LEARNING PYTHON EPUB DOWNLOAD

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The Blueprint to Python Programming: A Beginners Guide to Everything You Need to Know to Get Started is the perfect book for you to get. Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and. The free How To Code in Python eBook can be used as an Open system, and begin by learning general Python code structure, syntax, and data types. You can download the eBook in either the EPUB or PDF format by.


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Get the latest tutorials on SysAdmin and open source topics. Having these tutorials together in an eBook format provides you with a resource that you can use on your favorite e-reader without maintaining a constant internet connection. This way, you can use the book to learn key concepts while offline, or as a reference guide while you are coding on your computer. Because it is available in an eBook format, How To Code in Python can be used as an Open Educational Resource and therefore as an alternative to a textbook in the classroom. Additionally, the eBook can be made available for the wider public through libraries. This eBook can be used in a variety of ways, so this guide will break down how the general reader may want to approach the book, how teachers and students can use the book as part of their classes, and how public and university librarians can increase availability of this eBook as an educational resource.

Free PDF eBook: Learning Python

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You don't have anything in your cart right now. Discover the ins and outs of one of the most popular programming languages in the world today with the help of this eBook. Python is a dynamic and diverse language and can be used in everything from web applications to crunching raw data.

No matter what you use it for though, we all have to start at the beginning; and Learning Python is your gateway to the world of professional Python development! This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted.

This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects. Sign up to our emails for regular updates, bespoke offers, exclusive discounts and great free content. Log in. My Account. Log in to your account. Not yet a member? Register for an account and access leading-edge content on emerging technologies.

Register now. Packt Logo. You can learn more about how and why the eBook was made by reading this blog post. Twitter Facebook Hacker News. How To Code in Python 3. DigitalOcean eBook: How To Code in Python.

Python 2 vs Python 3: Practical Considerations.

How To Write Comments in Python 3. Understanding Data Types in Python 3. An Introduction to Working with Strings in Python 3. An Introduction to String Functions in Python 3. How To Use Variables in Python 3. Built-in Python 3 Functions for Working with Numbers. Understanding Boolean Logic in Python 3. Understanding List Comprehensions in Python 3. Understanding Tuples in Python 3.

Understanding Dictionaries in Python 3. How To Import Modules in Python 3. How To Write Modules in Python 3. How To Define Functions in Python 3. Understanding Class and Instance Variables in Python 3. Understanding Class Inheritance in Python 3. Subscribe Subscribed. We hope you find this tutorial helpful. In addition to guides like this one, we provide simple cloud infrastructure for developers.

Download the Complete eBook! Upvote Written in a relatively straightforward style with immediate feedback on errors, Python offers simplicity and versatility, in terms of extensibility and supported paradigms.

The free How To Code in Python eBook can be used as an Open Educational Resource and an alternative to a textbook in the classroom, as well as be made available for the wider public through libraries. Python is an extremely readable and versatile programming language. While Python 2. This article will take you through the key differences to consider when choosing on whether to work in Python 2 or Python 3 for your development projects. Python is a flexible and versatile programming language that can be leveraged for many use cases, with strengths in scripting, automation, data analysis, machine learning, and back-end development.

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This tutorial will guide you through installing Python 3 on your local Ubuntu This tutorial will get your Ubuntu Programming on a server has many advantages and supports collaboration across development projects.

This tutorial will go over how to work with the Python interactive console and leverage it as a programming tool. Comments are lines in computer programs that are ignored by compilers and interpreters. This tutorial will go over how to use comments in your Python program, making your projects more readable for humans and thus more open to collaboration.

In this tutorial, we will go over the important data types native to Python: This Python tutorial will go over the basics of working with strings, including how to create and print strings, concatenate and replicate strings, and store strings in variables. How To Format Text in Python 3.

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Topics we will cover include: Python has several built-in functions associated with the string data type. These functions let us easily modify and manipulate strings. The Python string data type is a sequence made up of one or more individual characters consisting of letters, numbers, whitespace characters, or symbols. Strings are sequences and can be accessed in the same ways as other sequence-based data types, through indexing and slicing.

This tutorial will guide you through how to access strings through indexing and how to slice them through their character sequences; it will also cover counting and character location methods.

This Python 3 tutorial will guide you through converting data types including numbers, strings, tuples and lists, as well as provide examples to help familiarize yourself with different use cases. This tutorial will cover some variable basics and how to best use them within the Python 3 programs you create.

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We'll go through naming rules and conventions, reassigning variables, multiple assignment, and making local and global variables. This tutorial will guide you through some of the common uses of string formatters in Python, which can help make your code and program more readable and user friendly.

This tutorial will go over operators that can be used with number data types in Python. This tutorial will go through a few of the built-in functions that can be used with numeric data types in Python 3.

Becoming familiar with these methods can give you more flexibility when programming. The Boolean data type can be one of two values, either True or False. We use Booleans in programming to make comparisons and to control the flow of the program. Understanding Lists in Python 3. This tutorial will go through some of the ways we can work with lists in Python. Lists are great to use when you want to work with many related values.

They enable you to keep data together, condense your code, and perform the same methods and operations on multiple values at once. This tutorial will cover some basic processes, including indexing, slicing, modifying, and concatenating lists. List comprehensions offer a succinct way to create lists based on existing lists. In this tutorial, we will cover the syntax of list comprehension, which will be an important tool in creating efficient code.

A tuple is a data structure that consists of an immutable ordered sequence of elements. Because tuples are immutable, their values cannot be modified. In this tutorial, we will cover some basic processes, including indexing, slicing and concatenating tuples, and the built-in functions that are available when working with these data structures.

Dictionaries map keys to values, making key-value pairs that can then store data. In this tutorial, we will go over the dictionary data structure in Python.