Tech Lead | Full-Stack Software Engineer | Python | PHP | JavaScript | React | Shell Script
We're finally there! Come with me to conclude my series of posts where a tiny Python project is built to calculate advantages, disadvantages and immunities of Pokémon species from a generation! In this series, I went through many Python base concepts, as I did with some architectural patterns and good practices concepts. Let's have fun mixing Pokémon and Python together!
Day 2 of #100DaysOfCode Challenge Complete! Today was all about diving deeper into Python fundamentals. Here's what I learned: ✅ Python Primitive Data Types ✅Type Checking and Type Conversion ✅ Mathematical Operations in Python ✅ Number Manipulation and F-Strings The highlight of my day was building a Tip Calculator! 💡 It's a small project, but it's amazing how much you can accomplish with just a few lines of code. While it may seem like a simple project, it's a solid foundation for more complex applications in the future.
Create beautiful tear sheets with Pyfolio Reloaded. In 8 minutes with 1 line of Python code: You can check out the full video on YouTube here: https://lnkd.in/eHiBAM2V ~~~ Looking to start using Python for systematic trading? Here's a free Crash Course with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/eaayJEfj
Need to download real-time options chains data for free? Use IBRK and ib_insync: Need a little more? Or looking to start using Python for systematic trading? Here's a free Crash Course with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/eaayJEfj
Two weeks ago we traveled to New York to hang out with the Python community at PyData NYC. It was a blast with awesome people and presentations. Along with the booth we had, I gave a presentation on how we use Rust and Python together to power Bytewax. The talk is now available online for the Rust curious! 🦀 Key takeaways: - PyO3 is the secret! - Rust is not as hard as it looks! - There are plenty of tradeoffs between ergonomics and speed. - Python was built for interfacing with foreign code. https://lnkd.in/g8SV3bcT
Day 4 of 20... Today I finally got to use apend() and empty string in my python path. This program 👇👇👇 create and add up items in a cart. https://lnkd.in/dRvb6GZq Common things I learnt: Iterating... Adding things to a string... Displaying things from a list...
There is a new cool update to the DrillEda tool that I shared with you guys two weeks ago! Not only that but there is also a Python library that you can use for free now in your workflow 😁 👌 Watch my latest video to see what's new 👇 : https://lnkd.in/e6VSDbPa
Model the yield curve's evolution with PCA (and Python). The video demonstrates how to use PCA to model the three factors that drive yield curve changes. And when you're ready... Here's a free Crash Course with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/eaayJEfj
Want to automate your trading? Build a robo-advisor using Python: This is a hands-on guide to building (and operating) your own robo-advisor (crazy). Here's the link: https://lnkd.in/eJn-DMbQ ~~~ I built a step-by-step guide to get started with algorithmic trading with Python. Here's a free Ultimate Guide with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/g6qzjFAD
We (me and Michael Chow) gave a PyCon (2024) talk about Great Tables and the recording is 🆙 https://lnkd.in/gS6DwmSC It was truly a lot of fun talking about table-making in Python and how tables made with Great Tables could be both beautiful and functional. In the end, we hope we convinced people that using Great Tables (https://lnkd.in/gpwwys6n): - results in a reproducible reporting workflow (no need to make display tables outside of Python) - can yield beautiful tables, sure to impress most anyone - gives you a plethora of options for structuring and annotating your data for reduced time to insight So, check out the video! (And enjoy Great Tables.)
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