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expert python programming pdf free download

expert python programming pdf free download

He is highly experienced in designing high-performance distributed services. He is also an active contributor to many open source Python projects.

Tarek Ziade is a Python developer located in the countryside near Dijon, France. He works at Mozilla in the services team. When he is not hacking on his computer or hanging out with his family, he's spending time between his two passions, running and playing the trumpet.

Powershell Core 6. Python Microservices Development. Click here if you have any feedback or suggestions. The book will start by taking you through the new features in Python 3.

You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming.

This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. Leave a Reply Cancel reply Your email address will not be published. Every Programmer loves free eBook and free courses, even more, if it comes from renowned technical book publishers like Oreilly and Manning. In the last article, I have shared some of the best free Java programming books , and today I am going to share some of the equally best free Python Programming books.

These books are not illegal copies that are uploaded into the internet, but they are the legal books, made free by their authors and publishers, much like free Udemy courses , which their instructor made free for educational and promotional reasons.

Though these are not full-fledged books but concise eBooks, they are very informative and comprehensive enough to learn things like Data Science and Functional programming in Python.

The list contains different types of free Python books; some of them, like A Whirlwind Tour of Python, is useful for beginners and intermediate Python developers and others like 20 Python Libraries You Aren't Using are very useful for experienced Python programmers.

The list also contains some real-world, practical advice on what not to do while working with Python in the form of "How to Make Mistakes in Python" free eBook. This is the one I liked most because we all make mistakes and if we continue to learn from our own mistakes we won't learn much in whole life, but if we start learning from other's mistakes, then we can quickly learn a lot of things.

Latest Downloads. Sented by Musa. Concept of Physics Part-1 Session by H. C Verma. Web Scalability for Startup Engineers. Cookie policy: We use cookies to ensure you get the best experience on our website. Skip to the end of the images gallery. Skip to the beginning of the images gallery. Read Now Look inside. More Information Learn Explore modern ways of setting up repeatable and consistent development environments Package Python code effectively for community and production use Learn modern syntax elements of Python programming such as f-strings, enums, and lambda functions Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Extend Python with code written in different languages Integrate Python with code written in different languages About Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature.

Features Create well manageable code that will run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to build optimized code. Discover the exciting new features of Python 3.

Table of contents. Technical requirements Where are we now and where we are going to? Technical requirements Installing additional Python packages using pip Isolating the runtime environment Python's venv System-level environment isolation Popular productivity tools Summary. Technical requirements Python's built-in types Supplemental data types and containers Advanced syntax Functional-style features of Python Function and variable annotations Other syntax elements you may not know of yet Summary.

Technical requirements The protocols of the Python language — dunder methods and attributes Reducing boilerplate with data classes Subclassing built-in types MRO and accessing methods from superclasses Advanced attribute access patterns Summary. Technical requirements What is metaprogramming? Technical requirements Creating a package Namespace packages Uploading a package Standalone executables Summary.

Technical requirements The Twelve-Factor App Various approaches to deployment automation Your own package index or index mirror Common conventions and practices Code instrumentation and monitoring Summary.

Technical requirements Working with a version control system Setting up continuous development processes Summary. Technical requirements I don't test I do test Summary. Technical requirements The three rules of optimization Optimization strategy Finding bottlenecks Summary. Technical requirements Defining complexity Reducing complexity by choosing proper data structures Using collections Using architectural trade-offs Caching Summary.

Technical requirements Why concurrency? Multithreading Multiprocessing Asynchronous programming Summary. Technical requirements What exactly is event-driven programming?

Various styles of event-driven programming Event-driven architectures Summary. Technical requirements Creational patterns Structural patterns Behavioral patterns Summary.

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