, Hangman was a really fun game in our home. We would grab a pen and paper and take turns choosing words for the other to guess. Today, it is used in classroom settings to help kids practice their spellings, understand strategic decision making by choosing vowels first, and brainstorm possible words from hints. In …
Image by Author | ChatGPT Working with data is everywhere now, from small apps to huge systems. But handling data quickly and safely isn’t always easy. That’s where Rust comes in. Rust is a programming language built for speed and safety. It’s great for building tools that need to process large amounts of data …
Today in the Gemini app, we’re unveiling a new image editing model from Google DeepMind. People have been going bananas over it already in early previews — it’s the top-rated image editing model in the world. Now, we’re excited to share that it’s integrated into the Gemini app so you have more control than ever …
Google announces native image editing in Gemini app Read More »
post after a while, and I want to start with something that bit me early on. When I was building and shipping my first Generative AI product, I did what most of us do. I hard-coded the prompts. It worked until it didn’t. Every time I wanted to tweak the tone, improve the wording, or fix a …
Image by Author | Ideogram # Introduction A few hours into your work day as a data engineer, and you’re already drowning in routine tasks. CSV files need validation, database schemas require updates, data quality checks are in progress, and your stakeholders are asking for the same reports they asked for yesterday (and the day …
Shortcuts for the Long Run: Automated Workflows for Aspiring Data Engineers Read More »
According to a technical paper from Google, accompanied by a blog post on their website, the estimated energy consumption of “the median Gemini Apps text prompt” is 0.24 watt-hours (Wh). The water consumption is 0.26 milliliters which is about five drops of water according to the blog post, and the carbon footprint is 0.03 gCO2e. …
Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? Read More »
Image by Author When I first started learning about how data science and machine learning could be used outside of finance and marketing, healthcare immediately stood out to me. Not just because it’s a massive industry, but because it literally deals with life and death. That’s when I stumbled into something that kept popping …
Predictive Analytics in Healthcare: Improving Patient Outcomes Read More »
been retained by an insurance company to help refine home insurance premiums across the southeastern United States. Their question is simple but high stakes: which counties are hit most often by hurricanes? And they don’t just mean landfall, they want to account for storms that keep driving inland, delivering damaging rain and spawning tornadoes. To …
Where Hurricanes Hit Hardest: A County-Level Analysis with Python Read More »
Image by Author | Ideogram # Introduction Docker has simplified how we develop, ship, and run applications by providing consistent environments across different systems. However, this consistency comes with a trade-off: debugging becomes deceptively complex for beginners when your applications — including Python applications — are running inside Docker containers. For those new to Docker, …
Debugging Python in Docker: A Tutorial for Beginners Read More »
, you have probably wondered several times how to improve your workflows, how to speed up tasks, and how to output better results. The dawn of LLMs has helped numerous data scientists and ML engineers to not only improve their models but also to help them iterate faster, learn and focus on the tasks that …
Advanced Prompt Engineering for Data Science Projects Read More »
