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616 result(s) for "Programmation (Informatique)"
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The Pattern On The Stone
Danny Hillis offers a clear, easy-to-understand explanation of how computers perform their amazing feats.
Absolute beginner's guide to algorithms : a practical introduction to data structures and algorithms in JavaScript
\"With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same. Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data. Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more. Walk through popular search, sort, and graph algorithms. Understand Big-O notation and why some algorithms are fast and why others are slow. Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms\"-- Provided by publisher.
How to explain coding to a grown-up
\"In this tongue-and-cheek guide, a kid expert explains to young readers how to teach their grown-ups about the basics of coding, including hardware, software algorithms, and debugging\"-- Provided by publisher.
The pattern on the stone : the simple ideas that make computers work
Danny Hillis offers a clear, easy-to-understand explanation of how computers perform their amazing feats.
Why learn coding?
\"Coding is an important skill for programmers. But it's important for other people too. This title discusses the benefits of learning to code and why it's a good skill for all.\"-- Provided by publisher.
Advances in parallel computing technologies and applications
Recent developments in parallel computing mean that the use of machine learning techniques and intelligence to handle the huge volume of available data have brought the faster solutions offered by advanced technologies to various fields of application.This book presents the proceedings of the Virtual International Conference on Advances in.
Coding all-in-one
\"Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it's applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer--Dummies makes it easy.\" -- Description provided by publisher.
Object-oriented programming in Python
Learn Object-oriented programming in Python with practice exercises and carefully designed video sessions. Understand the concepts of OOPs in Python through this intermediate-level course that lets you master OOPs programming online. About This Video: High-definition video training with exercises and assignments included, works on Mac or Windows. This course lets you master OOP concepts, classes, lists, functions, abstraction and inheritance. Self-paced learning with exercises, assignments, solutions and quizzes for better understanding. In Detail: Python is a fantastic OOP language that lets you use functional and OOP paradigms. Python offers several benefits compared to other programming languages like Java, C++ or R. It is a dynamic language, with high-level data types. Python is easier to learn for beginners as its codes are more readable and intuitive. This course is designed to take you through the fundamentals of OOPs and understanding how it works. During this course, you will learn about important concepts such as classes, objects, abstraction, method overloading, and inheritance in sufficient detail. The course will also take you through the concepts of objects and attributes, mathematical operators, callable functions, encapsulation, inheritance and method resolution comprehensively. The course explains the OOP paradigm and lets you create class hierarchies using the OOP design process. By the end of the course, you will be able to design and implement Python programs for complex issues and make good use of the OOP features like classes and inheritance and apply your knowledge completing assignments that simulate real-world scenarios. All resources are available at GitHub.