Best Upcoming Web Programming Books of August 2017

Every month, new books are released, and we’d like to share the ones with you we think should not be missed. This time, we’re focussing on Web Programming. Please let us know what you think, and happy reading!

Best Upcoming Web Programming Books of August 2017

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
    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.

  • Deep Learning with Python
    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.

  • Interactive Data Visualization for the Web: An Introduction to Designing with D3
    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.

  • Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw’s Hard Way Series)
    Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw's Hard Way Series)

    Transform Your Ideas into High-Quality Python Code. Soon, you’ll go beyond merely writing code that runs: you’ll craft high-quality Python code that solves real problems. You’ll be a serious Python programmer.

  • Spark: The Definitive Guide: Big Data Processing Made Simple
    Spark: The Definitive Guide: Big Data Processing Made Simple

    With an emphasis on improvements and new features in Spark 2. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Spark’s Structured Streaming and MLlib for machine learning tasks Explore the wider Spark ecosystem, including SparkR and Graph Analysis Examine Spark deployment, including coverage of Spark in the Cloud.

  • Java: The Complete Reference, Tenth Edition
    Java: The Complete Reference, Tenth Edition

    The Definitive Java Programming Guide Fully updated for Java SE 9, Java: The Complete Reference, Tenth Edition explains how to develop, compile, debug, and run Java programs. Bestselling programming author Herb Schildt covers the entire Java language, including its syntax, keywords, and fundamental programming principles. Swing, JavaFX, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action.

  • Learn PowerShell Scripting in a Month of Lunches
    Learn PowerShell Scripting in a Month of Lunches

    Inside, readers discover how scripting is different from command-line PowerShell, as they explore concrete hands-on examples. This book includes and expands on many of the techniques presented in Learn PowerShell Toolmaking in a Month of Lunches. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

  • CSS: The Definitive Guide: Visual Presentation for the Web
    CSS: The Definitive Guide: Visual Presentation for the Web

    CSS: The Definitive Guide, 4th Edition provides experienced web developers with a comprehensive guide to CSS implementation, along with a thorough review of all aspects of CSS 3. Updated to cover Internet Explorer 10, Microsoft’s vastly improved browser, as well as Safari, Firefox, Chrome, and Opera, this new edition includes content on transitions, animations, new selectors, paged media, and more. Updated for the latest in CSS3 specifications and browser support Explores the complex world of CSS transformations Demonstrates new interface approaches built on CSS animations Reconsiders layout possibilities with grid and flexible box possibilities.

  • Windows PowerShell in Action
    Windows PowerShell in Action

    Windows PowerShell transformed the way administrators and developers interact with Windows. Windows PowerShell in Action, Third Edition is a completely revised edition of the bestselling book on PowerShell. It keeps the same crystal-clear introduction to PowerShell as the last edition and adds extensive coverage of v3, v4, and v5 features such as PowerShell Workflows, Desired State Configuration, PowerShell classes and the PowerShell APIs, new error handling and debugging features.

  • Machine Learning with TensorFlow
    Machine Learning with TensorFlow

    The answer is TensorFlow, a new open source machine learning library from Google. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. Each chapter zooms into a prominent example of machine learning.

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