Data

Methods to Use Easy Data Contracts in Python for Data Scientists

Let’s be honest: we've all been there. It’s Friday afternoon. You’ve trained a model, validated it, and deployed the inference pipeline. The metrics look green. You close up your laptop for the weekend, and luxuriate...

Data Science in 2026: Is It Still Value It?

about switching to Data Science in 2026? If the reply is “yes,” this text is for you. I’m Sabrine. I even have spent the last 10 years working within the AI field across Europe—from big...

Scuffling with Data Science? 5 Common Beginner Mistakes

data science, to begin with well done. You’ve chosen probably the most lucrative and fast-growing careers in tech. But here’s the reality: most students waste months (even years) spinning their wheels on the incorrect things. Avoid...

Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair)

It’s time to begin constructing your personal data visualizations. In this text, I'll walk through the strategy of visualizing time-series data in Python intimately. If you might have not read the previous articles in...

TDS Newsletter: Find out how to Construct Robust Data and AI Systems

Never miss a brand new edition of , our weekly newsletter featuring a top-notch choice of editors’ picks, deep dives, community news, and more. Many practitioners wish to jump headfirst into the nitty-gritty details of...

Natural Language Visualization and the Way forward for Data Evaluation and Presentation

has been like classical art. We used to commission a report from our data analyst—our Michelangelo—and wait patiently. Weeks later, we received an email with an impressive hand-carved masterpiece: a link to a...

The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)

of the universe (made by one of the vital iconic singers ever) says this: Wish I could returnAnd alter these yearsI’m going through changesBlack sabbath – Changes This song is incredibly powerful and talks about...

Evaluating Synthetic Data — The Million Dollar Query

synthetic data generation, we typically create a model for our real (or ‘observed’) data, after which use this model to generate synthetic data. This observed data is often compiled from real world experiences,...

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