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  1. Agile Retrospectives Bingo
    Print your own game!
    Ben Linders

    A fun and serious game to identify and discuss unproductive behavior in retrospective meetings, improve communication and collaboration, and make agile retrospectives more valuable. For agile teams, Scrum masters, agile coaches, and consultants leading agile transformations.

  2. Practical Virtualization for Learners
    Get Started with Cloud Computing and Tools - VirtualBox, Vagrant, Wireshark, AWS, Azure, GCP, Ansible, Docker, and PostgreSQL
    Okki Lee

    We tend to learn more in the process of building something. However, it is difficult for learners to get started and to make hands dirty in cloud computing. This book presents the reader with a practical guide, from creating multiple virtual machines to running PostgreSQL replication on them, not trivial or too daunting.

  3. My very first book
    Andrew Munro

    This is a very exciting book

  4. No Description Available
  5. Build state-of-the-art static websites easily using a modern technology stack.

  6. Do you know what are the tools programmers use?Do you know how to write such tools?The book implements those tools for a very simple language and does so with less than 150 pages...

  7. At tage og at give
    Win Win
    Lars Mathiasen

    Balance & Win-WinLev et liv i balance med win-win! Vil vi ikke alle gerne have mere ro og balance i livet. Ro i sindet uden stress og pres der tager energien. Et sind der er i ro og som ikke larmer så meget. Dette er ikke hele løsningen. langt fra, men det er et lille men stærkt skridt på vejen. Det er efter den indsigt jeg driver M-ZEN FOUNDATION.

  8. The Hitchhiker’s Guide to Plotnine
    Don’t panic and create beautiful plots with Python
    Jodie Burchell and Mauricio 'Pacha' Vargas Sepúlveda

    This book will help you easily build beautiful plots in Python using the powerful plotnine package, which has been adapted from the popular ggplot2 package in R. If you'd like to create highly customised plots, including replicating the styles of XKCD and fivethirtyeight, this is your book.

  9. Computer graphics in Python
    Advanced vector graphics using Pycairo and Python
    Martin McBride

    Pycairo is a great library for creating high quality vector graphics in Python. This book covers the full features of the library in detail, with practical code examples and illustrations, from an author with many years experience in computer graphics software.

  10. Libelf by Example
    A tutorial introduction to the ELF(3) & GELF(3) APIs.
    Joseph Koshy

    Create applications that can read and write ELF executables, shared libraries and object files. Royalties from the purchases of this tutorial go to the NetBSD Foundation.

  11. Algorithmen und Datenstrukturen in ES6+
    Algorithmen und Datenstrukturen verständlich in ES6+ implementiert und erklärt mit Aufgaben und Lösungen
    pandaquests

    Algorithmen und Datenstrukturen in ES6+ geschrieben und verständlich erklärt

  12. Chander
    Charles, A Dragon: Beginnings
    Gary Henderson

    Chander happens upon a town being burnt down by a man ... or something that looks like a man.He stops the destruction, but only by leading the beast on a chase that he barely survives. Is it gone?Again it attacks, searching for him by name and with a fury that puts many in danger. How can this ancient evil be defeated?

  13. Red Hat Enterprise Linux 8 Essentials
    Learn to install, administer and deploy RHEL 8 systems
    Neil Smyth

    Red Hat Enterprise Linux 8 Essentials is designed to provide detailed information on the installation, use and administration of the Red Hat Enterprise Linux 8 distribution.

  14. Python's best kept secret is its built in support for functional programming. Even better, it allows functional programming to be blended seamlessly with procedural and object oriented coding styles. This book explains what functional programming is, how Python supports it, and how you can use it to write clean, efficient and reliable code.

  15. Hacker's Guide to Machine Learning with Python
    Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
    Venelin Valkov

    This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!