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Table of Contents

What is the Best Python Tutorial?

POPULAR

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


Learn Python with over 700,000 students!
This is the most popular tutorial in 2019! 

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


With over 470,000 students, this is the go to course for Machine Learning in Python! 

DATA SCIENCE


Python for Data Science and Machine Learning Bootcamp


You will be learning Python frameworks and libraries from TensorFlow to Scikit-Learn!


Best Python tutorials 2019

Learn Python from the most popular Python resource. Written by Jose Portilla, this guide will make you a professional Python developer. 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 programming concepts. You start with basics of python 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 explained.  Complex topics like Decorators and Generators are explained in great detail.


You will learn everything about Object Oriented Programming in Python. You will be able to make games. Some of the games you will make are 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 quizzes, tests, and homework assignments. 

PROS

  • Great for beginners and advanced
  • Over 567,000 students!
  • 24 hours of video

CONS

  • Some might find it too comprehensive

SUMMARY

Best Python tutorial in 2019.

 by Kirill Eremenko, Hadelin de Ponteves and SuperDataScience Team will help you learn Python & R for Machine Learning. 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 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 courses ever.


This tutorial contains:

  • 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 tutorials 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. 

PROS

  • Machine Learning
  • Over 405,000 students!
  • 41 hours of video

CONS

  • Some might find it too comprehensive

SUMMARY

Best Python tutorial for Machine Learning in 2019.


This programming tutorials by Jose Portilla will help you to learn Python for Data Science and Machine Learning. You will use different frameworks and 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 for Machine Learning. This tutorials 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 Data Science training will teach you how to support Vector Machines. Decision Trees and Random Forests are both explained. 

PROS

  • Data Science
  • Over 209,000 students!
  • 22.5 hours of video

CONS

  • Some might find it too comprehensive

SUMMARY

Best Python tutorial for Data Science in 2019.

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 courses. Not only that, it is regularly updated to keep up with changes in Python programming language. You will be learning Python for websites, databases, web scraping, data science, web visualizations, image processing & more. You will be learning python to build 10 different apps:

  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 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 learn Python 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 concepts. 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. Demand of developers in fields such as Machine Learning and Data Science continues to rise. You will learn how to create your own programs. Object-Oriented Programming (OOP) is also covered. By the end of this course, you’ll have the skills and understanding needed to apply for programming jobs.

 

Learning Python for Data Analysis and Visualization

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

 

Python for Data Structures, Algorithms, and Interviews!

Python for Data Structures, Algorithms, and Interviews! by Jose Portilla will help you in learning python programming concepts to master your Python job interview. This Python interview tutorial help you learn 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 Data Structures and Python Algorithms. Non-technical Python interview questions and answers are discussed. You will prepare from 4 different Python mock interviews. This Python programming language tutorial will help you learn and explain everything you need to get a Python job. This is the best Python interview course in 2019.

Best Python courses 2019

 

Python for Financial Analysis and Algorithmic Trading

Python for Financial Analysis and Algorithmic Trading by Jose Portilla will help in learning Python programming language for financial analysis and algorithmic trading. You will start off by learning the fundamentals of Python programming language. 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 programming language 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 examples, code, projects, etc. This is one of the best Django Python 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 help you learn big data and 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 programming language. 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 will help you learn automation with Python. This course is aimed at workers, students, administrators and anyone that wishes to get started with Python. You will start 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 programming language. 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 coding. This is one of the best Python tutorials for beginners in 2019.

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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

