Learn IT - Books tags coding

JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals

Apress, 2019

The motivation for writing this book was the lack of resources available about data structures and algorithms written in JavaScript. This was strange to me because today many of the job opportunities for software development require knowledge of JavaScript; it is the only language that can be used to write the entire stack, including the...

Clean Python: Elegant Coding in Python

Apress, 2019

Python is one of the most popular languages today. Relatively new fields such as data science, AI, robotics, and data analytics, along with traditional professions such as web development and scientific research, are embracing Python. It’s increasingly important for programmers writing...

Swift 4 Recipes: Hundreds of Useful Hand-picked Code Snippets

Apress, 2018

Get the most out of Swift 4 with this carefully compiled collection of select code snippets designed to solve everyday coding problems. This book features the Apress easy-to-use recipe format, with step-by-step instructions, and a no-fuss approach.

You'll explore a wide range of topics, all neatly organized according to...

DevOps in Python: Infrastructure as Python

Apress, 2019

Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers.

You'll start by writing command-line scripts and...

Learn RStudio IDE: Quick, Effective, and Productive Data Science

Apress, 2019

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and...

Thriving in the Gig Economy: Freelancing Online for Tech Professionals and Entrepreneurs

Apress, 2018

Take an in-depth look into the gig economy to see how tech professionals and entrepreneurs can earn a living as freelancers and contractors. Build your own business. The pros and cons of the lifestyle and what to expect from it are discussed.

In this book, author Adam Sinicki explains the impact of the gig economy and...

Learn Data Analysis with Python: Lessons in Coding

Apress, 2018

Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize...

Beginning Reactive Programming with Swift: Using RxSwift, Amazon Web Services, and JSON with iOS and macOS

Apress, 2018

Learn the basics of reactive programming and how it makes apps more responsive. This book shows you how to incorporate reactive programming into existing development products and cycles using RXSwift and RXCocoa on iOS and Mac.

As we move away from the traditional paradigm of typing or touching one step at a...

Design Patterns in C#: A Hands-on Guide with Real-World Examples

Apress, 2018

Get hands-on experience with each Gang of Four design pattern using C#. For each of the patterns, you’ll see at least one real-world scenario, a coding example, and a complete implementation including output.

In the first part of Design Patterns in C#, you will cover the 23 Gang of Four (GoF) design...

Developing Turn-Based Multiplayer Games: with GameMaker Studio 2 and NodeJS

Apress, 2018

Create your first turn-based multiplayer game using GameMaker Studio 2’s built-in networking functions as well as using a simple NodeJS server. This book introduces you to the complexities of network programming and communication, where the focus will be on building the game from the ground up. You will...

Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Packt Publishing, 2018

Gain useful insights from your data using popular data science tools

Key Features

A one-stop guide to Python libraries such as pandas and NumPy

Comprehensive coverage of data science operations such as data cleaning and data manipulation

Choose scalable...

Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools

Apress, 2018

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,

and pure linear integer models. Rather than...

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