You got me in the first 3 quarters, not gonna lie!

I absolutely agree that method extraction can be abused. One should not forget that locality is important. Functionnal idioms do help to minimise the layer of intermediate functions. Lamda/closure helps too by having the function much closer to its use site. And local variables can sometime be a better choice than having a function that return just an expression.

Good advice, clear, simple and to the point.

Stated otherwise: “whenever you need to add comments to an expression, try to use named intermediate variables, method or free function”.

I never understood why python won agaist ruby. I find ruby an even better executable pseudo code language than python.

Read your own code that you wrote a month ago. For every wtf moment, try to rewrite it in a clearer way. With time you will internalize what is or is not a good idea. Usually this means naming your constants, moving code inside function to have a friendly name that explain what this code does, or moving code out of a function because the abstraction you choose was not a good one. Since you have 10 years of experience it’s highly possible that you already do that, so just continue :)

If you are motivated I would advice to take a look to Rust. The goal is not really to be able to use it (even if it’s nice to be able able to write fast code to speed up your python), but the Rust compiler is like a very exigeant teacher that will not forgive any mistakes while explaining why it’s not a good idea to do that and what you should do instead. The quality of the errors are crutial, this is what will help you to undertand and improve over time. So consider Rust as an exercice to become a better python programmer. So whatever you try to do in Rust, try to understand how it applies to python. There are many tutorials online. The official book is a good start. And in general learning new languages with a very different paradigm is the best way to improve since it will help you to see stuff from a new angle.

I would have liked a link to the LKLM thread. Usually they are quite informative

I use a 42 key layout modified from bépo (french dvorak inspired layout) with the altgr layer of ergol. Go check this altgr layer it’s awesome for programming, and there is a version compatible for qwerty and lafayette.

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┆     ┃   ¹ │   ² │   ³ │   ⁴ │   ⁵ ┃   ⁶ │   ⁷ │   ⁸ │   ⁹ │   ⁰ ┃     ┆     ┆
┆     ┃   ₁ │   ₂ │   ₃ │   ₄ │   ₅ ┃   ₆ │   ₇ │   ₈ │   ₉ │   ₀ ┃     ┆     ┆
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·     ┃     │   ≤ │   ≥ │  *¤ │   ‰ ┃  *^ │     │   × │  *´ │  *` ┃     ┆     ┆
·     ┃   @ │   < │   > │   $ │   % ┃   ^ │   & │   * │   ' │   ` ┃     ┆     ┆
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·     ┃     │   ⁽ │   ⁾ │     │   ≠ ┃  */ │   ± │   — │   ÷ │  *¨ ┃     ┆     ┆
·     ┃   { │   ( │   ) │   } │   = ┃   \ │   + │   - │   / │   " ┃     ┆     ┆
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vim can have IDE-like capabilities thanks to lsp and tree-sitter. That’s a real game changer and is quite easy to set-up with something like kickstart.nvim.

I’m not familiar with C tooling, but I have done multiple projects in C++ (in a professionnel environnement) and AFAIK the tooling is the same. Tooling to C++ is a nightmare, and that’s and understatement. Most of the difficulty is self inflicted like not using cmake/meson but a custom build system, relying on system library instead of using Conan or vcpkg, not using smart-pointers,… but adding basically anything (LSP, code coverage, a new dependency, clang-format, clang-tidy, …) is horrible in those environments. And if you compare the quality of those tools to the one of other language, they are not even close. For exemple the lint given by clang-tidy to the one of Rust clippy.

If it took no more than an hour to add any of those tools to a legacy C project, then yes it would be disingenuous to not compare C + tooling with Rust, but unfortunately it’s not.

There take on what they call capabitilites is very interesting. Basically anything that would make a function non-pure seems to be declared explicitely.

A computational effect or an “effectful” computation is one which relies on or changes elements that are outside of its immediate environment. Some examples of effectful actions that a function might take are:

• writing to a database
• throwing an exception
• making a network call
• getting a random number
• altering a global variable

Moving to git is nice but I don’t understand why they don’t self-host a gitlab instance.

I use win+arrow key quite a lot too.