How to Build the Python Skills That Get You Hired

When you’re learning Python, the sheer volume of topics to explore can feel overwhelming because there’s so much you could focus on. Should you dive into web frameworks before exploring data science? Is test-driven development something you need right away? And which skills actually matter to employers in the age of AI-assisted software development? Python itself is relatively beginner-friendly, but its versatility makes it easy to wander without direction. Without a clear plan, you can spend months studying topics that […]

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Exploring Asynchronous Iterators and Iterables

When you write asynchronous code in Python, you’ll likely need to create asynchronous iterators and iterables at some point. Asynchronous iterators are what Python uses to control async for loops, while asynchronous iterables are objects that you can iterate over using async for loops. Both tools allow you to iterate over awaitable objects without blocking your code. This way, you can perform different tasks asynchronously. In this video course, you’ll: Learn what async iterators and iterables are in Python Create […]

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Quiz: Writing DataFrame-Agnostic Python Code With Narwhals

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share In this quiz, you’ll test your understanding of what the Narwhals library offers you. By working through this quiz, you’ll revisit many of the concepts presented in the Writing DataFrame-Agnostic Code With Narwhals tutorial. Remember, also, the official documentation is a great reference source for the latest Narwhals developments. The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of […]

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Writing DataFrame-Agnostic Python Code With Narwhals

Narwhals is intended for Python library developers who need to analyze DataFrames in a range of standard formats, including Polars, pandas, DuckDB, and others. It does this by providing a compatibility layer of code that handles any differences between the various formats. In this tutorial, you’ll learn how to use the same Narwhals code to analyze data produced by the latest versions of two very common data libraries. You’ll also discover how Narwhals utilizes the efficiencies of your source data’s […]

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Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks. Reinforcement learning (RL) is an approach where AI systems learn to make optimal decisions by receiving rewards or penalties for their actions, improving through  

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Quiz: Python Inner Functions: What Are They Good For?

Interactive Quiz ⋅ 5 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of the Python Inner Functions: What Are They Good For? tutorial. By working through this quiz, you’ll revisit how inner functions work with enclosing scopes, when to use nonlocal to update captured state, how closures retain data across calls, and how decorators wrap a callable to extend behavior. You’ll apply these ideas to organize helpers, reuse state, and write clear, maintainable functions in real […]

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Promptions helps make AI prompting more precise with dynamic UI controls

Anyone who uses AI systems knows the frustration: a prompt is given, the response misses the mark, and the cycle repeats. This trial-and-error loop can feel unpredictable and discouraging. To address this, we are excited to introduce Promptions (prompt + options), a UI framework that helps developers build AI interfaces with more precise user control. Its simple design makes  

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GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI

The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for this transformation. Emerging technologies such as multiplex immunofluorescence (mIF) can assess internal states of individual cells along with their spatial locations, which is critical for deciphering how tumors interact  

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Lazy Imports Land in Python and Other Python News for December 2025

A lot happened last month in the world of Python! The core developers pushed ahead on Python 3.15, accepting PEP 810 to bring explicit lazy imports to the language. PyPI tightened account security, Django 6.0 landed with a slew of new features while celebrating twenty years of releases, and the Python Software Foundation (PSF) laid out its financial outlook and kicked off a year-end fundraiser. Let’s dive into the biggest Python news from the past month! Python Releases and PEP […]

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