As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning.
This book covers the MATLAB syntax and the environment suitable for someone with no programming background. The first four chapters present information on basic MATLAB programming including computing terminology, MATLAB specific syntax and control structures, operators, arrays and matrices. The next cluster covers grouping data, working with ......
Designed as a Java based textbook for beginning programmers, this book uses game programming as a central pedagogical tool to improve student engagement, learning outcomes, and retention. The new edition includes updating the GUI interface chapters from Swing based to FX based programs. The game programming is incorporated into the text in a way ......
Designed as a one semester, Java textbook for beginning programmers, this book uses game programming as a central pedagogical tool to improve student engagement, learning outcomes, and retention.
This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions.
If you’re an application developer, or you’re training to be one, this latest edition of Murach’s classic SQL Server book is made for you. By the end, you’ll be able to create database applications that are thoroughly professional, and you’ll have a handy reference at your side to answer questions and handle new challenges as they come up.
If you want to learn how to program but don’t know where to start, this is the right book and the right language for you. Python is the best language ever for learning how to program because of its simplicity and breadth…two features that are hard to find in a single language.
These days, businesses are collecting massive amounts of data. But this data isn’t valuable until someone analyzes it to gain insights that can be used to make decisions. That’s why the US Bureau of Labor Statistics (BLS) predicts that the demand for data analysts will continue to grow for the rest of the decade.
