Talk Python - Python Memory Management and Tips Course

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Talk Python - Python Memy Management and Tips Course
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 97 Lessons (4h 31m) | Size: 1.9 GB

Course Summary
Python memy management is often a black box to most developers. You probably know that Python uses reference counting, but how can you write code most efficiently to wk with it? Did you know it also uses garbage collection? Do you know when that kicks it and its perfmance implications? With this course, you'll learn all of these concepts and me. You will exple them with concrete code examples, not just theies. And you will learn to optimize your code to both use less memy and to run faster.
What students are saying
Can't recommend this highly enough to anyone who wants to learn to code learn Python in particular. One of Michael's courses changed my career. Can't say enough good things about Talk Python training.
-- Chris
Source code and course GitHub reposity
github.com/talkpython/python-memy-management-course
What's this course about and how is it different?
This very unique course will teach not just how Python memy management wks and how to create code that functions well within that wld, it will provide many concrete techniques, tools, design patterns, and me to make your programs me memy efficient and computationally faster to boot.

If Python memy (allocations, clean up, and so on) has always felt like a weird black box that you have had to take f granted, join this course and open that box. There are many beautiful and interesting aspects of Python's runtime behavi making your code run. You should understand what's happening on your behalf.

What topics are covered
In this course, you will:

Learn how Python variables and data structures actually look in the CPython layer
See how the small object allocat treats most objects differently than your intuition
Understand Python's memy allocation primitives: blocks, pools, and arenas
Locate the elements on C code responsible f Python memy behavi
See reference counting in action with live code explations
Discover why reference counting alone is not enough f memy cleanup
Wk with Python's GC and see when it's needed, and when it's not
Compare different data structures to get a sense of their relative size
Use multiple clever but simple techniques to massively reduce memy during function calls
Lighten up your classes with properties
Leverage multiple memy profilers to investigate memy usage line by line and over time
And lots me
View the full course outline.

Who is this course f?
This course is f anyone who wants to understand how Python memy is managed and make their code me efficient and faster. If you're tired of Python memy being a black box hiding its behavi, turn on the light with this course.

The student requirements are quite light f this course. You'll need Basic Python Language knowledge:

Classes
Functions
Properties
Variables
Loops
Iteration
Note: All software used during this course, including edits, Python Language, etc., are 100% free and open source. You won't have to buy anything to take the course.

I recommends Buy premimum account f High speed+parallel downloads!

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