Leanpub Header

Skip to main content

Filters

Books

  1. Advanced Python Tips
    Advanced Python Tips
    A Simple Book on Advanced Python concepts
    Rahul Agarwal

    Learning a language is easy. However, learning to write a language and writing a language in an optimized way are two different things.

  2. Beginning Flutter 3.0 with Dart
    Beginning Flutter 3.0 with Dart
    A Beginner to Pro. Learn how to build Advanced Flutter 3.0 Apps
    Sanjib Sinha

    Are you an absolute beginner with no prior knowledge to any programming language? But you want to be an Android or iOS mobile application developer? This book will teach you both. You will learn to build Advanced Flutter Apps, from scratch. You will also learn Dart programming language that runs Flutter.

  3. Datenbanken
    Datenbanken
    Skalierung, Datenmodelle, Cloud
    Christine Koppelt, Lucas Dohmen, INNOQ, Marco Steinke, and Robert Glaser

    Entwickler:innen haben heute eine Vielzahl von Optionen, wenn es um die Wahl einer Datenbank für ihre Anwendung geht. Dieses Buch gibt einen Überblick über Datenmodelle, Konzepte zur Skalierung und Betriebsformen – von relationalen Systemen über dokumenten- und graphbasierte Ansätze bis hin zu Zeitreihen- und Vektordatenbanken. Es bietet Hilfestellung bei der Auswahl und Einordnung für unterschiedliche Anwendungsszenarien.

  4. Programming walkthroughs: Coding with Python and Repl.it

    Once you’ve completed Part 1 and Part 2, you’ll be able to build nearly any project that you want, and deploy it for the world to use. If you’re stuck for ideas, you can go through the examples given in Part 3, which consists of practical tutorials to build everything from web scrapers to chat bots.

  5. Ensemble Programming Guidebook

    Optimizing for best results in outcomes and learning by working on the same problem on the same computer at the same time - co-located or remote. This book sets you off to a good start and helps course-correct when you wonder about the setup that could work for your teams.

  6. The Smartest Way to Learn Python Regular Expressions
    The Smartest Way to Learn Python Regular Expressions
    Learn the Best-Kept Productivity Secret of Code Masters
    Finxter, Zohaib Riaz, and Lukas Rieger

    Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

  7. Software Reviews
    Software Reviews
    Risiken und Probleme in Software zielsicher identifizieren
    Markus Harrer, Christine Koppelt, Gernot Starke, Benjamin Wolf, and INNOQ

    Dieser praktischer Leitfaden zeigt Ihnen, wie langjährig gewachsene Softwaresysteme effektiv analysiert und bewertet werden können.

  8. Guía de Comandos Básicos para la Terminal

    ... conocer como activar este modo super usuario, tengan en cuenta que al activarlo incrementa su nivel de jerarquía en el sistema, es decir , todo lo que hagamos bajo este modo "root" tiene una repercusión en el sistema, recuerden que "Un gran poder conlleva una gran responsabilidad - Tío Ben". Para activar el modo "root" debemos...

  9. Imergindo na JVM
    Imergindo na JVM
    Otavio Santana

    Conhecendo um pouco do funcionamento da JVM

  10. Discrete Mathematical Algorithm, and Data Structure
    Discrete Mathematical Algorithm, and Data Structure
    Major Components of Mathematics, and Computer Science Explained with the help of C, C++, PHP, Java, C#, Python, and Dart
    Sanjib Sinha

    Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

  11. D3 Tips and Tricks v5.x
    D3 Tips and Tricks v5.x
    Interactive Data Visualization in a Web Browser
    Malcolm Maclean

    Tips and tricks for using d3.js (version 5), one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. You can download for FREE or donate to encourage further development if you wish :-).

  12. Software Engineer
    Software Engineer
    A Field Guide to the Profession
    Joel Bryan Juliano

    You can write code. The interview still rejected you. You shipped the feature. You still didn't get promoted. You've been "senior" for years and you're still getting paged for incidents on systems you barely understand. This book is for the gaps — everything around the code that nobody explains and everyone learns the hard way. The inside account of what a technical interviewer is actually evaluating when they ask about your architecture. The difference between maintaining a system and owning it. How to build influence when you have no formal authority. How to stay relevant without burning out or becoming obsolete. Not theory. Not generic advice. Production experience distilled into a map of the profession.

  13. Visual Collaboration Tools
    Visual Collaboration Tools
    for teams building software
    João Rosa, Kenny Baas-Schwegler, Nick Tune, Mathias Verraes, Stefan Hofer, Henning Schwentner, Cédric Pontet, Trond Hjorteland, Pim Smeets, Krisztina Hirth, Gojko Adzic, Zsofia Herendi, Julius Gamanyi, Paul de Raaij, Michael Plöd, Dawn Ahukanna, Gayathri Thiyagarajan, Steve Pereira, Devon Burriss, Nancy Beers, Rich Allen, and Matthew Skelton

    Visual Collaboration Tools is a book for teams building software. It describes tools that help us in our daily job, and also present field stories from different practitioners.

  14. Implementing QuantLib の和訳
    Implementing QuantLib の和訳
    Luigi Ballabio and Aki Sakashita

    Quantitative finance in C++: an inside look at the architecture of the QuantLib library.

  15. Coffee Break NumPy
    Coffee Break NumPy
    A Simple Road to Data Science Mastery That Fits Into Your Busy Life
    Finxter, Lukas Rieger, and Zohaib Riaz

    Fear of missing out on data science and machine learning?This ​eBook ​gives you a fun way to start learning data science with Python. ​It gives you a thorough introduction Python's most important library for data science: NumPy. 100% Based on puzzle-based learning - scientifically proven to generate ​44% better learning retention and ​efficiency.​