Kalman-and-Bayesian-Filters-in-Python VS book

A fantastic interactive introduction to Kalman filters can be found on the following repo:

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

It explains them from first principles and provides the intuitive rationale for them but doesn't shy away from the math when it feels the student should be ready for it.

No thread on Kalman Filters is complete without a link to this excellent learning resource, a book written as a set of Jupyter notebooks:

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

That book mentions alpha-beta filters as sort of a younger sibling to full-blown Kalman filters. I recently had need of something like this at work, and started doing a bunch of reading. Eventually I realized that alpha-beta filters (and the whole Kalman family) is very focused on predicting the near future, whereas what I really needed was just a way to smooth historical data.

So I started reading in that direction, came across "double exponential smoothing" which seemed perfect for my use-case, and as I went into it I realized... it's just the alpha-beta filter again, but now with different names for all the variables :(

I can't help feeling like this entire neighborhood of math rests on a few common fundamental theories, but because different disciplines arrived at the same systems via different approaches, they end up sounding a little different and the commonality is obscured. Something about power series, Euler's number, gradient descent, filters, feedback systems, general system theory... it feels to me like there's a relatively small kernel of intuitive understanding at the heart of all that stuff, which could end up making glorious sense of a lot of mathematics if I could only grasp it.

Somebody help me out, here!

This provides an excellent intro that jumps right into code. https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

If you know a bit of Python and you find it sometimes tough to grind through a textbook, take a look here:

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

Interactive examples programmed in Jupyter notebooks.

Thank you, very good resource! Timely too, as I am revising this topic.

My work is mostly in python. I found this interactive book using Jupyter that explains Kalman filters from first principles.

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...

Try this book

https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python And on robotics in general

- Kalman and Bayesian Filters in Python

My first port of call was to google learn rust which lead me to "the book". The book is a first steps guide written by the rust community for newbies (or Rustlings as they're called) to gain a 'solid grasp of the language'.

Before Prodzilla, I’d read 'The Book' a couple of times, and had made my way through Rustlings, but hadn’t yet built a serious project in Rust.

To answer your last question;

Start with the Rust book.

https://doc.rust-lang.org/book/

Then do Rustlings until the syntax becomes muscle memory.

Then join the Discord and start doing little projects.

You won’t get up to the proficiency of other languages as quickly in Rust. It takes longer. For me it’s taking a lot longer, but I enjoy it.

Before diving into these repositories, familiarize yourself with Rust and its development ecosystem. The official Rust book is an excellent resource for developers at all levels. Each repository has documentation on how to contribute, covering code style, issue tracking, and pull requests.

This is my third Rust book after the official book and Rust in Action. The other two books are great, but they were too theoretical for me. I'm a slow learner and had much trouble grokking Rust's features and idiosyncrasies. When I was done with these books, I was lost and unsure of what I could do.

It's the same reason everything digital and downloadable isn't free: there's a cost to create it and there's a value to it.

For a language developer to charge for a book about that language, I think that's a completely valid way to make some money off of their work.

Even the Rust book, "The Rust Programming Language" is available freely online [0], but also as a print and ebook for sale via NoStarchPress [1].

[0] https://doc.rust-lang.org/book/

[1] https://nostarch.com/rust-programming-language-2nd-edition

You know you can just read it online right now in 2 different variants It does contain some systems programming.

I am looking at The Book (https://doc.rust-lang.org/book/), but hoped there was an amazing person on youtube.

Yeah, I'll build something, finally trying webassembly.

https://doc.rust-lang.org/book/ https://github.com/rust-lang/rustlings https://doc.rust-lang.org/rust-by-example/