Today I am with David Kopec, author of Classic Computer Science Problems in Python, published by Manning Publications.
His book deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with interesting and realistic scenarios, exercises, and of course algorithms. There are examples in the major topics any data scientist should be familiar with, for example search, clustering, graphs, and much more.
Get the book from https://www.manning.com/books/classic-computer-science-problems-in-python and use coupon code poddatascienceathome19 to get 40% discount.
 
References
Twitter https://twitter.com/davekopec
GitHub https://github.com/davecom
classicproblems.com

Episode 67: Classic Computer Science Problems in Python

Technology, AI, machine learning and algorithms. Come join the discussion on Discord!  
https://discord.gg/4UNKGf3

Technology

Tech News

Podcasting

Gadgets

Software How-To

News

In this episode of "Rust in the Cosmos" we delve into the challenge of testing software for... ehm ... space 
How can Rust help? Let's find out ;)
 
Sponsors
Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.
 
Communities
AeroRust, Intrepid, Bytenook
AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq 
AeroRust website: AeroRust.org
Intrepid AI Discord https://discord.gg/cSSzche6Ct
Intrepid AI website: https://intrepid.ai
 
References
Open-source
GitHub workflows/actions - https://docs.github.com/en/actions 
Gitlab CI - https://docs.gitlab.com/ee/ci/ 

Alternatives
Circle ci - https://circleci.com/ 
Travis http://travis-ci.com  

Dagger.io - https://dagger.io 
Actionshttps://github.com/dtolnay/rust-toolchain 
https://github.com/taiki-e/install-action
https://github.com/marketplace/actions/install-cargo-binstall 

Additional tools:https://github.com/nextest-rs/nextest 
https://github.com/cargo-bins/cargo-binstall

Jon Gjengset - Towards Impeccable Rust 
Lechev.space: lechev.space

Rust in the Cosmos Part 2: testing software in space (Ep. 255)

In this inaugural episode of "Rust in the Cosmos," we delve into the intricacies of communication in space and some of the challenges in space application development.
 
Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.

Rust in the Cosmos: Decoding Communication Part I (Ep. 254)

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research. From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment!
 
Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
 
References
https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game
https://discord.gg/yaXgYZ5Ymn - Discord server for the game
https://aimodels.substack.com/ - Mike’s newsletter (links to website too)

AI and Video Game Development: Navigating the Future Frontier (Ep. 253)

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!
 
Sponsors
Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
 


Kaggle Kommando's Data Disco: Laughing our Way Through AI Trends (Ep. 252)

In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!
Sponsors
Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

Episode 67: Classic Computer Science Problems in Python

Download our free app to listen on your phone