Python Asyncio Interview Questions
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Python Asyncio Interview Questions
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Author : Jason Brownlee
language : en
Publisher: SuperFastPython.com
Release Date :
Python Asyncio Interview Questions written by Jason Brownlee and has been published by SuperFastPython.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
How well do you know asyncio in Python? Python includes changes to the language itself to support coroutines as first-class objects and the asyncio module provides an API for developing asynchronous programs. Asyncio is challenging to learn for beginners and challenging to use for experts and beginners alike. Asynchronous programming is an alternative paradigm that is quite different from the classical imperative and object-oriented programming paradigms that we are useful. * Do you know how to cancel an asynchronous task? * Do you know how to execute a list of coroutines concurrently? * Do you know how to execute blocking calls in an asyncio program? Discover 150+ interview questions and their answers on Python asyncio. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your asyncio and coroutine skills in Python today.
Python Multiprocessing Interview Questions
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Author : Jason Brownlee
language : en
Publisher: SuperFastPython.com
Release Date :
Python Multiprocessing Interview Questions written by Jason Brownlee and has been published by SuperFastPython.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
How well do you know Python multiprocessing? The multiprocessing module provides process-based concurrency in Python and few developers know about it, let alone, how to use it well. The main reason is because it is widely thought that Python does not fully support concurrency. This is false. In fact, processes provide the best path to full parallelism in Python for CPU-bound tasks. * Do you know how to start a new process? * Do you know how to use mutex locks with Python processes? * Do you know how to use a manager or a pool? Discover 180+ interview questions on Python multiprocessing. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your Python multiprocessing skills today.
Python Threading Interview Questions
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Author : Jason Brownlee
language : en
Publisher: SuperFastPython.com
Release Date : 2022-08-03
Python Threading Interview Questions written by Jason Brownlee and has been published by SuperFastPython.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-03 with Computers categories.
How well do you know Python threads? The threading module provides thread-based concurrency in Python and few developers know about it, let alone, how to use it well. The main reason is because it is wily thought that Python does not support threads because of the Global Interpreter Lock (GIL). This is false. In fact, threads remain the best approach to achieve concurrency for IO-bound tasks. * Do you know how to start a thread? * Do you know how to use mutex locks with Python threads? * Do you know how to identify a race condition? Discover 120 interview questions on Python threading. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your Python threading skills today.
Python Concurrent Futures Interview Questions
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Author : Jason Brownlee
language : en
Publisher: SuperFastPython.com
Release Date :
Python Concurrent Futures Interview Questions written by Jason Brownlee and has been published by SuperFastPython.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
How well do you know the ThreadPoolExecutor and ProcessPoolExecutor in Python? The concurrent.futures module provides the ability to launch parallel and concurrent tasks in Python using thread and process-based concurrency. Importantly, the ThreadPoolExecutor and ProcessPoolExecutor offer the same modern interface with asynchronous tasks, Future objects, and the ability to wait on groups of tasks. The concurrent.futures module with the ThreadPoolExecutor and ProcessPoolExecutor classes offers the best way to execute ad hoc tasks concurrently in Python, and few developers know about it, let alone how to use it well. * Do you know how to handle task results in the order tasks finish? * Do you know how to wait for the first task to fail? * Do you know how many workers are created by default? Discover 130+ interview questions and their answers on the concurrent.futures module. * Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role. Prepare for an interview or test your ThreadPoolExecutor and ProcessPoolExecutor skills in Python today.
Using Asyncio In Python
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Author : Caleb Hattingh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-01-30
Using Asyncio In Python written by Caleb Hattingh 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 2020-01-30 with Computers categories.
If you’re among the Python developers put off by asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers. The features you need to consider are a small subset of the whole asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps you gain a basic understanding of asyncio’s building blocks—enough to get started writing simple event-based programs. You’ll learn why asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simpleway to support thousands of simultaneous socket connections. Get a critical comparison of asyncio and threading for concurrent network programming Take an asyncio walk-through, including a quickstart guidefor hitting the ground looping with event-based programming Learn the difference between asyncio features for end-user developers and those for framework developers Understand asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular asyncio-compatible third-party libraries
Mastering Concurrency In Python
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Author : Quan Nguyen
language : en
Publisher:
Release Date : 2018-11-24
Mastering Concurrency In Python written by Quan Nguyen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-24 with Computers categories.
Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key Features Explore the core syntaxes, language features and modern patterns of concurrency in Python Understand how to use concurrency to keep data consistent and applications responsive Utilize application scaffolding to design highly-scalable programs Book Description Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language What you will learn Explore the concepts of concurrency in programming Explore the core syntax and features that enable concurrency in Python Understand the correct way to implement concurrency Abstract methods to keep the data consistent in your program Analyze problems commonly faced in concurrent programming Use application scaffolding to design highly-scalable programs Who this book is for This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed.
Clean Python
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Author : Sunil Kapil
language : en
Publisher: Apress
Release Date : 2019-05-21
Clean Python written by Sunil Kapil and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-21 with Computers categories.
Discover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects. Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to effectively organize your code. You will then dive deep into the new features of the Python language and learn how to effectively utilize them. Next, you will decode key concepts such as asynchronous programming, Python data types, type hinting, and path handling. Learn tips to debug and conduct unit and integration tests in your Python code to ensure your code is ready for production. The final leg of your learning journey equips you with essential tools for version management, managing live code, and intelligent code completion. After reading and using this book, you will be proficient in writing clean Python code and successfully apply these principles to your own Python projects. What You’ll Learn Use the right expressions and statements in your Python code Create and assess Python Dictionary Work with advanced data structures in Python Write better modules, classes, functions, and metaclasses Start writing asynchronous Python immediately Discover new features in Python Who This Book Is For Readers with a basic Python programming knowledge who want to improve their Python programming skills by learning right way to code in Python.
Python Tutorial
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Author : Guido van Rossum
language : en
Publisher:
Release Date : 1999
Python Tutorial written by Guido van Rossum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Object-oriented programming (Computer science) categories.
Python For Geeks
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Author : Muhammad Asif
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-20
Python For Geeks written by Muhammad Asif 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 2021-10-20 with Computers categories.
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.
Numerical Python
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Author : Robert Johansson
language : en
Publisher: Springer Nature
Release Date : 2024-09-27
Numerical Python written by Robert Johansson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Computers categories.
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more. Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling, and machine learning. What You'll Learn Work with vectors and matrices using NumPy Review Symbolic computing with SymPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Understand statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its ecosystem of libraries for scientific computing and data analysis.