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A Gentle Introduction to Docker for Python Developers

Image by Author | Ideogram   Contents# Introduction# How Docker Works and Why You Need It# Building a Python Web API# Writing Your First Dockerfile# Building and Running Your First Container# Essential Docker Commands for Daily Use# Some Docker Best Practices That Matter# Wrapping Up # Introduction  You just pushed your Python app to production, and suddenly everything breaks. The app worked perfectly on …

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Agentic AI and the Future of Python Project Management Tooling

, data scientists working in the Python ecosystem would routinely juggle multiple tools to carry out basic project management tasks, from creating virtual environments with venv and installing dependencies with pip or conda, to building and publishing packages with setuptools and twine. Nowadays, much of this can be accomplished quickly using a single tool such …

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Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

exploring features in the OpenAI Agents SDK framework, there’s one capability that deserves a closer look: input and output guardrails. In previous articles, we built our first agent with an API-calling tool and then expanded into a multi-agent system. In real-world scenarios, though, building these systems is complex—and without the right safeguards, things can quickly …

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Most Candidates Fail These SQL Concepts in Data Interviews

Image by author | Canva   An interviewer’s job is to find the most suitable candidates for the advertised position. In doing so, they will gladly set up SQL interview questions to see if they can catch you off guard. There are several SQL concepts at which candidates often fail. Hopefully, you’ll be one of …

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Using AI to perceive the universe in greater depth

Science Published 4 September 2025 Authors Brendan Tracey, Jonas Buchli Our novel Deep Loop Shaping method improves control of gravitational wave observatories, helping astronomers better understand the dynamics and formation of the universe. To help astronomers study the universe’s most powerful processes, our teams have been using AI to stabilize one of the most sensitive …

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Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2

wonder why we would want to model a temperature time series as an Ornstein-Uhlenbeck process, and if this has any practical implications. Well, it does. While the O-U process is used in Physics to model the velocity of particles under friction, it is also used in finance to model interest rates, volatility, or spread mean …

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Creating Slick Data Dashboards with Python, Taipy & Google Sheets

Image by Author | Ideogram   Contents# Introduction# Developing a Slick Data Dashboard# Wrapping Up # Introduction  Data has become a vital resource for any business, as it provides a means for companies to gain valuable insights, particularly when making decisions. Without data, decisions rely solely on instinct and luck, which is not the most effective approach. However, vast …

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The Generalist: The New All-Around Type of Data Professional?

(or 2010s to be more precise) big-data boom brought the emergence of specialization in data roles. What used to be solely described as “Business Intelligence Engineer” was further broken down into Business Intelligence Engineers/Analysts, Data Engineers/Analysts, Data Scientists etc. The reason for this? The abundance of data, and the multidisciplinary responsibilities that come with it, …

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7 Beginner Machine Learning Projects To Complete This Weekend

Image by Editor | ChatGPT   Contents# Introduction# 1. Predicting Titanic Survival# 2. Predicting Stock Prices# 3. Building an Email Spam Classifier# 4. Recognizing Handwritten Digits# 5. Building a Movie Recommendation System# 6. Predicting Customer Churn# 7. Detecting Faces in Images# Conclusion # Introduction  Machine learning is one of the most transformative technologies of our time, driving innovation in everything from healthcare and finance to …

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