Скачать или смотреть Pragmatic Python Part 3 w/ Eugene Huang: Nifty Tricks & Context Managers

Code like a pro, with this follow-up session to the popular Pragmatic Python Series 😀.

Now's your chance to learn it all and become a pro💪!

Pragmatic Python Part 3 (PPP3) is the stimulus package for your mind 🧠!

In this session learn Nifty Tricks and how to setup your own Context Manager.

==== Series Description: ===
Do you want to learn Python without the boring hassle of reading a book or listening to some academic professor lecture about all the data structures you WON'T use?

==== 💻 Description💻 : ====
Fear not! Learn Python the easy way. Join this week's interactive talk where you can run code while learning all the cool Python functionalities: we will cover nifty tricks such as for/else and while/else constructs, advanced exception handling with try/except/else/finally, and how to create your own custom context manager.

Basically, all the things you always wanted to learn but were too busy.

==== Follow along with Binder: ====
Run code in the browser for free with all the batteries included: no setup script, no installation, no git cloning! Since all audience members have access to the live coding, if you get stuck on a piece of code, definitely ask a question.

Now's your chance to learn it all and become a pro!

=== Assets ===
Missed out on earlier sessions, get them here:
Pragmatic Python Part 1, Foundations: https://bit.ly/3kHwRIv
Pragmatic Python Part 2, args & kwargs, decorators, builtins and neat python syntax!: https://bit.ly/33cJYJO

A link to series Binder notebooks will be provided in the session, where you can the code along with Eugene!

==== Speaker's Bio ====
Eugene is a graduate from UC Berkeley in statistics and economics. However he does NOT have a CS background! He took 1 CS class--got a B+. He is a (mostly) self-taught programmer, so he teaches from an applied perspective instead of a theoretical one: focus on the core functionalities that programmers will actually use in real life.

Eugene is full stack Data Scientist at a Fortune 100 company, 4-time hackathon winner, GCP Certified Data Engineer, Certified Blockchain Developer, and open-source contributor for Dask.

Eugene's interest lies in distributed-computing frameworks and has ran a single job spanning 62 machines but also ETLed 150 Terabytes of IoT data on 1 machine.
Now's your chance to learn it all and become a pro!