What’s the difference? I rarely use Python and every time I do I have to relearn which tools are the go to ones. In Java it’s a little simpler, we really just have Maven and Gradle. They have their own problems, sure, what tool doesn’t, but the thing that annoys me about python is the quantity of tools. There often isn’t a clear winner.
Now, to be fair to python, a lot of the ones mentioned on this post are very specifically for data science use cases and not general purpose development.
Because they help to digest the individual code blocks. My mind doesn’t digest whitespace the same way, it simply interprets it as formatting. It’s also much more frustrating to edit imo since the formatter generally has no idea what to do with misaligned whitespace.
Plus you can’t do anonymous multiline lambdas last I checked. That’s really frustrating.
The same meme with “wiring and lights” at the top. Then you descend to motors, transformers delta-y phases, RC and RL circuits, op amps, BJT circuits, reverse bias what?, differential equations, and eventually signals and systems.
Your perspective might be why I enjoy microcontroller work. I love getting to know everything about the system, reading hardware documentation, and getting the low level parts to work in a highly deterministic way.
I use ATTiny85 cores when a ESP32 costs almost the same, but the 85 only has 256 bytes of SRAM and five I/O pins so I can track it all and ensure it will do exactly what I want.
Very little of this is uniquely a problem in Python. It seems to me that your problem is with software development in general.
No, the dependency management in Python is a nightmare. There’s like a billion options for it.
Use pipenv and don’t think about it anymore.
What’s the difference? I rarely use Python and every time I do I have to relearn which tools are the go to ones. In Java it’s a little simpler, we really just have Maven and Gradle. They have their own problems, sure, what tool doesn’t, but the thing that annoys me about python is the quantity of tools. There often isn’t a clear winner.
Now, to be fair to python, a lot of the ones mentioned on this post are very specifically for data science use cases and not general purpose development.
My problem is with semantic whitespace
That’s really the part I hate the most. it just feels wrong
That’s the part I like the most. I don’t want to work on any code that isn’t properly formatted, and at that point why bother with curly braces, etc?
Because they help to digest the individual code blocks. My mind doesn’t digest whitespace the same way, it simply interprets it as formatting. It’s also much more frustrating to edit imo since the formatter generally has no idea what to do with misaligned whitespace.
Plus you can’t do anonymous multiline lambdas last I checked. That’s really frustrating.
I used to love it so much more…
come into the light, my child. become an electrical engineer.
The same meme with “wiring and lights” at the top. Then you descend to motors, transformers delta-y phases, RC and RL circuits, op amps, BJT circuits, reverse bias what?, differential equations, and eventually signals and systems.
at least then you’re dealing with the laws of nature instead of man-made BS. if you’re like me and have 0 tolerance for BS, it’s an absolute win.
Your perspective might be why I enjoy microcontroller work. I love getting to know everything about the system, reading hardware documentation, and getting the low level parts to work in a highly deterministic way.
I use ATTiny85 cores when a ESP32 costs almost the same, but the 85 only has 256 bytes of SRAM and five I/O pins so I can track it all and ensure it will do exactly what I want.