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Packt Getting Productive With Modern Python

Packt Getting Productive With Modern Python
English | Size: 202.75 MB
Category: Tutorial

Learn
Persist your work and data across time with Python databases
Create faster and more compact applications with advanced comprehensions and containers
Understand your program's speed and bottlenecks with profiling
Improve the speed at which you interface with input-output channels via concurrency
Leverage modern multithreaded CPUs with parallelism to enhance performance
Package your Python code so you can distribute it and share it with other developers

About

Python is simple, but it isn't easy. Python emphasizes code readability, using indentation and whitespaces to create code blocks. This makes it simpler than C++ or Java, where curly braces and keywords are scattered across the code. Python is high-level, which allows programmers like you to create logic with fewer lines of code.

This course follows a problem-solution format to tackle common roadblocks in Python programming. How can we handle large datasets and files, processing them in Python efficiently? How can we address performance issues for long-running tasks?

There is no other course that can transform every corner of your Python code. After going through the course, you will be confident enough to use Python for your large-scale applications and will perform tasks faster and more effective.

All the code and supporting files are available on GitHub at - https://github.com/PacktPublishing/Getting-Tricky-with-Modern-Python
Style and Approach

A friendly course packed with step-by-step instructions, working examples, and helpful advice. This extensive course is divided into small bits so you can learn at your own pace and focus on the areas of most interest to you.
Features

Take your skills to the next level in crucial areas of programming such as performance optimization and concurrent-processing large datasets
Go from a Python user to Python expert by learning tips and tricks gathered from Stack Overflow, developer forums, and Python source code
Following a problem-solution format, each video makes it easy to understand tried-and-tested solutions to solve common problems

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