dabeaz-course/python-mastery
View on GitHub ↗ ★ 13,356 Python archived
Advanced Python Mastery (course by @dabeaz)
7 mentions on Hacker News by 6 people: 1 story, 6 comments · first 2023-07-19 · latest 2024-07-10
20082026
-
…it in a year or 10 years. Approach with simple test files and exercises is more appealing to me https://github.com/dabeaz-course/python-mastery So what is the goal here, to be like Leetcode ? or spread knowledge ? If latter, put material…
comment by diimdeep · 2024-07-10 · in ML Code Exercises -
…) — productive development for projects that last * Advanced Python Mastery ( https://github.com/dabeaz-course/python-mastery ) — exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the
comment by asicsp · 2024-02-17 · in Think Python, 3rd Edition -
…detail that you really feel like you've explored every nook and cranny by the time you're done. [1] https://github.com/dabeaz-course/python-mastery/ (I enjoyed teaching the class so much that I've considered offering my services teaching…
comment by notdonspaulding · 2023-12-29 · in Ask HN: Programming Courses for Experienced Coders? -
…not only in Python, but in C, in C++, and across all languages that they use in their work. [1] https://github.com/dabeaz-course/python-mastery/blob/main/Py... [2] https://github.com/dabeaz-course/practical-python/blob/maste... [3]…
comment by jamesdutc · 2023-07-19 · in Advanced Python Mastery -
…than starting lst= [] and then later doing lst.append() This is an example from the linked course https://github.com/dabeaz-course/python-mastery/blob/main/Ex... : ``` # readport.py import csv # A function that reads a file into a list of…
comment by kingkongjaffa · 2023-07-19 · in Advanced Python Mastery -
…Beazley's Advanced Python Mastery; he just put it all up on github (PDF of all slides + exercises) https://github.com/dabeaz-course/python-mastery It's designed as a four-day workshop. Lots of material around 'mature' Python code
comment by a_bonobo · 2023-07-19 · in Ask HN: How can I get better at writing production-level Python?