FYI the person with enough money to donate $300,000 to a programming language foundation is the founder of HashiCorp.
Data Science
FYI the person with enough money to donate $300,000 to a programming language foundation is the founder of HashiCorp.
If each lemmy instance has only a partial dataset
You can stop saying if. It is nearly certain that any instance only has a partial dataset in the same way that a search engine only indexes a partial dataset of every web page.
If this is the case: what happens if a bad actor subscribes to all communities of all servers?
There are bots that were built to do exactly that. I wouldn’t call them bad actors unless the instance owner prohibited such actions.
That’s more than most SWE graduates have done, which is great! But it makes it difficult to judge what you might benefit from based on what you’ve shared.
To answer the title question, the suggestions provided by others here are all good resources for studying algorithms, but no one mentioned Algorithms Illuminated which is of a similar quality. Choose one of these suggested resources that vibes with your learning style.
But don’t discount the suggestions to work on new projects that are outside of your current experience and requires more than your current knowledge base to complete. Trying things you haven’t tried before really is the only way to do things you couldn’t do previously.
Good luck!
What have you built? What larger projects have you contributed to?
Perhaps the following rewording of your last sentence would be easier for readers to follow along:
With a lack of precision, 1/3 might become 0.33333333. When evaluating the expression 1/3 + 1/3 + 1/3, using 0.33333333 as an approximate representation of 1/3 will return a result of 0.99999999, instead of the correct answer of 1.
That link didn’t work for me.
I agree. I was just using understatment for rhetorical effect.
Some people who are self studying Structure and Interpretation of Computer Programs have been using a discord server to assist each other as needed. I realize that there are a number of people using Lemmy whi are very opposed to using discord over other options, but I don’t know of any other sustained forums focused on this book.
That’s an entry point into programming that’s not for everyone. It seems like the poster is looking for something more hands on and pragmatic rather than technical and academic.
An author of the original book, Allen B. Downey, has released a third edition if his updates that is also available online at no cost and in Allen B. Downey’s words:
The book is now entirely in Jupyter notebooks, so you can read the text, run the code, and work on the exercises – all in one place. Using the links below, you can run the notebooks on Colab, so you don’t have to install anything to get started.
The text is substantially revised and a few chapters have been reordered. There are more exercises now, and I think a lot of them are better.
It’s interesting to see how the same source material has grown into two differently maintained and similar resources.
Pixi is more than a drop in replacement for Conda. Pixi being able to replace Conda and do everything that uv does (Pixi has incorporated uv into it’s tools) seems to make it a more complete toolset than uv alone.
Why is there often no discussion or mention of Pixi along with uv in conversations about Python tooling? Is it because uv has a lot of VC money to get attention while Pixi doesn’t?
Or The Odin Project if you don’t want to cover Python in the curriculum and just stick to JavaScript.
https://www.theodinproject.com/
(The Odin Project also has an option for Ruby along with JavaScript)
A git commit is a snapshot. The node-based tree structure is an artifact of recording pointers to other snapshots and labeling snapshots with a branch name.
Seems like you should make something less focused on games and solve problems in a different domain.
What have you made using Python so far?
This is a great idea!
Motivation
The Python docs are ill-suited to novices.
The content of the built-in functions documentation favors precision and correctness over comprehension for beginners. While this style is great for experienced developers who already understand the finer points of Python’s design, the docs are confusing to novice programmers like a 12 year old who is not far on his journey of learning Python.
This guide is an opinionated and simplified description of Python’s built-in functions.
My goal is to provide definitions, in plain English, of each built-in function that comes with Python. Along with each definition is an example that is as simple as I can think of. I ran each example against the latest version of Python as of the time writing this guide.
I want to be able to share this with my 12 year old son or my 10 year old daughter, so that they can understand and use Python. My hope is that this guide also serves others who would like some plain definitions of what the built-in functions do.
A note for pedants: I am sacrificing precision and exactness in favor of comprehension. That means I will use substitionary language that I think will communicate more clearly than the exact terminology. If you’re looking for that level of precision, please refer to the standard library docs. Those docs are great for that level of clarity.
For the rest of us, let’s go!
That’s a nice addition for those that want security over convenience. I wonder why it took them 11 years after this was written to add it.
It seems there’s room for both