SaleBestseller No. 1
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
  • Matthes, Eric (Author)
  • English (Publication Language)
  • 544 Pages - 05/03/2019 (Publication Date) - No Starch Press (Publisher)
Bestseller No. 2
Python Tricks: A Buffet of Awesome Python Features
  • Amazon Kindle Edition
  • Bader, Dan (Author)
  • English (Publication Language)
  • 304 Pages - 12/06/2017 (Publication Date) - Dan Bader (dbader.org) (Publisher)
SaleBestseller No. 3
Python Cookbook, Third edition
  • O Reilly Media
  • Beazley, David (Author)
  • English (Publication Language)
  • 706 Pages - 06/01/2013 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 4
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
  • No Starch Press
  • Sweigart, Al (Author)
  • English (Publication Language)
  • 504 Pages - 04/14/2015 (Publication Date) - No Starch Press (Publisher)
SaleBestseller No. 5
Learning Python, 5th Edition
  • O'Reilly Media
  • Lutz, Mark (Author)
  • English (Publication Language)
  • 1648 Pages - 07/09/2013 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 6
Programming the Raspberry Pi, Second Edition: Getting Started with Python
  • Tab Books
  • Monk, Simon (Author)
  • English (Publication Language)
  • 208 Pages - 10/05/2015 (Publication Date) - McGraw-Hill Education TAB (Publisher)
Bestseller No. 7
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
  • Amazon Kindle Edition
  • Matthes, Eric (Author)
  • English (Publication Language)
  • 562 Pages - 11/01/2015 (Publication Date) - No Starch Press (Publisher)
SaleBestseller No. 8
The Quick Python Book
  • Ceder, Naomi (Author)
  • English (Publication Language)
  • 472 Pages - 06/14/2018 (Publication Date) - Manning Publications (Publisher)
SaleBestseller No. 9
Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)
  • Pearson Addison Wesley Prof
  • Shaw, Zed A. (Author)
  • English (Publication Language)
  • 320 Pages - 07/07/2017 (Publication Date) - Addison-Wesley Professional (Publisher)
SaleBestseller No. 10
A Smarter Way to Learn Python: Learn it faster. Remember it longer.
  • Myers, Mark (Author)
  • English (Publication Language)
  • 236 Pages - 08/09/2017 (Publication Date) - CreateSpace Independent Publishing Platform (Publisher)

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

Sale
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
  • No Starch Press
  • Matthes, Eric (Author)
  • English (Publication Language)
  • 560 Pages - 11/30/2015 (Publication Date) - No Starch Press (Publisher)

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, 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. The book 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 in learning Python. This is one of the best Python books in 2019.

 

Learning Python

Sale
Learning Python, 5th Edition
  • O'Reilly Media
  • Lutz, Mark (Author)
  • English (Publication Language)
  • 1648 Pages - 07/09/2013 (Publication Date) - O'Reilly Media (Publisher)

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 major built-in object types such as numbers, lists, and dictionaries
  • Create and process objects with Python statements, and 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 Python books for beginners in 2019.

 

Fluent Python: Clear, Concise, and Effective Programming

Sale
Fluent Python: Clear, Concise, and Effective Programming
  • O Reilly Media
  • Ramalho, Luciano (Author)
  • English (Publication Language)
  • 792 Pages - 08/20/2015 (Publication Date) - O'Reilly Media (Publisher)

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
  • Learn Metaprogramming: Properties, attribute descriptors, class decorators, and metaclasses

This is one of the best advanced Python books in 2019.

 

Effective Python: 59 Specific Ways to Write Better Python

Sale
Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
  • Addison-Wesley Professional
  • Slatkin, Brett (Author)
  • English (Publication Language)
  • 256 Pages - 03/08/2015 (Publication Date) - Addison-Wesley Professional (Publisher)

Effective Python: 59 Specific Ways to Write Better Python by Brett Slatkin teaches you 59 tips and tricks to get better at Python. This book will help you learn best practices, tips, tricks and coding examples that you can implement into your Python coding. 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 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 coding. Effective Python will improve your coding. This is one of the best Python books for tips and tricks.

 

Python Cookbook

Sale
Python Cookbook, Third edition
  • O Reilly Media
  • Beazley, David (Author)
  • English (Publication Language)
  • 706 Pages - 06/01/2013 (Publication Date) - O'Reilly Media (Publisher)

David Beazley and Brian K. Jones is full of tasty 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.

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.

 

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

Sale
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • O Reilly Media
  • Géron, Aurélien (Author)
  • English (Publication Language)
  • 574 Pages - 04/18/2017 (Publication Date) - O'Reilly Media (Publisher)
by Aurélien Géron will help you gain an intuitive understanding of the concepts and tools for building intelligent systems. This 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

 

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

Sale
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
  • Raschka, Sebastian (Author)
  • English (Publication Language)
  • 622 Pages - 09/20/2017 (Publication Date) - Packt Publishing (Publisher)

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.

