In Python 3.6, I can create a new example.py file in my text editor, write Python code that uses async/await and type annotations, switch to my terminal, and run python example.py to execute my code.
deleting a directory
argument parsing (I can’t even…)
creating a temp file
Logging (there are too many to options for me to decide which ones to link to)
unit testing (again, too many to list)
printf format strings
left-justify a string (Node developers are still having nightmares over this one)
It might be possible that Python’s third-party ecosystem is just as bad as npm’s. What is impressive is that I have no idea whether that is the case because it is so rare that I have to look to a third-party Python package to get the functionality that I need. I am aware that data scientists rely heavily on third-party packages like NumPy, but unlike the Node ecosystem, there is one NumPy package that everyone uses rather than a litany of competitors named numpy-fast, numpy-plus, simple-numpy, etc.
Additionally, the browser is not the only place where developers are building UI using web technologies. Two other prominent examples are Electron and React Native. Electron is attractive because it lets you write once for Windows, Mac, and Linux while React Native is attractive because it lets you write once for Android and iOS. Both are also empowering because the edit/refresh cycles using those tools is much faster than their native equivalents. From a hiring perspective, it seems like developers who know web technologies (1) are available in greater numbers than native developers, and (2) can support more platforms with smaller teams compared to native developers.
Overall, I am excited to see how things play out in both of these communities. You never know when someone will release a new technology that obsoletes your entire toolchain overnight. For all I know, we might wake up tomorrow and all decide that we should be writing OCaml. Better set your alarm clock.
This post originally appeared on bolinfest.com.