There are many books for those new to Python, new to programming, or both. Powerful Python is different. Written for experienced developers like you, its carefully crafted chapters teach intermediate and advanced strategies, patterns, and tools for modern Python. Focused on Python 3, with full support for 2.7. DRM-free digital upgrade: powerfulpython.com/book-upgrade "Feels like Neo learning Jiu jitsu in the Matrix." - John Beauford (@johnbeauford) "I just wanted to let you know what an excellent book this is... I keep going back to your book to learn Python." - Fahad Qazi, London, UK "Thanks. Keep up the good work. Your chapter on decorators is the best I have seen on that topic." - Leon Tietz, Minnesota, USA "Powerful Python is already helping me get huge optimization gains." - Timothy Dobbins (@TmthyDobbins) "What have I found good and valuable about the book so far? Everything honestly. The clear explanations, solid code examples have really helped me advance as a Python coder... Thank you! It has really helped me grasp some advanced concepts that I felt were beyond my abilities." - Nick S., Colorado, USA For data scientists, back-end engineers, web developers, sysadmins, devops, QA testers and more. What's included: An unrelenting selective spotlight on what's most valuable and impactful to working, full-time, professional Python developers Well-researched, detailed, realistic code on almost every page, powerfully illustrating key points. Very little "toy code" How to use decorators to add rich features to functions and classes; untangle distinct, frustratingly intertwined concerns in your code; and build powerful, extensible software frameworks How to use Python in ways that incentivize other developers to use and re-use your code, again and again... amplifying the impact of the code you write, and boosting your reputation among your peers Powerfully and easily weave iterators and generators throughout your applications, making them massively scalable,
2021-06-19 00:54:27 1.23MB python
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好用的手机清理工具
2021-06-07 12:00:13 5.48MB 手机清理 app
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内容简介:   Google和YouTube由于PythonF的高可适应性、易于维护以及适合于快速开发而采用它。《Python学习手册(第4版)》将帮助你使用Python编写出高质量、高效的并且易于与其他语言和工具集成的代码。《Python学习手册(第4版)》根据Python专家MarkLutz的著名培训课程编写而成,是易于掌握和自学的Python教程。   《Python学习手册(第4版)》每一章都?Python语言的关键内容做单独讲解,并且配有章首习题,便于你学习新的技能并巩固加深自己的理解。书中配有大量注释的示例以及图表,它们都将帮助你轻松地学习Python3.0。 作者简介:   鲁特兹(Mark Lutz),世界级的Python培训讲师。他是畅销Python书籍的作者,从1992年起,他就是Python社区的先锋。他也是《Programming Python》、《Python Pocket Reference》和《Learning Python》等书的作者。
2021-05-16 21:14:18 12.34MB Learning Python 文字版
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DeepL.dmg most powerful translator
2021-05-12 09:06:21 37.41MB machinetranslat
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讲解AB测试的经典之作,The Most Powerful Way to Turn Clicks Into Customers
2021-03-02 17:00:10 6.12MB AB测试
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Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works best for your use-case Leverage Google Cloud Platform to analyze and optimize technical and business processes Book Description Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream – the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring,
2019-12-21 21:07:24 9.26MB google gcp
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