Python Multiprocessing Pool Jump Start

Author : Jason Brownlee
Publisher : SuperFastPython
Page : 75 pages
File Size : 53,9 Mb
Release : 2022-07-19
Category : Computers
ISBN : 8210379456XXX

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Python Multiprocessing Pool Jump-Start by Jason Brownlee Pdf

How much faster could your python code run (if it used all CPU cores)? The multiprocessing.Pool class provides easy-to-use process-based concurrency. This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system). This is the class you need to use to make your code run faster. There's just one problem. No one knows about it (or how to use it well). Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast! You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool. Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from outdated StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : Unknown
Page : 0 pages
File Size : 53,8 Mb
Release : 2022
Category : Electronic
ISBN : 9798841411956

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Python Multiprocessing Pool Jump-Start by Jason Brownlee Pdf

Author : Jason Brownlee
Publisher : SuperFastPython
Page : 139 pages
File Size : 42,8 Mb
Release : 2022-07-28
Category : Computers
ISBN : 8210379456XXX

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Python Multiprocessing Jump-Start by Jason Brownlee Pdf

Unlock parallel programming in Python (and run your code on all CPUs). The multiprocessing module provides easy-to-use process-based concurrency in Python. Unlike Python threading, multiprocessing side-steps the infamous Global Interpreter Lock (GIL), allowing full parallelism in Python. This is not some random third-party library, this is an API provided in the Python standard library (already installed on your system). This is the API you need to use to make your code run faster. There's just one problem. Few developers know about it (or how to use it well). Introducing: "Python Multiprocessing Jump-Start". A new book designed to teach you the multiprocessing module in Python, super fast! You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing API. Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing module, with explanations, code snippets and worked examples. Each lesson ends with an exercise for you to complete to confirm you understand the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : SuperFastPython
Page : 130 pages
File Size : 55,6 Mb
Release : 2024-06-23
Category : Computers
ISBN : 8210379456XXX

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Python ThreadPoolExecutor Jump-Start by Jason Brownlee Pdf

How much faster could your Python code run (if you used 100s of thread workers)? The ThreadPoolExecutor class provides modern thread pools for IO-bound tasks. This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system). This is the class you need to make your code run faster. There's just one problem. No one knows about it (or how to use it well). Introducing: "Python ThreadPoolExecutor Jump-Start". A new book designed to teach you thread pools in Python, super fast! You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPoolExecutor. Including: * How to create thread pools and when to use them. * How to configure thread pools including the number of threads. * How to execute tasks with worker threads and handle for results. * How to execute tasks in the thread pool asynchronously. * How to query and get results from handles on asynchronous tasks called futures. * How to wait on and manage diverse collections of asynchronous tasks. * How to develop a concurrent website status checker that is 5x faster than the sequential version. Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPoolExecutor, with explanations, code snippets and worked examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : SuperFastPython.com
Page : 98 pages
File Size : 50,7 Mb
Release : 2022-08-09
Category : Computers
ISBN : 8210379456XXX

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Python ThreadPool Jump-Start by Jason Brownlee Pdf

How much faster could your Python code run (if you used 100s of threads)? The ThreadPool class provides easy-to-use thread-based concurrency for IO-bound tasks. This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system). This is the class you need to make your code run faster. There's just one problem. No one knows about it (or how to use it well). Introducing: "Python ThreadPool Jump-Start". A new book designed to teach you thread pools in Python, super fast! You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPool. Including: * How to create thread pools and when to use them. * How to configure thread pools including the number of threads. * How to execute tasks with worker threads and wait for results. * How to execute tasks in the thread pool asynchronously. * How to execute tasks lazily and respond to results as tasks complete. * How to handle results with callbacks and check the status of tasks. * How to develop a port scanner that is 70x faster than the sequential version. Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPool, with explanations, code snippets and worked examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : SuperFastPython.com
Page : 129 pages
File Size : 53,8 Mb
Release : 2024-06-23
Category : Computers
ISBN : 8210379456XXX

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Python ProcessPoolExecutor Jump-Start by Jason Brownlee Pdf

How much faster could your python code run ( if it used all CPU cores)? The ProcessPoolExecutor class provides modern process pools for CPU-bound tasks. This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system). This is the class you need to make your code run faster. There's just one problem. No one knows about it (or how to use it well). Introducing: "Python ProcessPoolExecutor Jump-Start". A new book designed to teach you modern process pools in Python, super fast! You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ProcessPoolExecutor. Including: * How to create process pools and when to use them. * How to configure process pools including the number of workers. * How to execute tasks with worker processes and handle results. * How to execute tasks in the process pool asynchronously. * How to query and get results from handles on asynchronous tasks called futures. * How to wait on and manage diverse collections of asynchronous tasks. * How to develop a parallel Fibonacci calculator 4x faster than the sequential version. Each of the 7 lessons was carefully designed to teach one critical aspect of the ProcessPoolExecutor, with explanations, code snippets and worked examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : SuperFastPython
Page : 140 pages
File Size : 55,8 Mb
Release : 2022-08-04
Category : Computers
ISBN : 8210379456XXX

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Python Threading Jump-Start by Jason Brownlee Pdf

