Architect your own benchmarks KEY FEATURES ● Learn implementation and design of Memcached. ● Understand programming practices and structures across open-source systems. ● Understand the principles of LRU cache management and slab allocation. ● Discover real-world applications of Memcached in industry giants. DESCRIPTION Open-source development has been the single most significant contributor to the development community, and the contributions are used across the IT landscape including corporations, universities, schools, etc. Despite being highly popular, contributing to open-source and navigating open-source systems has always been challenging. Some reasons could be that most open-source developers hold other day jobs, which might also be their regular work. Memcached is one of the largest commercially and non-commercially used caching systems in the IT world, with a relatively smaller codebase that enables developers to understand the basic skeletal of source code structures while enabling developers to hone their skills towards the development of high-quality production-grade, enterprise-ready open-source software. Most server-based technologies. Open-source development skills enable developers to understand the intricacies of softwares, enabling robust decision-making while choosing technologies over trends and making mature decisions on a day-to-day development basis. This book is for all programming enthusiasts and is designed to be a Source code 101 level book, but it can help developers elevate to architect-level decision-making as well as architects to make solid software decisions while building the systems. WHAT YOU WILL LEARN ● Uncover the secrets of Memcached, a high-performance caching system. ● Learn about security measures safeguarding Memcached's integrity and scalability. ● Understand large-scale use cases of Memcached and how to continue further study of open source systems. ● Students can learn the implementation of most concepts through their journey with a practical approach. WHO THIS BOOK IS FOR This book is designed for software developers, system administrators, and IT professionals who want to delve into the world of Memcached, a high-performance caching system. It is a comprehensive guide to Memcached's architecture, design, and implementation for all programming enthusiasts. TABLE OF CONTENTS 1. Source Code Explorations in Open-Source Systems 2. Getting Started with Memcached Design 3. Design of Event Loop 4. Server Initialization 5. LRU Cache 6. Slab Management 7. Server Authentication 8. Protocol Definitions 9. Background Processes 10. Proxy Server Design and External Storage 11. Using Memcached at Scale 12. Continuation of the Exploration Journey
Deroute the syntactical way and start exploring the language from the source KEY FEATURES ● In-depth practical understanding of CPython's internal workings. ● Step-by-step source code walkthrough utilizing descriptors on source code lines. ● Cutting-edge coverage of the interpreter, GIL, compilation, and memory allocations to help you develop better systems. DESCRIPTION Internals of Python 3.x transform a programmer's learning path by emphasizing the source code over the syntax to teach things from the ground up in nearly the same amount of time and effort. The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects. The chapter on GIL explains how the GIL works, which is halted by a semaphore and a conditional variable. The chapter on Async Python describes how the async module generates coroutines and async functions that can be executed on an event loop and interact through events. After reading this book, you will be more confident to create high-performance code on a day-to-day basis. WHAT YOU WILL LEARN ● Utilize data structures effectively for a variety of application functions. ● Discover how to optimize Python code performance. ● Develop an understanding of memory optimization and how to design programs accordingly. ● Investigate the inner working of GIL and Interpreter in detail. ● Recognize the internals of the garbage collection and reference counting processes. WHO THIS BOOK IS FOR This book is intended for Python practitioners, new coding aspirants, and experienced Python developers who want to construct their frameworks and libraries by investigating tokenizers, parsers, code compilers, interpreters, memory management, GIL, and garbage collection. Prior programming skills in C may help you get the most out of this book. TABLE OF CONTENTS 1. Design of Generic Objects 2. Basic Python Types 3. Iterable Sequence Objects 4. Set and Dictionary 5. Functions and Generators 6. Memory Management 7. Interpreter and Opcodes 8. GIL and Multithreading 9. Async Python 10. Source Code Layout and the Compiler Stages
India’s tech/startup industry today is estimated to be worth over $0.5 trillion, employing over 5 million people. And the stage for this incredible ‘tech-tonic’ rise and transformation of the country into the world’s software powerhouse, is Bengaluru. Being the backdrop to this dramatic transition, Bengaluru has changed irrevocably. The city has been through many avatars—pensioner’s paradise, PSU capital, garden city, India’s Silicon city and pub capital. Once known for secure state and federal government jobs, it is now a buzzing startup hub attracting job-seekers from India and abroad. And the new monikers will continue. From ed-tech to health-tech, mobility to EVs, Bengaluru is at the heart of the multiple shifts underway in the digital era. Truly, it is the city of new beginnings. In Unboxing Bengaluru—the first ever deep-dive into the city—Malini Goyal and Prashanth Prakash ably unravel the city’s journey and the ensuing social, behavioural, technological and consumptive changes. They look at why people are drawn to the city; how the cosmopolitan culture and multi-linguistic society gives it a distinct flavour; the parallel economies that have cropped up; how the influx of young workers have changed the city; and the fault-lines of unplanned and poorly managed growth over the decades. Richly researched and vividly written, Unboxing Bengaluru is filled with absorbing vignettes, extensive reportage and solid data. A fascinating book and a must-read for anyone interested in understanding the city, and indeed, India.
Deroute the syntactical way and start exploring the language from the source KEY FEATURES ● In-depth practical understanding of CPython's internal workings. ● Step-by-step source code walkthrough utilizing descriptors on source code lines. ● Cutting-edge coverage of the interpreter, GIL, compilation, and memory allocations to help you develop better systems. DESCRIPTION Internals of Python 3.x transform a programmer's learning path by emphasizing the source code over the syntax to teach things from the ground up in nearly the same amount of time and effort. The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects. The chapter on GIL explains how the GIL works, which is halted by a semaphore and a conditional variable. The chapter on Async Python describes how the async module generates coroutines and async functions that can be executed on an event loop and interact through events. After reading this book, you will be more confident to create high-performance code on a day-to-day basis. WHAT YOU WILL LEARN ● Utilize data structures effectively for a variety of application functions. ● Discover how to optimize Python code performance. ● Develop an understanding of memory optimization and how to design programs accordingly. ● Investigate the inner working of GIL and Interpreter in detail. ● Recognize the internals of the garbage collection and reference counting processes. WHO THIS BOOK IS FOR This book is intended for Python practitioners, new coding aspirants, and experienced Python developers who want to construct their frameworks and libraries by investigating tokenizers, parsers, code compilers, interpreters, memory management, GIL, and garbage collection. Prior programming skills in C may help you get the most out of this book. TABLE OF CONTENTS 1. Design of Generic Objects 2. Basic Python Types 3. Iterable Sequence Objects 4. Set and Dictionary 5. Functions and Generators 6. Memory Management 7. Interpreter and Opcodes 8. GIL and Multithreading 9. Async Python 10. Source Code Layout and the Compiler Stages
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