Introducing the Scientific Programming School Android App. Get FREE interactive courses on the Scientific Programming School’s mobile learning app!
The Scientific Programming School App is an interactive learning app for Instructors, students and professionals interested in Linux, Devops, HPC and Data Sciences.
The app is designed for programming enthusiasts and computer science students to help guide them with the aspects of scientific programming such as data structures, algorithms, methods/functions, exception handling, functional programming, object-oriented programming, regular expressions, variables and operators, conditional statements and loops, arrays, classes and objects, encapsulation, polymorphism, and inheritance, abstract classes and Interfaces, anonymous and Inner Classes, threads.
• Free courses. Get all the new, in-progress beta and completed FREE courses.
• Ad-free experience. Learn lessons without distraction, no add.
• Unlimited code runs. Run code as many times as you want in our code editor.
• Break the rule. Follow the lessons in any order you want.
Get FREE courses made available by the Scientific Programming Team. All in-progress, beta and in-development courses can be accessed from the app. No registration required!
The Scientific Programming School is an interactive programming learning app for Instructors, students and professionals interested in Linux, Devops, HPC and Data Sciences. It supports all three Linux OS flavours (Ubuntu, RHEL and SuSE), Windows Power Shell and 50+ programming languages including the commercial ones like C# and so on.
You get all the FREE courses made available by the Scientific Programming School in this app. Feel free to contact us regarding improvement, suggestions or to report any bugs using our website.
We believe sharing knowledge is the most wonderful human capability. Sharing your skills and knowledge is a powerful and generous way to give back and change the world for the better!
We hope that you find all our content useful for yourself and leave positive feedback for our work.
Learn more at https://app.scientificprogramming.io/