A Handbook Of Python 4 0 And Beyond Syntax

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A Handbook Of Python 4 0 And Beyond Syntax

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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :

A Handbook Of Python 4 0 And Beyond Syntax written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

"A Handbook of Python 4.0 and Beyond Syntax" is a comprehensive guide designed for absolute beginners eager to learn the fundamentals of Python programming. This book introduces readers to the syntax and structure of Python 4.0, providing clear explanations and practical examples to help readers grasp key concepts. From basic language features to advanced topics such as type hinting, concurrency, and machine learning integration, this handbook covers a wide range of topics essential for building a strong foundation in Python programming. With its accessible language and hands-on approach, this book empowers beginners to dive into the world of Python programming with confidence and enthusiasm, setting them on the path to becoming proficient Python developers.

Beyond The Basic Stuff With Python

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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2020-12-16

Beyond The Basic Stuff With Python written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Computers categories.

BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher

Python Automation For Beginners A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-03-29

Python Automation For Beginners A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.

This book offers a comprehensive introduction to Python programming and automation, designed specifically for individuals with little to no prior coding experience. It provides detailed, methodical instruction that combines foundational concepts with practical applications, allowing readers to build technical proficiency from the ground up. Through a structured progression of topics, the text covers installing and configuring Python, understanding basic syntax, and developing control flow strategies using conditionals and loops. The book further explores the creation of modular code through functions and modules, manages file and directory operations, and demonstrates how to integrate external libraries to enhance automation capabilities. Readers will benefit from clear explanations, real-world examples, and step-by-step guidance aimed at developing robust, maintainable code. This treatment of essential programming concepts, error handling, and practical project implementation equips newcomers with the skills required to tackle a variety of automation challenges efficiently and confidently.

Python Basics Made Simple A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-03-25

Python Basics Made Simple A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.

Python Basics Made Simple: A Practical Guide with Examples provides a comprehensive and technical introduction to Python programming. Designed for beginners and those seeking to refresh foundational skills, the book emphasizes clear explanations and concrete examples to facilitate the understanding of code syntax, programming constructs, and software development principles. The content is organized into logically structured chapters that gradually build the reader’s expertise, starting with the setup of a Python development environment and progressing through basic programming constructs, data types, control structures, functions, and advanced topics such as file handling and object-oriented programming. Each section is clearly articulated and supported by practical examples, enabling the reader to apply the techniques directly to real-world programming tasks. Through a systematic presentation of Python's features and best practices, this guide equips learners with the tools necessary to write efficient and reliable code. The book focuses on technical accuracy and practical application, ensuring that readers are well-prepared to tackle common programming challenges and develop scalable software solutions.

Python Data Science Handbook

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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Python For Everybody

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Author : Charles R. Severance
language : en
Publisher:
Release Date : 2016-04-09

Python For Everybody written by Charles R. Severance and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-09 with categories.

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

A Student S Guide To Python For Physical Modeling

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Author : Jesse M. Kinder
language : en
Publisher: Princeton University Press
Release Date : 2021-08-03

A Student S Guide To Python For Physical Modeling written by Jesse M. Kinder and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Science categories.

A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This guide introduces a wide range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Animation Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

Coding For Kids A Beginner S Guide To Teaching Young Learners Programming

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Author : John Kyan
language : en
Publisher: Field Books
Release Date :

Coding For Kids A Beginner S Guide To Teaching Young Learners Programming written by John Kyan and has been published by Field Books this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

In an era where technology permeates every aspect of our lives, coding has become a fundamental skill, akin to literacy and numeracy. This book, "Coding for Kids: A Beginner's Guide to Teaching Young Learners Programming," serves as a gateway to the fascinating world of computer programming for young minds. Our aim is to make coding accessible and engaging for children aged 8-12, fostering their curiosity and nurturing their creativity. Through carefully crafted lessons, hands-on activities, and interactive projects, we guide them through the fundamentals of coding, empowering them to become confident coders and problem solvers. This book caters to both parents and educators, providing clear instructions, age-appropriate examples, and valuable resources that can be readily implemented in both classroom and home settings. Our goal is to make learning coding a joyful experience, igniting a passion for technology and paving the way for future success in a rapidly evolving digital world.

Data Manipulation With Python Step By Step A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-17

Data Manipulation With Python Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.

Data Manipulation with Python Step by Step: A Practical Guide with Examples offers a clear and systematic approach to mastering data handling tasks in Python. The book begins with essential programming fundamentals, ensuring that readers, regardless of background, acquire a thorough grounding in variables, data types, control flow, and function definition. This foundation is progressively expanded to encompass the use of built-in data structures and the effective management of input and output across various file formats. As the book advances, it introduces the pandas library, providing detailed guidance on leveraging DataFrames and Series for efficient data organization, transformation, and analysis. Readers learn practical solutions for common challenges such as importing data, cleaning and standardizing datasets, handling missing or inconsistent values, and working with date and time information. Each concept is presented with clear explanations and relevant examples that facilitate immediate application to real-world data scenarios. Designed for students, analysts, and professionals, this book balances accessibility with technical rigor. By integrating practical tutorials and a complete project, it enables readers to translate foundational concepts into robust workflows for data preparation, exploration, and reporting. Upon completion, readers will be prepared to manage diverse data tasks with confidence, optimizing Python’s capabilities for effective data manipulation and analysis.

A Primer On Scientific Programming With Python

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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2014-08-01

A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012