Python Tips And Tricks Advanced
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Python Mastery Unleashed: Advanced Programming Techniques
Python Mastery Unleashed: Advanced Programming Techniques is a comprehensive guide to mastering advanced programming techniques in Python. Designed for seasoned Python developers and aspiring programmers alike, this book offers a comprehensive understanding of the advanced programming techniques used by experienced Python developers to build complex systems and applications. The book begins with a review of basic programming principles and data structures in Python, including control structures, data types, and algorithms. It then progresses to advanced topics such as functional programming, object-oriented programming, and concurrency. Throughout the book, readers will learn how to use techniques such as decorators, generators, context managers, and metaclasses to build robust and maintainable Python applications. In addition, the book explores the best practices for testing, debugging, and profiling Python code, as well as strategies for managing code complexity and ensuring code quality. By the end of this book, readers will have a deep understanding of advanced Python programming techniques, and be equipped with the skills needed to build complex Python applications with ease. So if you're looking to take your Python programming skills to the next level, Python Mastery Unleashed: Advanced Programming techniques is the book for you.
Advanced Guide to Dynamic Programming in Python: Techniques and Applications
Elevate your programming skills with the "Advanced Guide to Dynamic Programming in Python: Techniques and Applications." This comprehensive resource empowers you to solve complex problems using one of the most potent algorithmic techniques. Designed for both beginners venturing into dynamic programming and seasoned programmers seeking to refine their problem-solving abilities, this book is your pathway to enhanced programming acumen. Delve into the essentials of dynamic programming by exploring core principles, memoization techniques, and tabulation methods for optimization. Traverse through in-depth chapters on sequence challenges, graph problems, and various optimization tasks, all enriched with Python code examples, practical solutions, and insights into tackling both common and intricate problems. The "Advanced Guide to Dynamic Programming in Python" straddles theoretical understandings and practical executions, equipping you with the comprehensive knowledge needed to apply dynamic programming in diverse real-world scenarios. From grasping foundational concepts to discovering advanced strategies, this book unlocks the full potential of dynamic programming for solving intricate problems efficiently and with confidence. Whether preparing for coding interviews, improving algorithmic thinking, or expanding your programming toolkit, this guide serves as an invaluable asset in your development journey. With the "Advanced Guide to Dynamic Programming in Python," you're not just learning a technique—you're mastering an essential skill set crucial for today's complex programming challenges.
Python for Geeks
Author: Muhammad Asif
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-10-20
Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment Key FeaturesAll code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x releaseLearn how to build modular and object-oriented applications in PythonDiscover how to use advanced Python techniques for the cloud and clustersBook Description Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks. You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book. By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects. What you will learnUnderstand how to design and manage complex Python projectsStrategize test-driven development (TDD) in PythonExplore multithreading and multiprogramming in PythonUse Python for data processing with Apache Spark and Google Cloud Platform (GCP)Deploy serverless programs on public clouds such as GCPUse Python to build web applications and application programming interfacesApply Python for network automation and serverless functionsGet to grips with Python for data analysis and machine learningWho this book is for This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. Developers who want to create reusable modules and Python libraries and cloud developers building applications for cloud deployment will also find this book useful. Prior experience with Python will help you get the most out of this book.