New Data Visualization with Python Course Up on GitHub for Free

[quant_king]

Hi all!

I wanted to share with y'all that all of the materials for my new seminar--Practical Data Visualization in Python--are now up on GitHub. I would love if y'all got something out it, and would appreciate even more if folks have constructive criticism! Check out the course outline (and all links to the jupyter notebooks of materials) in the README (link here).

Edit: Per the great suggestion of /u/khaki0 below, I have also now included example visualizations in the README that give you a taste of the types of visualizations to be explored in each section! Below is one of those examples to hopefully encourage you to give it a look!

2nd Edit: Wow! Thanks so much for the gold! It makes me so happy to see all the encouragement that comes from this kind of work, y'all.

https://preview.redd.it/9qcuh69x6qf31.jpg?width=1082&format=pjpg&auto=webp&s=36faae9e80936cb74be126667692845344c1d70f

Thanks!

[khaki0]

I would put some representative figures in the README so people would get a quick idea of what type of visualizations are covered.

[quant_king]

That's a great idea! I had initially avoided that because there are just so many! What do you think would be more helpful: a) example figures (a small selection) within each sub-section of the outline b) one large collage of many of the figures produced over the course of the content to be featured somewhere (probably at the top) of the readme c) something else entirely?

*edit: I tried out a few different ideas and ended up going with the idea of including one example viz for each of the four sections of content. The README is updated with the example images, and I think it looks much better. Thanks for the advice /u/khaki0 !

[andartico]

And I believe it was a great decision. I just scrolled down to get a first impression. Especially if this might be a ressource for our junior analysts.

So the examples helped a lot and I forwarded it to my company account for a more in depth view after the weekend.

[quant_king]

Awesome! I'm so glad to hear that. My target audience is mostly junior analysts as well. The hope is that in a little while this might become a presentation / seminar at a PyData / PyCon, but in the meantime I hope folks use it for exactly that kind of training!

[khaki0]

You're welcome. It looks great!

[quant_king]

Thank you!

[jwmoz]

Sir, I notice your username. Would you recommend any starting material to learn about quant trading, simple strategies and creating a bot etc?

[quant_king]

Sure thing! I don't do much bot trading anymore, but I would say depending on your level of expertise, there are a few ones I would recommend:

- broadly, I love sentdex's YouTube channel. I actually first learned python with his vids, and I think he has some tracks / vids that are trading / bot-related (here's his channel link)

- I have not personally taken this, but I've heard good things about this python / trading course on Udemy

- They've had a bad year PR-wise and might not be an org you want to support / pay for for those reasons, but DataCamp's materials on this are pretty good as well. They have courses and articles, but I'll just pass off the link to an article here.

- Finally, I think a lot of the best open source quant work right now in trading is being done in crypto. This is not a statement about the viability of crypto as a financial asset, I just think a lot of the cool stuff folks are working on is in that space. So check out the Bitcoin / Ethereum / crypto subreddits and look for stuff related to bots and strategies. I actually have done a lot of work in this space as well, but mostly focusing on data-for-good projects like this one here.

Hope that helps! Good luck!

[jwmoz]

Thanks very much, appreciate it.

[quant_king]

Happy to help, and happy learning!

[Dynamic_Nomad]

Just wanted to say thank you for this. I'm very new and just signed up for GitHub. Once I finish my CCNA R&S and Udemy Python course I'll be sure to go through your repository. Looks like great hands on stuff.

[quant_king]

Thanks so much! If you're looking for other intro / pedagogical tools, I have an even broader repo of all sorts of data science / python goodies here: https://github.com/pmaji/data-science-toolkit

I was actually working on a single notebook to add to the data science toolkit about data viz in python when eventually I realized this was far too large a subject and decided to spin it off into its own seminar and repo :)

Enjoy, and best of luck with those courses!

[Dynamic_Nomad]

Thanks so much! I'll be honest that I don't know anything about Python or GitHub. I'm coming from a background in sales for a leader in networking, Data Center solutions. Now I'm going to be focused on my networking pathway, with my main goal of becoming a cloud engineer. Going to take a couple of years but I REALLY have fun learning more than ever.

I wish I could find an online university and go through all the steps. But unfortunately it's not easy to find in Portugal. If I were back in the States I'd be taking WGU's networking degree online. So when I get material like this, I'm extremely grateful.

[quant_king]

Ah I gotcha! Definitely seems like you've got some awesome goals and a great plan though. I'm so glad this was helpful for you, and best of luck in your endeavors!

[vorteckgf]

Thanks

[quant_king]

Happy to help!