Advanced Programming with Python

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Advanced Programming with Python (Size: 3.9 GB)
  03_17_chat.txt 8.8 KB
  03_18_chat.txt 5.3 KB
  03_19_chat.txt 6 KB
  03_20_chat.txt 3.1 KB
  03_21_chat.txt 9.1 KB
  Bonus Resources.txt 102.4 B
  Day 1 1.mp4 382.8 MB
  Day 1 2.mp4 394.6 MB
  Day 2 1.mp4 384.1 MB
  Day 2 2.mp4 417.4 MB
  Day 3 1.mp4 424.1 MB
  Day 3 2.mp4 418.1 MB
  Day 4 1.mp4 390.5 MB
  Day 4 2.mp4 403.3 MB
  Day 5 1.mp4 404.9 MB
  Day 5 2.mp4 393.1 MB
  Get Bonus Downloads Here.url 204.8 B
  README.md 4 KB
  actors.py 4.5 KB
  address.py 5.9 KB
  after.py 921.6 B
  calculator.py 6.1 KB
  cancel.py 3.9 KB
  config.py 4.5 KB
  configparse.py 2.2 KB
  elevator.py 6.7 KB
  ex1.py 512 B
  ex10.py 2.6 KB
  ex2.py 1.1 KB
  ex3.py 4.2 KB
  ex4.py 3.2 KB
  ex5.py 3.1 KB
  ex6.py 4.8 KB
  ex7.py 4.2 KB
  ex8.py 3.7 KB
  ex9.py 1.1 KB
  frac.py 1.9 KB
  gitignore 3.4 KB
  manager.py 6.2 KB
  messages.py 4.1 KB
  picture.png 939.9 KB
  portfolio.csv 102.4 B
  portfolio.py 3.5 KB
  protocol.py 13.7 KB
  puzzle.py 13.6 KB
  refactor.py 1 KB
  report.py 1.9 KB
  rust.png 309.5 KB
  stacks.py 9.1 KB
  testing.py 2.8 KB
  testmsg.py 1 KB
  theater.py 1.2 KB
  ▲ 76 total files

Description


Advanced Programming with Python

https://WebToolTip.com

Released 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lessons ( 34h 56m ) | Size: 4 GB

Advanced Programming with Python

Overview
I've been programming for more than 30 years and naturally that might give you the impression that I've figured everything out--you would be mistaken. This course is a pragmatic journey into interesting and useful things I've learned about problem solving, programming, testing, and design. It's also a course about current programming topics I am still learning about in relation to all of those things. Ultimately, it's a course about making better software, but also embracing the idea of being flexible and writing code for the future.

Major subjects include data abstraction, layering, object-orientation, functional programming, event-driven systems, problem modeling, testing, and lightweight program verification techniques. However, a greater theme of the course concerns the idea of "composibility." Much of what we do in modern programming isn't driven by the need to code low-level algorithms. Instead, we often need to pull existing components together to form greater systems. When doing this, it's useful to think about how the parts interact and how our design choices might have a far-reaching impact on the whole. Ultimately, the goal is to manage software complexity and to make informed choices in your own projects.

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