Python Programming Techniques


Python Programming Techniques
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Python Programming Techniques


Python Programming Techniques
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Author : Lance Gifford
language : en
Publisher: Speedy Publishing LLC
Release Date : 2014-04-13

Python Programming Techniques written by Lance Gifford and has been published by Speedy Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-13 with Computers categories.


"Python Programming Techniques" is a book that is ideal for persons that are interested in learning about the basics of Python programming before they move on to learn more advanced techniques offered by the program. The book is not for those who have no interest at all in python programming. It is specifically geared for those individuals that have a need to learn how it all works whether it is for their job or for scholastic purposes. Coding and programming can be tricky and this text explains how the pitfalls can be avoided when in the long run.



Advanced Python 3 Programming Techniques


Advanced Python 3 Programming Techniques
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Author : Mark Summerfield
language : en
Publisher: Pearson Education
Release Date : 2009-02-13

Advanced Python 3 Programming Techniques written by Mark Summerfield and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-13 with Computers categories.


This short cut is taken from Programming in Python 3: A Complete Introduction to the Python Language (Addison-Wesley, 2009) and provides self-containedcoverage of Python’s advanced features. Most of the techniques covered arenot needed every day, but in the right circumstances they can make a crucialdifference, allowing us to write clean and straightforward code rather thanhaving to resort to hacks and workarounds to achieve what we need. The shortcut explains a range of procedural, object-oriented, and functional-style techniques,and the information provided will be a considerable addition to mostPython programmers’ toolboxes.



Python Programming Techniques


Python Programming Techniques
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Author : Lance Gifford
language : en
Publisher:
Release Date : 2014-06-24

Python Programming Techniques written by Lance Gifford and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-24 with Computers categories.


"Python Programming Techniques" is a book that is ideal for persons that are interested in learning about the basics of Python programming before they move on to learn more advanced techniques offered by the program. The book is not for those who have no interest at all in python programming. It is specifically geared for those individuals that have a need to learn how it all works whether it is for their job or for scholastic purposes. Coding and programming can be tricky and this text explains how the pitfalls can be avoided when in the long run.



Python


Python
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Author : Charlie Masterson
language : en
Publisher: E.C. Publishing via PublishDrive
Release Date : 2017-01-26

Python written by Charlie Masterson and has been published by E.C. Publishing via PublishDrive this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Computers categories.


Have you been coding for awhile now, but could still use some useful Python coding tips? Do you have some basic knowledge with Python and want to learn more? If you answered yes to any of these questions, then look no further - this book is for you. In this Definitive Python Intermediate Level Guide, you’re about to discover... Several different tips and tricks to help improve your work with Python. You will find coding in each chapter that helps with a certain application each chapter will cover a different tip, and will have different coding. Here is a Preview of What You'll Learn... How to change colors using Python for better looking interfaces Accessing E-mails and Text messages How to manipulate images Scheduling and timing programs ... And much, much more! Other Benefits of owning this book: Gain more knowledge about the capabilities of the Python programming language Learn the intermediate essentials of Python in order to gain the confidence to tackle more complex topics Gain the critical steps in your path towards Python programming mastery By implementing the lessons in this book, not only would you learn one of today’s popular computer language, but it will serve as your guide in accomplishing all your Python goals – whether as a fun hobby or as a starting point into a successful and long term programming career.



Mastering Python Programming


Mastering Python Programming
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Author : Ed Norex
language : en
Publisher: Independently Published
Release Date : 2024-02-12

Mastering Python Programming written by Ed Norex and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Computers categories.


"Mastering Python Programming" is a detailed exploration into the advanced use of Python, structured to elevate programmers' expertise through a deep dive into both fundamental and sophisticated aspects of the language. This guide is split into two volumes, each focusing on a distinct level of Python programming skills. The first volume introduces essential techniques, aiming to build a strong foundation in Python programming. It covers topics such as list comprehensions, lambda functions, the itertools module, decorators, and the datetime module, providing readers with the knowledge to write clean, efficient, and elegant code. This is the second volume of the comprehensive guide designed for Python programmers eager to explore the advanced facets of the language. It delves into sophisticated programming techniques and concepts, offering a deep dive into functional programming, dynamic code execution, asynchronous programming with Asyncio, and much more. Each chapter is meticulously crafted to enhance understanding and mastery over complex topics such as memory management, performance optimization, and effective use of Python's powerful libraries like NumPy and Pandas for data-intensive tasks. From creating efficient, testable code with functional programming principles to managing resources with context managers, and optimizing Python applications for speed and efficiency, this volume covers a broad spectrum of advanced topics. It also explores the practical applications of Python in developing robust command-line interfaces, handling various data serialization formats effectively, and employing Python's typing system to write more readable and maintainable code. This book is an indispensable resource for Python developers looking to elevate their coding skills, write more sophisticated programs, and optimize performance for professional-grade software development. Throughout this book, the author has meticulously curated techniques, patterns, and best practices, aiming to transform readers' approach to Python programming. By navigating through the less-traveled paths of Python, the book reveals powerful features and subtle intricacies that enable readers to master efficient and sophisticated coding techniques. From enhancing code reusability with decorators to managing data structures and optimizing Python's performance, the book offers a comprehensive coverage that prepares readers to tackle complex challenges and innovate with Python. Overall, "Mastering Python Programming" serves as an invaluable resource for Python programmers seeking to deepen their understanding and mastery of the language. It promises to inspire, challenge, and transform its readers by unveiling the art and secrets of Python programming, making it an essential read for anyone looking to excel in Python.



