Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. What you will learn Set up tools to effectively work in a development environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python Who this book is for This book will appeal to team leads, software architects and senior software engineers who would like to work on their legacy systems to save cost and improve efficiency. A strong understanding of Programming is assumed. | Author: Mariano Anaya | Publisher: Packt Publishing | Publication Date: Aug 30, 2018 | Number of Pages: 332 pages | Language: English | Binding: Paperback | ISBN-10: 1788835832 | ISBN-13: 9781788835831

Description If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer...

Book Synopsis Follows a fast paced coding bootcamp style structure Features 10 Python projects Covers skills necessary for several types of jobs Authored by a seasoned Python Bootcamp instructor From the Back Cover Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten-week coding bootcamp course, you'll learn key concepts and gain hands-on experience through weekly projects. Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generator

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Unlock the world of programming with "Learn Python 3 the Hard Way," a comprehensive guide designed for beginners eager to master Python. This book offers a hands-on approach through 52 meticulously crafted exercises that will have you coding in no time. - **Structured Learning**: Follow a proven system developed by Zed Shaw, trusted by millions of learners. - **Interactive Exercises**: Engage with the material by typing code directly, fixing mistakes, and running programs. - **Video Support**: Access over 5 hours of instructional videos that demonstrate coding techniques in real-time. - **Comprehensive Topics**: Cover essential programming concepts including variables, data structures, object-oriented programming, and more. - **Practical Applications**: Learn to develop basic games and we

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others. � Author: Magnus Lie Hetland � Publisher: Apress � Publication Date: Sep 04, 2

About the Book This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you'll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x. Book Synopsis Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Key Features Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve

Create Popular and Profitable Apps In Python! Are you curious about Python? Do you want to get started in computer programming with this easy and powerful language? Would you like to join the massive online community of Python users and developers? If so, Python - The Comprehensive Guide to Python Programming for Beginners is the book you've been waiting for! It includes thorough, complete instructions for all of the basic aspects of Python. You'll undertake a variety of exercises, but don't worry - the answers are in the back! Did you know that programmers have written many of today's most popular applications (like YouTube) in the Python language? It's true - when you get the solid grounding in Python this book offers, you'll be ready to enter the real world of power programming. This ob

Programmers who endure and succeed amidst swirling uncertainty and nonstop pressure share a common attribute: They care deeply about the practice of creating software. They treat it as a craft. They are professionals. In The Clean Coder: A Code of Conduct for Professional Programmers, legendary software expert Robert C. Martin introduces the disciplines, techniques, tools, and practices of true software craftsmanship. This book is packed with practical advice–about everything from estimating and coding to refactoring and testing. It covers much more than technique: It is about attitude. Martin shows how to approach software development with honor, self-respect, and pride; work well and work clean; communicate and estimate faithfully; face difficult decisions with clarity and honesty; and u

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Advanced Metaprogramming in Classic C++ aims to be both an introduction and a reference to C++ template metaprogramming (TMP); TMP is presented in the book as a set of techniques that will bring a new style in C++ and make code exceptionally clear and efficient. The book deals with language aspects, design patterns, examples and applications (seen as case studies). Special emphasis is put on small reusable techniques that will improve the quality of daily work. What makes the book exceptional is the level of understanding of the concepts involved imparted by the author. This is not just a rote overview of metaprogramming. You will truly understand difficult topics like static assertions, how to write metafunctions, overload resolution, lambda expressions, and many others. More than that, y

Boost your Python journey from zero to working code with a clear, beginner-friendly, step-by-step path you can start using from Day One. - Structured to build concepts in a logical order, with hands-on exercises and real projects - Focus on writing clean, working code from scratch and debugging confidently - Practical, project-based approach that reinforces learning through repetition and application - Covers core programming concepts in an accessible way, with guided examples - Brand: Independently Published; Category: Books/Print Books This book helps you move from confusion to confident coding with a straightforward, no-fluff plan you can rely on as you learn.

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers. Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon ar

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey Features Leverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Book DescriptionMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights i

OpenCV with Python is an essential guide for anyone who wants to dive into the world of computer vision and learn how to use the OpenCV library with Python. Through clear explanations and practical examples, you will learn how to manipulate images and videos, detect objects, recognize shapes, analyze images, work with stereo cameras, and much more. Whether you are a beginner or already familiar with computer vision, this book gives you the foundations and techniques you need to understand OpenCV and apply it to real projects. It covers OpenCV installation, image processing, object detection, image analysis, stereo vision, 3D reconstruction, and object tracking. A practical, accessible book for learning computer vision with Python and OpenCV.

Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning Author: Mr Hein SmithPublisher: CreateSpace Independent Publishing PlatformPublication Date: November 23, 2018Number of Pages: 78 pagesLanguage: EnglishBinding: PaperbackISBN-10: 172983308XISBN-13: 9781729833087

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Python Data Analysis Author: Ivan IdrisPublisher: Packt PublishingPublication Date: Oct 31, 2014Number of Pages: 348 pagesBinding: Paperback or SoftbackISBN-10: 1783553359ISBN-13: 9781783553358

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