Python Programming Techniques

Author : Marcel Neidinger
Publisher : Packt Publishing Ltd
ISBN 13 : 1838640479
Total Pages : 341 pages
Book Rating : 4.77/5 ( download)

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Download or read book Python Network Programming Techniques written by Marcel Neidinger and published by Packt Publishing Ltd. This book was released on 2021-10-08 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become well-versed with network programmability by solving the most commonly encountered problems using Python 3 and open-source packages Key FeaturesExplore different Python packages to automate your infrastructureLeverage AWS APIs and the Python library Boto3 to administer your public cloud network efficientlyGet started with infrastructure automation by enhancing your network programming knowledgeBook Description Network automation offers a powerful new way of changing your infrastructure network. Gone are the days of manually logging on to different devices to type the same configuration commands over and over again. With this book, you'll find out how you can automate your network infrastructure using Python. You'll get started on your network automation journey with a hands-on introduction to the network programming basics to complement your infrastructure knowledge. You'll learn how to tackle different aspects of network automation using Python programming and a variety of open source libraries. In the book, you'll learn everything from templating, testing, and deploying your configuration on a device-by-device basis to using high-level REST APIs to manage your cloud-based infrastructure. Finally, you'll see how to automate network security with Cisco's Firepower APIs. By the end of this Python network programming book, you'll have not only gained a holistic overview of the different methods to automate the configuration and maintenance of network devices, but also learned how to automate simple to complex networking tasks and overcome common network programming challenges. What you will learnProgrammatically connect to network devices using SSH (secure shell) to execute commandsCreate complex configuration templates using PythonManage multi-vendor or multi-device environments using network controller APIs or unified interfacesUse model-driven programmability to retrieve and change device configurationsDiscover how to automate post modification network infrastructure testsAutomate your network security using Python and Firepower APIsWho this book is for This book is for network engineers who want to make the most of Python to automate their infrastructure. A basic understanding of Python programming and common networking principles is necessary.

Author : Quan Nguyen
Publisher : Packt Publishing Ltd
ISBN 13 : 1801817774
Total Pages : 606 pages
Book Rating : 4.76/5 ( download)

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Download or read book Advanced Python Programming written by Quan Nguyen and published by Packt Publishing Ltd. This book was released on 2022-03-25 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Dmitry Zinoviev
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680509209
Total Pages : 211 pages
Book Rating : 4.05/5 ( download)

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Download or read book Pythonic Programming written by Dmitry Zinoviev and published by Pragmatic Bookshelf. This book was released on 2021-09-23 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and mishandled user input. Discover rare language features, like rational numbers, set comprehensions, counters, and pickling, that may boost your productivity. Discover how to apply general programming patterns, including caching, in your Python code. Become a better-than-average Python programmer, and develop self-documented, maintainable, easy-to-understand programs that are fast to run and hard to break. Python is one of the most popular and rapidly growing modern programming languages. With more than 200 standard libraries and even more third-party libraries, it reaches into the software development areas as diverse as artificial intelligence, bioinformatics, natural language processing, and computer vision. Find out how to improve your understanding of the spirit of the language by using one hundred pythonic tips to make your code safer, faster, and better documented. This programming style manual is a quick reference of helpful hints and a random source of inspiration. Choose the suitable data structures for searching and sorting jobs and become aware of how a wrong choice may cause your application to be completely ineffective. Understand global and local variables, class and instance attributes, and information-hiding techniques. Create functions with flexible interfaces. Manage intermediate computation results by caching them in files and memory to improve performance and reliability. Polish your documentation skills to make your code easy for other programmers to understand. As a bonus, discover Easter eggs cleverly planted in the standard library by its developers. Polish, secure, and speed-up your Python applications, and make them easier to maintain by following pythonic programming tips. What You Need: You will need a Python interpreter (ideally, version 3.4 or above) and the standard Python library that usually comes with the interpreter.

Author : Lance Gifford
Publisher : Speedy Publishing LLC
ISBN 13 : 1632873338
Total Pages : 42 pages
Book Rating : 4.30/5 ( download)

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Download or read book Python Programming Techniques written by Lance Gifford and published by Speedy Publishing LLC. This book was released on 2014-04-13 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Author : Mark Summerfield
Publisher : Pearson Education
ISBN 13 : 0321637712
Total Pages : 134 pages
Book Rating : 4.10/5 ( download)

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Download or read book Advanced Python 3 Programming Techniques written by Mark Summerfield and published by Pearson Education. This book was released on 2009-02-13 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ahidjo Ayeva
Publisher : BPB Publications
ISBN 13 : 938932842X
Total Pages : 368 pages
Book Rating : 4.24/5 ( download)

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Download or read book Python In - Depth written by Ahidjo Ayeva and published by BPB Publications. This book was released on 2020-10-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Qingkai Kong
Publisher : Academic Press
ISBN 13 : 0128195509
Total Pages : 482 pages
Book Rating : 4.05/5 ( download)

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Download or read book Python Programming and Numerical Methods written by Qingkai Kong and published by Academic Press. This book was released on 2020-11-27 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice Summaries at the end of each chapter allow for quick access to important information Includes code in Jupyter notebook format that can be directly run online

Author : Dr. Gabriele Lanaro
Publisher : Packt Publishing Ltd
ISBN 13 : 183855369X
Total Pages : 652 pages
Book Rating : 4.92/5 ( download)

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Download or read book Advanced Python Programming written by Dr. Gabriele Lanaro and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.

Author : Lance Gifford
Publisher :
ISBN 13 : 9781632873187
Total Pages : 46 pages
Book Rating : 4.84/5 ( download)

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Download or read book Python Programming Techniques written by Lance Gifford and published by . This book was released on 2014-08-11 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Author : Daniel Zingaro
Publisher : No Starch Press
ISBN 13 : 1718501331
Total Pages : 392 pages
Book Rating : 4.31/5 ( download)

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Download or read book Learn to Code by Solving Problems written by Daniel Zingaro and published by No Starch Press. This book was released on 2021-06-29 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.