 

Automate the Boring Stuff with Python: Practical Programming for Total Beginners

Sale
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
  • No Starch Press
  • Sweigart, Al (Author)
  • English (Publication Language)
  • 504 Pages - 04/14/2015 (Publication Date) - No Starch Press (Publisher)

Automate the Boring Stuff with Python: Practical Programming for Total Beginners by Al Sweigart will teach you to write Python programs in minutes. You will be learning Python from step-by-step instructions that will save you hours every week. Once you learn the basics, you will quickly build Python programs that do a wide variety of tasks.

Some of the Python tasks you will learn to automate include:

  • Search for text in a file or across multiple files
  • Create, update, move, and rename files and folders
  • Search the Web and download online content
  • Update and format data in Excel spreadsheets of any size
  • Split, merge, watermark, and encrypt PDFs
  • Send reminder emails and text notifications
  • Fill out online forms

This is one of the best Python books for beginners in 2019.

 

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

Sale
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
  • python for data analysis
  • python for data analysis wes mckinney
  • McKinney, Wes (Author)
  • English (Publication Language)
  • 550 Pages - 10/20/2017 (Publication Date) - O'Reilly Media (Publisher)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney will teach you all about working with data in Python. You will learn how to manipulate, process, clean and crunch data with practical hands-on case studies. This book is updated for Python 3.6 and the latest versions of Pandas, NumPy, IPython, and Jupyter.

This book will help you:

  • Use the IPython shell and Jupyter notebook for exploratory computing
  • Learn basic and advanced features in NumPy (Numerical Python)
  • Get started with data analysis tools in the pandas library
  • Use flexible tools to load, clean, transform, merge, and reshape data
  • Create informative visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Analyze and manipulate regular and irregular time series data
  • Learn how to solve real-world data analysis problems with thorough, detailed examples

 

Introducing Python: Modern Computing in Simple Packages

Sale
Introducing Python: Modern Computing in Simple Packages
  • O Reilly Media
  • Lubanovic, Bill (Author)
  • English (Publication Language)
  • 484 Pages - 12/09/2014 (Publication Date) - O'Reilly Media (Publisher)

Introducing Python: Modern Computing in Simple Packages by Bill Lubanovic is the ideal book for beginners to Python. You will go from Python basic topics to more advanced Python topics with cookbook style recipes. This Python 3 book includes best practices for testing, debugging and code reuse. At the end of each chapter, there are practice Python exercises.

You will learn features including:

  • Learn simple data types, and basic math and text operations
  • Use data-wrangling techniques with Python’s built-in data structures
  • Explore Python code structure, including the use of functions
  • Write large programs in Python, with modules and packages
  • Dive into objects, classes, and other object-oriented features
  • Examine storage from flat files to relational databases and NoSQL
  • Use Python to build web clients, servers, APIs, and services
  • Manage system tasks such as programs, processes, and threads
  • Learn the basics of concurrency and network programming

This is one of the best books to get started with Python.

 

Python Data Science Handbook: Essential Tools for Working with Data

Sale
Python Data Science Handbook: Essential Tools for Working with Data
  • O\'Reilly Media
  • VanderPlas, Jake (Author)
  • English (Publication Language)
  • 548 Pages - 12/10/2016 (Publication Date) - O'Reilly Media (Publisher)

by Jake VanderPlas will teach you Data Science. This book covers all the important Data Science libraries including NumPy, Pandas, Matplotlib and Scikit-Learn. You will learn all about manipulating, transforming, and cleaning data. Using data to build machine learning models is also explained.

This book covers::

  • IPython and Jupyter: provide computational environments for data scientists
  • NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays
  • Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data
  • Matplotlib: includes capabilities for a flexible range of data visualizations
  • Scikit-Learn: for efficient and clean implementations of the most important and established machine learning algorithms

This is one of the best reference books.

 

Python Tricks: A Buffet of Awesome Python Features

Sale
Python Tricks: A Buffet of Awesome Python Features
  • Bader, Dan (Author)
  • English (Publication Language)
  • 302 Pages - 10/25/2017 (Publication Date) - Dan Bader (Publisher)

by Dan Bader will help you in learning Python best practices and tricks. You will learn step-by-step with easy to follow examples. This book will take you on the path to mastery. By the end of this book, you will write idiomatic code. This is book that makes learning Python easy.

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Last update on 2019-11-18 / Affiliate links / Images from Amazon Product Advertising API