Category: Python
-
Last chance to get $1400 of Python courses for $25
Only a few hours remain before the massive Humble Bundle for Python courses + PyCharm closes its doors! No matter where you are in learning Python, you’ll find something here
-
There’s still time to get amazing Python course deals via Humble Bundle
If you haven’t yet taken advantage of the massive Humble Bundle for Python courses + PyCharm, you only have a few days left to do so before it ends! Whether
-
“Python Workout” is available in print!
If you’re like a lot of people, you’re able to get things done in Python, thanks to a combination of intuition, searching on Stack Overflow, and messing around. But you
-
Level up your Python skills with a supercharged Humble Bundle!
Want to improve your Python skills? Yeah, I know. Of course you do. Well, then you should grab an amazing deal from Humble Bundle, with content from a bunch of
-
“Python Workout” is the Manning “Deal of the Day” for June 7
Want to improve your Python fluency? You’ll need to practice! My book, “Python Workout,” gives you 50 exercises (+ screencast videos + 200 bonus exercises) to improve your Python programming
-
Reminder: Python for non-programmers continues tomorrow!
We’re still going with my live, weekly (free) “Python for non-programmers” course. Our next meeting is tomorrow (June 5th) at 10 a.m. Eastern. You can join at https://PythonForNonProgrammers.com/ . If
-
“Python Workout” is Manning’s Deal of the Day!
Good news: My book, “Python Workout,” is almost done; I’m working on the videos and final edits, and it’ll soon be available in its final form from Manning, both online
-
Understanding bitwise operations in Python
Have you ever wondered about bitwise operations in Python? They’re not that common nowadays, but they are still in the language, and can be useful in some cases. A subscriber
-
Today’s lesson in “Python for non-programmers”: Dictionaries
My free, weekly “Python for non-programmers” course continues! Our topic for today: Dictionaries, the most important data structure in Python. If you’ve always wanted to program, then it’s still not
-
Making sense of generators, coroutines, and “yield from” in Python
Consider the following (ridiculous) Python function: def myfunc(): return 1 return 2 return 3 I can define the function, and then run it. What do I get back? >>> myfunc()