A list of the best new Programming books for September 2017, a great list of 20 new books!
Best New Books for September 2017
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data.
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Interactive Data Visualization for the Web: An Introduction to Designing with D3
Create and publish your own interactive data visualization projects on the web—even if you have little or no experience with data visualization or web development. Learn D3 4. x—the latest D3 version—with downloadable code and over 140 examples Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed graphs Use smooth, animated transitions to show changes in your data Introduce interactivity to help users explore your data Create custom geographic maps with panning, zooming, labels, and tooltips Walk through the creation of a complete visualization project, from start to finish Explore inspiring case studies with nine accomplished designers talking about their D3-based projects.
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python. Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.
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C#: Programming Basics for Absolute Beginners (Step-By-Step C# Book 1)
C# Made Easy – a Step-by-Step Guide for Beginners Get the Kindle version FREE when purchasing the Paperback. This comprehensive beginner’s guide will take you step by step through learning one of the best programming languages out there. Key Topics Basics of C# Writing Your First Program, Step-By-Step Basic Program Structure How to Use a Compiler Which IDE to Choose Capabilities of C# Sample Applications Data Types Variables Constants and Literals Operators Type Conversion The Nullable Type Get Your Copy Today.
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JavaScript: Programming Basics for Absolute Beginners (Step-By-Step JavaScript Book 1)
JavaScript Made Easy – a Step-by-Step Guide for Beginners Get the Kindle version FREE when purchasing the Paperback. Introduction to JavaScript For newcomers to JavaScript we look at what the language has to offer, its origin and design goals, features and capabilities, as well as JavaScript based frameworks, before stepping into more in-depth topics. Key Topics Basics of JavaScript Writing Your First Program, Step-By-Step Basic Program Structure Which IDE to Choose Features and Uses of JavaScript Sample Applications Data Types Variables Operators Type Conversions Numbers Strings Booleans Working with Dates Get Your Copy Today.
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Deep Learning with Python
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects.
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Python Machine Learning – Second Edition
Key Features Second edition of the bestselling book on Machine Learning A practical approach to the frameworks of data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Book Description Machine learning is eating the software world, and now deep learning is extending machine learning. Readers new to machine learning will find this classic book offers the practical knowledge and rich techniques they need to create and contribute to machine learning, deep learning, and modern data analysis. What you will learn Use the key frameworks of data science, machine learning, and deep learning Ask new questions of your data through machine learning models and neural networks Work with the most powerful Python open-source libraries in machine learning Build deep learning applications using Keras and TensorFlow Embed your machine learning model in accessible web applications Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Analyze images using deep learning techniques Use sentiment analysis to delve deeper into textual and social media data.
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Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
Learn the essentials of the Spring Boot microframework for developing modern, cloud-ready JVM applications and microservices across a variety of environments. With this practical book, you’ll learn everything you need to know to get started working with Spring Boot. This book shows you how to leverage Spring Boot to build modular, highly-scalable applications.
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Effective Java (3rd Edition)
Since this Jolt-award winning classic was last updated in 2008 (shortly after Java 6 was released), Java has changed dramatically. New library features include pervasive use of functional interfaces and streams, thejava. In this new edition ofEffective Java, Bloch updates the work to take advantage of these new language and library features, and provides specific best practices for their use.
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Python Programming: The Ultimate Beginners Guide to the Python Programming Language
Python Programming The Ultimate Beginners Guide to the Python Programming Language The hardest part about learning to program is deciding what language to start out with or which one to learn next. Python. In this book, you will learn: What programming is How programming is used How to debug different errors The different types of languages What Python is and how to install it Why most people choose Python over others Object-oriented programming and variables The properties of a well written program Tips and tricks to write code more efficiently Get your copy of Python Programming: The Ultimate Beginners Guide to the Python Programming Language and start coding in Python today.
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