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Inside the Code: Unraveling How Languages Like C, C++, Java, JavaScript - kalpatru - 02-04-2024
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Inside the Code: Unraveling How Languages Like C, C++, Java, JavaScript, and Python Work
English | January 15, 2024 | ISBN: N/A | ASIN: B0CSH4HZ74 | 326 pages | EPUB | 0.49 Mb
"Inside the Code: Unraveling How Languages Like C, C++, Java, JavaScript, and Python Work" is a comprehensive guide that delves into the inner workings of some of the most influential programming languages in the tech world. This book is designed to bridge the gap between basic programming knowledge and a deeper understanding of how languages like C, C++, Java, JavaScript, and Python actually function under the hood.
Starting with C, often regarded as the mother of modern programming languages, the book explores its powerful low-level capabilities and how it interacts closely with hardware, providing a foundation for understanding memory management and system operations. The journey continues with C++, an extension of C, where you'll discover the intricacies of object-oriented programming, encapsulation, polymorphism, and inheritance, illustrating how C++ builds complex functionality on C's framework.
The section on Java transports readers into the world of high-level programming, focusing on Java's platform-independent nature. Here, you'll learn about the Java Virtual Machine (JVM) and how Java achieves its famous "write once, run anywhere" capability, making it a staple in cross-platform applications.
Shifting gears to JavaScript, the book highlights its role as the backbone of web development. You'll understand how JavaScript, initially designed for client-side scripting, has evolved to support server-side technologies, and its asynchronous programming features that make it ideal for responsive web applications.
Python, known for its simplicity and readability, concludes the exploration. This section demystifies Python's dynamic typing and interpretable nature, and how these features make it a go-to language for rapid application development and prototyping, as well as its widespread use in data science and machine learning.
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