Unlock concurrency with Python threads (and run 100s or 1,000s of tasks simultaneously) The threading module provides easy-to-use thread-based concurrency in Python. Unlike Python multiprocessing, the threading module is limited by the infamous Global Interpreter Lock (GIL). Critically, the GIL is released when performing blocking I/O. Additionally, threads can share memory making them perfectly suited to I/O-bound tasks such as reading and writing from files and socket connections. This is the API you need to use to make your code run faster. Introducing: "Python Threading Jump-Start". A new book designed to teach you the threading module in Python, super fast! You will get a rapid-paced, 7-part course to get you started and make you awesome at using the threading API. Each of the 7 lessons was carefully designed to teach one critical aspect of the threading module, with explanations, code snippets and worked examples. You will discover: * How to choose tasks that are well suited to threads. * How to create and run new threads. * How to locate and query running threads. * How to use locks, semaphores, barriers and more. * How to share data between threads using queues. * How to execute ad hoc tasks with reusable worker threads. * How to gracefully stop and forcefully kill threads. Each lesson ends with an exercise for you to complete to confirm you understand the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : SuperFastPython.com
Page : 179 pages
File Size : 48,6 Mb
Release : 2024-06-23
Category : Computers
ISBN : 8210379456XXX

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Python Asyncio Jump-Start by Jason Brownlee Pdf

Asyncio is an exciting new addition to Python. It allows regular Python programs to be developed using the asynchronous programming paradigm. It includes changes to the language to support coroutines as first-class objects, such as the async def and await expressions, and the lesser discussed async for and async with expressions for asynchronous iterators and context managers respectively. Asyncio is the way to rapidly develop scalable Python programs capable of tens or hundreds of thousands of concurrent tasks. Developing concurrent programs using coroutines and the asyncio module API can be very challenging for beginners, especially those new to asynchronous programming. Introducing: "Python Asyncio Jump-Start". A new book designed to teach you asyncio in Python, super fast! You will get a rapid-paced, 7-part course focused on getting you started and make you awesome at using asyncio. Including: * How to define, schedule, and execute asynchronous tasks as coroutines. * How to manage groups of asynchronous tasks, including waiting for all tasks, the first that, or the first task to fail. * How to define, create, and use asynchronous iterators, generators, and context manages * How to share data between coroutines with queues and how to synchronize coroutines to make code coroutine-safe. * How to run commands as subprocesses and how to implement asynchronous socket programming with streams. * How to develop a port scanner that is nearly 1,000 times faster than the sequential version. Each of the 7 lessons was carefully designed to teach one critical aspect of asyncio, with explanations, code snippets, and complete examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

Author : Jason Brownlee
Publisher : Machine Learning Mastery
Page : 177 pages
File Size : 55,6 Mb
Release : 2016-04-08
Category : Computers
ISBN : 8210379456XXX

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Machine Learning Mastery With Python by Jason Brownlee Pdf

The Python ecosystem with scikit-learn and pandas is required for operational machine learning. Python is the rising platform for professional machine learning because you can use the same code to explore different models in R&D then deploy it directly to production. In this Ebook, learn exactly how to get started and apply machine learning using the Python ecosystem.

Author : Micha Gorelick,Ian Ozsvald
Publisher : O'Reilly Media
Page : 469 pages
File Size : 47,8 Mb
Release : 2020-04-30
Category : Computers
ISBN : 9781492054993

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High Performance Python by Micha Gorelick,Ian Ozsvald Pdf

Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker

Author : Elliot Forbes
Publisher : Packt Publishing Ltd
Page : 352 pages
File Size : 52,6 Mb
Release : 2017-08-16
Category : Computers
ISBN : 9781787283169

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Learning Concurrency in Python by Elliot Forbes Pdf

Practically and deeply understand concurrency in Python to write efficient programs About This Book Build highly efficient, robust, and concurrent applications Work through practical examples that will help you address the challenges of writing concurrent code Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Who This Book Is For This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts. What You Will Learn Explore the concept of threading and multiprocessing in Python Understand concurrency with threads Manage exceptions in child threads Handle the hardest part in a concurrent system — shared resources Build concurrent systems with Communicating Sequential Processes (CSP) Maintain all concurrent systems and master them Apply reactive programming to build concurrent systems Use GPU to solve specific problems In Detail Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices. Style and approach This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.

Author : Rick van Hattem
Publisher : Packt Publishing Ltd
Page : 486 pages
File Size : 40,8 Mb
Release : 2016-04-29
Category : Computers
ISBN : 9781785289132

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Mastering Python by Rick van Hattem Pdf

Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book Become familiar with the most important and advanced parts of the Python code style Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn Create a virtualenv and start a new project Understand how and when to use the functional programming paradigm Get familiar with the different ways the decorators can be written in Understand the power of generators and coroutines without digressing into lambda calculus Create metaclasses and how it makes working with Python far easier Generate HTML documentation out of documents and code using Sphinx Learn how to track and optimize application performance, both memory and cpu Use the multiprocessing library, not just locally but also across multiple machines Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.

Author : Caleb Hattingh
Publisher : O'Reilly Media
Page : 166 pages
File Size : 53,7 Mb
Release : 2020-01-30
Category : Computers
ISBN : 9781492075301

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Using Asyncio in Python by Caleb Hattingh Pdf

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

Author : Jason Brownlee
Publisher : Machine Learning Mastery
Page : 463 pages
File Size : 41,7 Mb
Release : 2020-01-14
Category : Computers
ISBN : 8210379456XXX

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Imbalanced Classification with Python by Jason Brownlee Pdf

Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.

Author : John Hunt
Publisher : Springer Nature
Page : 638 pages
File Size : 43,8 Mb
Release : 2023-11-02
Category : Computers
ISBN : 9783031403361

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Advanced Guide to Python 3 Programming by John Hunt Pdf

Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.