stuff with Python Programming by Al Sweigart is a Python course for non-programmers. This course is aimed at workers, students, administrators and anyone that wishes to get started with Python.  You will get started by building simple Python programs related to automation. Then you will build Python programs that do interesting everyday tasks. Programmatically generate and update Excel spreadsheets with Python. Using Python, you will crawl websites and pull information from online sources.  Write Python programs that can do text pattern recognition with “regular expressions” or regex. Parse PDFs and Word documents with the help of Python. Write Python programs that send out email notifications. You will use Python’s debugging tools to quickly figure out bugs in your code. This is one of the best Python tutorials for beginners in 2019.

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Python Regular Expressions – Real World Applied Python

Python Regular Expressions – Real World Applied Python by Chandra Lingam will teach you pattern matching skills for log mining, big data parsing, cleanup and preparation with regex in Python. You will be able to confidently use regular expression as a powerful text processing tool for data parsing, cleanup, and preparation. This Python Regex tutorial will teach you how to use regular expression as a powerful text processing tool. You will minimize effort spent on custom development for data cleanup. This Python Regex course will help you understand potential performance issues and techniques to address them. You will learn practical tips to use Python Regular Expressions. This is one of the best Python Regular Expression tutorials.

 

Best Python books 2019

 

Bestsellers

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1. Python Crash Course: A Hands-On, Project-Based Introduction to Programming

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Python Crash Course by Eric Matthes is a fast-paced ride through the world of programming with Python. You will learn everything to write your own programs quickly. This does not mean that it is not through or doesn’t give an explanation of what exactly you are doing. Basic programming concepts like classes and loops are explained.  You will learn how to write good code and test it extensively. You will:

  • Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
  • Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses
  • Work with data to generate interactive visualizations
  • Create and customize Web apps and deploy them safely online
  • Deal with mistakes and errors so you can solve your own programming problems

Python Crash Course walks you through three epic projects where you will build a game, build data visualizations and a simple web app. After completing these three projects, you will have all the skills necessary to build anything and everything in Python. This is one of the best Python 3 books in 2019.

Python Crash Course has a great style of writing that is easy to read and understand, making sure beginners will not be overwhelmed at all. This book is packed with fundamentals that are useful to programmers of any skill level. Python Crash Course is the fastest way to get up to speed with Python. This is one of the best books for Python programming beginners in 2019.

 

2. Learning Python

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Learning Python by Mark Lutz is considered by many as the best books for learning Python. Learning Python is a comprehensive and in-depth look at the Python language and all its features. This book is packed with exercises, advanced language features, and even illustrations to give you the best education in Python. Features such as Python’s syntax and statements are explored.More advanced Python features such as decorators, metaclasses and descriptors are also taught. You will:

  • Learn Python’s major built-in object types such as numbers, lists, and dictionaries
  • Create and process objects with Python statements, and learn Python’s general syntax model
  • Use functions to avoid code redundancy and package code for reuse
  • Organize statements, functions, and other tools into larger components with modules
  • Dive into classes: Python’s object-oriented programming tool for structuring code
  • Write large programs with Python’s exception-handling model and development tools
  • Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

Learning Python does not miss pretty much anything related to Python. This book is as detailed as it gets. This is one of the best Python books for programmers. Learning Python is a great to begin Python. This is a very conclusive and thorough book on Python, with over 1500 pages.Learning Python still remains one of the best ways to get started with Python. This is one of the best books to learn Python in 2019.

 

3. Fluent Python: Clear, Concise, and Effective Programming

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Fluent Python: Clear, Concise, and Effective Programming by Luciano Ramalho is for python developers who wish to ascend to the next level. This book 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 Fluent Python teaches you. This book covers:

  • Python data model: Special methods
  • Data structures: Built-in types, and text vs bytes duality in the Unicode age
  • Functions as objects: Python functions as first-class objects and popular design patterns
  • Object-oriented idioms: References, mutability, interfaces, operator overloading, and multiple inheritance
  • Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages
  • Metaprogramming: Properties, attribute descriptors, class decorators, and metaclasses

 

Effective Python: 59 Specific Ways to Write Better Python by Brett Slatkin teaches you 59 tips and tricks to get better at Python. is packed with best practices, tips, tricks and code examples that you can implement into your Python coding. The code examples in this book will show you how to use Python techniques that you were not previously aware of. Some of the many topics addressed include algorithms, objects, collaboration, etc.  You will write good Python code that is effective and easy to maintain.

Effective Python is full of actionable tips and tricks that will take you Python to the next level. The books serve as a guidebook to improving your Python code. Effective Python will improve your Python code. This is one of the best Python books for Python tips and tricks.

 

5. Python Cookbook

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Python Cookbook by David Beazley and Brian K. Jones is full of tasty Python recipes that you can instantly cook up and use.

Python Cookbook is packed with practical Python recipes that cover a wide range of Python topics including data structures, algorithms, metaprogramming, etc.. The recipes also come with detailed code samples that tell you how and why to use them. Testing and debugging are also covered. Python Cookbook is all about writing code that is more robust, cleaner and faster.

Python Cookbook is a well written and filled with all kinds of recipes. This book is well organized and easy to follow along. Any aspiring Python chef needs to have this on their bookshelves. This is one of the best Python question and answer books.

 

6. 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 Intelligent Systems by Aurélien Géron will help you gain an intuitive understanding of the concepts and tools for building intelligent systems. This Python Machine Learning book will help you learn 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

 

7. Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili is a 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.

 

 

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