Pragmatic Python Part 5 - Advanced Object Oriented Programming Part II

Details
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 5 (PPP5) is the stimulus package for your mind 🧠!

In this session learn Advanced Object Oriented Programming (Part 2).

==== 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?

==== 💻 Meetup 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 Python's data model and magic methods.
Magic methods basically run everything in Python, so we'll cover method overriding, operator overloading, and how to make your own context manager. We'll also cover inheritance and how to use it.

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
• Pragmatic Python Part 3, Nifty Tricks You need to Know! https://bit.ly/38TvD9z
  -Pragmatic Python Part 4, Advanced Object Oriented Programming

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

=== Schedule: ===
👋 6:05-6:10PM - Intro
🗯 6:10-7:20PM Meetup
🤔 7:20-7:30PM - Questions

==== Instructor'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.