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| pgt computer science: Science and Mathematics Jayant V. Narlikar, 2021-11-29 This book offers an engaging and comprehensive introduction to scientific theories and the evolution of science and mathematics through the centuries. It discusses the history of scientific thought and ideas and the intricate dynamic between new scientific discoveries, scientists, culture and societies. Through stories and historical accounts, the volume illustrates the human engagement and preoccupation with science and the interpretation of natural phenomena. It highlights key scientific breakthroughs from the ancient to later ages, giving us accounts of the work of ancient Greek and Indian mathematicians and astronomers, as well as of the work of modern scientists like Descartes, Newton, Planck, Mendel and many more. The author also discusses the vast advancements which have been made in the exploration of space, matter and genetics and their relevance in the advancement of the scientific tradition. He provides great insights into the process of scientific experimentation and the relationship between science and mathematics. He also shares amusing anecdotes of scientists and their interactions with the world around them. Detailed and accessible, this book will be of great interest to students and researchers of science, mathematics, the philosophy of science, science and technology studies and history. It will also be useful for general readers who are interested in the history of scientific discoveries and ideas. |
| pgt computer science: Public Sector - Job Opportunities Arshdeep Singh Veer, Mansi Barar, Dilpreet Singh, 2020-04-02 In today's era, job seekers keep looks for an efficient way to explore the career opportunities and if the question is about government jobs then this matter becomes even more concerned. Because Government sector in India is always being the very first choice for employment and career. The reason is the luxury, reputation, job security and high salary of these jobs. This book is a complete developed package for job seekers who look their career in the stable government services of India. This book will allow them to explore all the public sector opportunities announced by Government of India and will help to learn how to navigate the appropriate process for different government job applications. Each chapter in this book pinpoint the complete guidelines for the government jobs in a particular public sector. It is not only a path guide for the job seekers to explore the government jobs but it is also a smart tool that will help them to enhance their career in a broadened way. Time to time Government of India announces different public sector jobs at central and state level including Civil Services, Central and States' Public Sector Companies, Banks Autonomous Bodies, Defence Services, Indian Civil Services, Public administration services and other organisations. So it becomes very difficult for an individual to be aware of about all the jobs and get information about how to explore all those jobs. But with the help of this book it will be very easy for him to be informed about all the jobs possibilities in a single bundle. So in this book the reader will learn to find meaningful government jobs in different public sectors that fit to them, and how to best get there. This book has been prepared in such a way that it will be helpful for both the students and faculty. |
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| pgt computer science: The Pythonic Way Sonal Raj, 2021-09-09 Learn to build and manage better software with clean, intuitive, scalable, maintainable, and high-performance Python code. KEY FEATURES ● Comparative analysis of regular and Pythonic coding constructs. ● Illustrates application design paradigms for Python projects. ● Detailed pointers on optimal data processing and application design. ● Highlights accepted conventions for testing and managing production code. DESCRIPTION ‘The Pythonic Way' acquaints you with Python's capabilities beyond basic syntax. This book will help you understand widely accepted Pythonic constructs and procedures, thus enabling you to write reliable, optimized, and modular applications. You'll learn about Pythonic data structures, class and object creation, and more. The book then delves into some of Python's lesser-known but incredibly powerful functionalities such as meta-programming, decorators, context managers, generators, and iterators. Additionally, you'll learn how to accelerate computations by using Pandas Series and Dataframes. You will be introduced to various design patterns that work well with Python applications. Finally, we'll discuss testing frameworks and best practices for testing, packaging, launching, and publishing applications in production environments. This book will empower you as you transition from beginner or competitive Python coding to industry-standard Python software development. Intermediate Python developers will gain a deeper understanding of the language's nuances, enabling them to create better software. WHAT YOU WILL LEARN ● Understand common practices for writing scalable and legible Python code. ● Create robust and maintainable production codebases for time and space performant applications. ● Master effective data processing practices and features like generators and decorators to improve complex computations on large datasets. ● Get familiar with Pythonic design patterns for secure, large-scale applications. ● Learn to organize your project’s code into modules. ● Familiarize yourself with different testing tools and frameworks. WHO THIS BOOK IS FOR This book is a valuable reference manual for novice and intermediate programmers and data scientists to learn about Pythonic standards and conventions. For beginners, this book will get you started with Pythonic thinking. This book will serve as a guide to fine-tune your skills beyond syntax and help build robust Python applications for intermediate Python coders. TABLE OF CONTENTS 1. Introduction to Pythonic Code 2. Pythonic Data Structures 3. Classes and OOP Conventions 4. Python Modules and Metaprogramming 5. Pythonic Décorators and Context Managers 6. Data Processing Done Right 7. Iterators, Generators, and Coroutines 8. Python Descriptors 9. Pythonic Application Design and Architecture 10. Effective Testing for Python Code 11. Production Code Management |
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