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Short, concise and speaker valued brevity over verbosity. I love this!

What are those websites provide the links in the description

Nice...

21:50 Steven SteelBurger 😝

nice explanation

"What's __init__ for me?" is pretty witty 💪💪

Thanks

I would like to meet this guy.

Excellent presentation. Thank you

Sorry, could you suggest me how could I automatically run a Python Script ASAP my Raspberry Pi turns on by using Fabric library ? (implementing a kind of Plug&Play service)

Great talk. I still need to figure out how to get a library to accept my object as list :)

Very good! Any chance of an update? Thanks.

Use it, great! Lol

I have been using Nornir for a while to manage Cisco ASA's I have never been able to get this to work with Ansible. Great content!

it's perfect.

This is a good talk! Most of it is good best practices that extend beyond Python. One of the items that stuck out to me though was your comment about data serialized with Pickle. You make an excellent point about not knowing what's in there without deserializing it, and that can be a very big risk. I was rolling it around in my head, and I keep coming back to 2 approaches: 1) Somehow sign and CRC the data, so that you are checking source/trustworthiness before you deserialize. 2) Don't use pickle. Serialize to JSON, XML, or some other structured format that you can inspect and validate before load. Either way, some excellent food for thought!

Slides: bit.ly/facade-pattern Accompanying blog post: alysivji.github.io/clean-architecture-with-the-facade-pattern.html

+1

Slides are here: tinyurl.com/HayleyPyTexas

I am watching too, so feel free to ask me any questions. -Hayley

well explained

Thank you for explanation :).

I miss 2017. People were allowed to sneeze in public back then.

Another simple library for easy asynchronous and secure messaging would be aioconnectors. Full documentation here pypi.org/project/aioconnectors/ Short demo here th-cam.com/video/ZSoomtVcGxE/w-d-xo.html

Really interesting talk, thanks for sharing!

Wonderful seminar, thank you!

this is helpful, Thank you

Hi, any recommendation how I can use stopwords in indonesian language? I've been looking for it everywhere but there are still working progresses.

Very informative, is it possible to share this code for learning purpose

I thought that was a great way to simplify the concept of machine learning. With all the models/math/etc out there, it was getting hard to choose where to start. Thanks for posting.

Is it me or at 14:50 Joon is using VIM to have a glance at the code generated by Emacs ?

Very nice! I like it!

Very useful talk. Thanks for this. I suppose these days with the introduction of Bokeh and Plotly you can build an entire app that takes data from raw format and pushes it to HDF5 using pandas apriori , build a GUI using Plotly and Dash which takes in user input and processes data from the HDF5 using pandas again and displays the result in an interactive webpage that can be shared across an organisation or pushed to the cloud too.

Demo starts at 3:40. You're welcome.

Pretty awesome talk!

One of the best presentations ever on LDA Topic modelling. Simple but effective Illustrations. Thank you!

Thank you very much for this Excellent presentation. Please could you share with us the presentation material? Many many THANKS Mark!

Thanks for the video, could you please provide the git repo? Thanks

Well done. Best 50 minutes I've spent learning docker.

how can we use it in C++. As I am working on C++ and I have to do stemming in my program

+

Github link referenced: github.com/jeffk/PyTexas-BigQuery

Really great talk. Very well explained. Well done mate!

Good talk sir. In docker container... 😁

Excellent presentation. Answers almost any question you'd have going into docker for the first time. Thanks for sharing!!!

I like the "Python of text-management" .. made me lol

It's funny, I found Mark's freakin awesome guestbook in the Docker Hub. Good job Mark!

Link to presentation material ??

Excellent, Mark. To the point and engaging!

I was misreading "Pay Taxes" instead of "Py Texas"