Advanced Python Programming


Advanced Python Programming
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Author : Quan Nguyen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-25

Advanced Python Programming written by Quan Nguyen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-25 with Computers categories.


Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge libraries Key FeaturesBenchmark, profile, and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook Description Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learnWrite efficient numerical code with NumPy, pandas, and XarrayUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersOptimize your machine learning models with JAXImplement multithreaded, multiprocessing, and asynchronous programsSolve common problems in concurrent programming, such as deadlocksTackle architecture challenges with design patternsWho this book is for This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.



Python In Depth


Python In Depth
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Author : Ahidjo Ayeva
language : en
Publisher: BPB Publications
Release Date : 2020-10-06

Python In Depth written by Ahidjo Ayeva and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Computers categories.


Build it with Python, the popular and batteries-included programming tool Key Features _ Get familiar with the fundamentals of Python. _ Understand the OOP paradigm and learn to write your custom object classes. _ Explore tools and techniques to measure code execution for Performance Optimization. _ Understand how Python is used in the main Cryptographic mechanisms. Description ÒPython In-DepthÓ gives you a detailed presentation of the possibilities for solving everyday problems, even complex ones using Python. You will begin by setting up Python in your system and then learn about the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming, such as the built-in data types, functions, objects and classes, files, etc. You will then explore the different programming paradigms such as OOP, Functional, and Concurrent, and find the best approach given a situation. You will also learn how to utilize an interchange format to exchange data and understand how to carry out performance optimization, effective debugging, and security, among other techniques. Towards the end, you will enjoy two chapters dedicated to two domains where Python usage is currently very strong: Data Science and Web Development. What will you learn _ Learn how to improve your Python Code Quality. _ Explore the techniques and frameworks for Python GUI Programming. _ Solve Data Science and Machine Learning problems using Python. _ Get familiar with Python web frameworks; Django and Flask. Who this book is for This book is for anyone who is new to Software Development and wants to learn Python. Existing Python users can also use this book for a quick reference for the fundamentals and the features introduced in Python 3.7. Table of Contents 1. Getting Started with Python 2. Program Flow and Error Handling 3. Functions, Modules, and Functional Programming 4. Useful Modules and Libraries 5. Object Orientation 6. Decorators and Iterators 7. Files and Data Persistence 8. Context Managers 9. Performance Optimization 10. Cryptography 11. Concurrent Execution 12. Logging and Debugging 13. Code Style and Quality Assurance 14. Code Packaging and Dependencies 15. GUI Programming 16. Web Development 17. Data Science



Beyond The Basic Stuff With Python


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


Python
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Author : Charlie Masterson
language : en
Publisher:
Release Date : 2017

Python written by Charlie Masterson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Have you been coding for awhile now, but could still use some useful Python coding tips? Do you have some basic knowledge with Python and want to learn more?If you answered yes to any of these questions, then look no further - this book is for you.In this Definitive Python Intermediate Level Guide, you’re about to discover...Several different tips and tricks to help improve your work with Python. You will find coding in each chapter that helps with a certain application each chapter will cover a different tip, and will have different coding.Here is a Preview of What You'll Learn...How to change colors using Python for better looking interfacesAccessing E-mails and Text messagesHow to manipulate imagesScheduling and timing programs... And much, much more!Other Benefits of owning this book:Gain more knowledge about the capabilities of the Python programming languageLearn the intermediate essentials of Python in order to gain the confidence to tackle more complex topicsGain the critical steps in your path towards Python programming masteryBy implementing the lessons in this book, not only would you learn one of today’s popular computer language, but it will serve as your guide in accomplishing all your Python goals – whether as a fun hobby or as a starting point into a successful and long term programming career.



Python 3 Object Oriented Programming


Python 3 Object Oriented Programming
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Author : Dusty Phillips
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-08-20

Python 3 Object Oriented Programming written by Dusty Phillips and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-20 with Computers categories.


Unleash the power of Python 3 objects About This Book Stop writing scripts and start architecting programs Learn the latest Python syntax and libraries A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3 Who This Book Is For If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply object-oriented programming in Python to design software, this is the book for you. What You Will Learn Implement objects in Python by creating classes and defining methods Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface Extend class functionality using inheritance Understand when to use object-oriented features, and more importantly when not to use them Discover what design patterns are and why they are different in Python Uncover the simplicity of unit testing and why it's so important in Python Grasp common concurrency techniques and pitfalls in Python 3 Exploit object-oriented programming in key Python technologies such as Kivy and Django. Object-oriented programming concurrently with asyncio In Detail Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax. Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception. Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software. You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program. You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy. This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published. Style and approach Throughout the book you will learn key object-oriented programming techniques demonstrated by comprehensive case studies in the context of a larger project.