Programming languages (Electronic computers)
Label
Programming languages (Electronic computers)
Name
Programming languages (Electronic computers)
Actions
Incoming Resources
- PROGRAMMING ANDROID WITH KOTLIN, achieving structured concurrency with coroutines. /
- Undocumented secrets of MATLAB-Java programming, Yair Altman
- Praxiswissen TYPO3 CMS 9 LTS, Robert Meyer & Martin Helmich
- The node craftsman book, an advanced node.js tutorial, Manuel Kiessling
- C++ 20 STL cookbook, leverage the latest features of the stl to overcome real-world problems, Bill Weinman
- Rust high performance, learn to skyrocket the performance of your Rust applications, Iban Eguia Moraza
- Introducing Vala programming, a language and techniques to boost productivity, Michael Lauer
- Swift for the really impatient, Matt Henderson, Dave Wood
- Mark Bates on Go database frameworks and tools, SQL, Redix, and Bolt, Mark Bates
- Options and derivatives programming in C++23, algorithms and programming techniques for the financial industry, Carlos Oliveira
- Foundations of quantum programming, Mingsheng Ying
- Ansible for Real-Life Automation, A Complete Ansible Handbook Filled with Practical IT Automation Use Cases /, Gineesh Madapparambath
- Data manipulation in Python, Meta Brains
- Sbt in action, Josh Suereth and Matthew Farwell
- Programming with Rust, Donis Marshall
- Get programming with Go, Nathan Youngman and Roger Peppé
- Flutter for beginners, cross-platform mobile development from hello, world! to app release with Flutter 3.10+ and Dart 3.x, Thomas Bailey, Alessandro Biessek ; foreword by Trevor Wills
- The complete Solidity course, zero to advanced for Blockchain and Smart Contracts
- Julia as a second language, general purpose programming with a taste of data science, Erik Engheim
- Programmieren lernen mit Python, Allen B. Downey, Stefan Fröhlich, Dinu C. Gherman
- Robust shell scripting, mastering portable and robust scripting with the POSIX Shell, with Arnold Robbins
- Beginning Groovy and Grails, from Novice to Professional, Christopher M. Judd, Joseph Faisal Nusairat, and James Shingler
- Learn data analysis with Python, lessons in coding, A.J. Henley, Dave Wolf
- Beginning ballerina programming, from novice to professional, Anjana Fernando, Lakmal Warusawithana
- Learning Regular Expressions, Mike McMillan
- JavaScript regular expressions, leverage the power of regular expressions to create an engaging user experience, Loiane Groner, Gabriel Manricks
- Eclipse modeling project, a domain-specific language toolkit, Richard C. Gronback
- Programming basics, using Microsoft Visual Basic, C++, HTML, and Java, Todd Knowlton [and others]
- JavaScript, the definitive guide, David Flanagan
- Programming Rust, fast, safe systems development, Jim Blandy and Jason Orendorff
- Sieben Wochen, sieben Sprachen, Verstehen Sie die modernen Sprachkonzepte, Bruce A. Tate ; Deutsche Ubersetzung von Peter Klicman
- Domain-specific languages, Martin Fowler
- R cookbook, Paul Teetor
- Faster, smarter, Jim Buyens
- Python cookbook, edited by Alex Martelli, Anna Martelli Ravenscroft, and David Ascher
- Learning MySQL, Seyed M.M. "Saied" Tahaghoghi and Hugh E. Williams
- Études for Erlang, companion exercises for introducing Erlang, J. David Eisenberg
- Modern C++ for absolute beginners, a friendly introduction to C++ programming language and C++11 to C++20 standards, Slobodan Dmitrović
- The "Oslo" modeling language, draft specification, October 2008, David Langworthy, Brad Lovering, and Don Box
- Borland C++ Builder 6 Developer's Guide
- Text analytics with Python, a practical real-world approach to gaining actionable insights from your data, Dipanjan Sarkar
- Masterminds of programming, edited by Federico Biancuzzi and Shane Warden
- Reguläre Ausdrücke, Jeffrey E.F. Friedl
- Enterprise Curl, Sheehan, Paul
- Sams teach yourself beginning programming in 24 hours, Greg Perry
- Elixir in action, Saša Jurić
- Julia 1.0 programming cookbook, over 100 numerical and distributed computing recipes for your daily data science workflow, Bogumił Kamiński, Przemsław Szufel
- Python for data science for dummies, by John Paul Mueller and Luca Massaron
- Dynamic SQL, applications, performance, and security in Microsoft SQL server, Edward Pollack
- R programming for bioinformatics, Robert Gentleman