The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.
You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.
Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
- The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
- Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
- How to access R’s thousands of functions, libraries, and data sets
- How to draw valid and useful conclusions from your data
- How to create publication-quality graphics of your results
Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time.
In the first half of the book, you’ll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, a set of data visualizations with Python’s handy libraries, and a simple web app you can deploy online.
As you work through the book, you’ll learn how to:
• Use powerful Python libraries and tools, including Pygame, Matplotlib, Plotly, and Django
• Make 2D games that respond to keypresses and mouse clicks, and that increase in difficulty
• Use 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 for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.
The Markdown markup language is one of the most popular plain-text formatting languages available. Learn the Markdown syntax in 60 pages with the book that’s been called “the best Markdown reference.” Designed for both novices and experts, The Markdown Guide is a comprehensive reference manual that has everything you need to get started and master the Markdown syntax.