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Django
fromInfoWorld
1 week ago

Exciting Python features are on the way

Python 3.15 introduces lazy imports, an immutable frozendict, JIT compiler improvements, and enhanced support for WebAssembly.
Productivity
fromMedium
1 week ago

How to prevent "You've hit your limit" when working with Claude Code

Reaching usage limits in Claude Code can hinder productivity, but there are practical tips to manage and reduce this risk.
Software development
fromInfoWorld
1 week ago

The two-pass compiler is back - this time, it's fixing AI code generation

Multi-pass compilers revolutionized programming by separating analysis and optimization, a model that could enhance AI code generation.
#python
Python
fromPycoders
5 days ago

PyCoder's Weekly | Issue #731

Wallaby enhances Python development with integrated testing, AI context, and tools for machine learning visualization and vector databases.
Data science
fromTheServerSide.com
2 months ago

Why Java devs should switch to Python or R for data science | TheServerSide

Python and R dominate data science front-end work, offering richer ecosystems and easier data analysis than Java for many statistical and machine learning tasks.
Python
fromThepythoncodingstack
2 months ago

What's The Point of `itemgetter()` in Python? * [Club]

itemgetter provides a concise callable to extract items from sequences or mappings, offering clearer and often faster alternatives to equivalent lambda functions.
Python
fromPycoders
5 days ago

PyCoder's Weekly | Issue #731

Wallaby enhances Python development with integrated testing, AI context, and tools for machine learning visualization and vector databases.
Web frameworks
fromInfoWorld
3 weeks ago

PEP 816: How Python is getting serious about Wasm

Python will now formally support WebAssembly standards through PEP 816, enhancing its usability in browser applications.
Python
fromInfoWorld
1 month ago

Speed boost your Python programs with new lazy imports

Lazy imports in Python create a proxy object that delays the actual import until the module is needed.
Python
fromMouse Vs Python
1 month ago

The Python Show - Python Illustrated - Mouse Vs Python

Two sisters collaborated on a beginner's book about Python, with one writing and the other illustrating.
#django
Django
fromPycoders
1 week ago

PyCoder's Weekly | Issue #730

Django's type hints integration is complex due to its early release before Python's standardization.
Django
fromPycoders
3 weeks ago

PyCoder's Weekly | Issue #728

Django projects can be improved with Alpine AJAX and friendly classes for better code quality and maintainability.
Django
fromPycoders
1 week ago

PyCoder's Weekly | Issue #730

Django's type hints integration is complex due to its early release before Python's standardization.
Django
fromPycoders
3 weeks ago

PyCoder's Weekly | Issue #728

Django projects can be improved with Alpine AJAX and friendly classes for better code quality and maintainability.
Software development
fromInfoQ
3 weeks ago

Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

Dynamic languages like Ruby, Python, and JavaScript are faster and cheaper for AI coding tasks compared to statically typed languages.
JavaScript
fromPythonSpeed
3 weeks ago

Timesliced reservoir sampling: a new(?) algorithm for profilers

Random sampling from an unknown-length event stream can effectively identify relevant information without storing all data.
Python
fromPycoders
2 weeks ago

PyCoder's Weekly | Issue #729

SerpApi provides structured JSON from search engines, simplifying data retrieval for AI applications.
Python
fromThe JetBrains Blog
2 weeks ago

How to Train Your First TensorFlow Model in PyCharm | The PyCharm Blog

TensorFlow is an open-source framework for building and deploying machine learning models using tensors and high-level libraries like Keras.
JavaScript
fromMedium
1 month ago

Metaprogramming: teaching the compiler to explain your data.

Contextual information enhances debugging by providing field names, types, and nested structures.
#ai-assisted-coding
Artificial intelligence
fromMedium
1 month ago

The AI Coding Pitfalls Report: Facts, Trivia, and Structural Solutions

Engineers must shift from treating LLMs as chatbots to treating them as compilers, implementing a dedicated diagnostic phase to identify AI-specific defects before code merges.
Artificial intelligence
fromMedium
1 month ago

The AI Coding Pitfalls Report: Facts, Trivia, and Structural Solutions

Engineers must shift from treating LLMs as chatbots to treating them as compilers, implementing a dedicated diagnostic phase to identify AI-specific defects before code merges.
Python
fromPycoders
1 month ago

PyCoder's Weekly | Issue #727

Jazzband is winding down due to the overwhelming number of AI submissions affecting its cooperative model.
Software development
fromInfoWorld
1 month ago

I ran Qwen3.5 locally instead of Claude Code. Here's what happened.

Smaller, efficient LLMs like Qwen3.5 can run on consumer-grade PCs for local development, but setup complexity and IDE integration remain challenging barriers to widespread adoption.
fromMedium
2 months ago

Algorithms Are Just Real Life, Formalized

Which Algorithm Is This? If you step back, this maps almost perfectly to the Top K Frequent Elements problem.We usually solve it for integers in a list. Here, the "elements" are audience profiles age and body-type combinations. First, define what an audience profile looks like: case class Profile(age: Int, height: Int, weight: Int) What we want is a function like this:
Scala
Web development
fromTheregister
2 months ago

Anthropic's AIbuilt C compiler is not all that impressive

Anthropic's AI-built C compiler is largely a demo, replicating existing knowledge and failing practical basics; it does not signal a revolution in software engineering.
Artificial intelligence
fromZDNET
2 months ago

7 AI coding techniques that quietly make you elite

Agentic AI tools make a single developer far more productive, enabling rapid cross-platform product creation by encoding design systems, user profiles, and permanent bug lessons.
Python
fromMouse Vs Python
6 months ago

An Intro to Python 3.14's New Features - Mouse Vs Python

Python 3.14 introduces free-threaded builds, an experimental JIT compiler, and replaces GPG signatures with Sigstore verification.
fromPycoders
2 months ago

PyCoder's Weekly | Issue #720

subprocess module relies on busy-loop polling to determine whether a process has completed yet. Modern operating systems have callback mechanisms to do this, and Python 3.15 will now take advantage of these.
Web frameworks
Artificial intelligence
fromInfoWorld
2 months ago

First look: Run LLMs locally with LM Studio

LM Studio provides integrated model discovery, in-app download and management, memory-aware filtering, and configurable inference settings for CPU threads and GPU layer offload.
Artificial intelligence
fromTechCrunch
2 months ago

Running AI models is turning into a memory game | TechCrunch

Rising DRAM prices and sophisticated prompt-caching orchestration make memory management a critical cost and performance factor for large-scale AI deployments.
fromInfoWorld
1 month ago

What I learned using Claude Sonnet to migrate Python to Rust

If there's one universal experience with AI-powered code development tools, it's how they feel like magic until they don't. One moment, you're watching an AI agent slurp up your codebase and deliver a remarkably sharp analysis of its architecture and design choices. And the next, it's spamming the console with "CoreCoreCoreCore" until the scroll-back buffer fills up and you've run out of tokens.
Software development
Python
fromPythonSpeed
1 month ago

Speeding up NumPy with parallelism

Combine CPU-core parallelism and algorithmic optimization (e.g., Numba) to substantially speed up NumPy computations and reduce memory usage.
fromTechzine Global
2 months ago

What's wrong (and right) with AI coding agents

This is a state where we see that the teams that move fastest will be the ones with clear tests, tight review policies, automated enforcement and reliable merge paths. Those guardrails are what make AI useful. If your systems can automatically catch mistakes, enforce standards, and prove what changed and why, then you can safely let agents do the heavy lifting. If not, you're just accelerating risk,
Software development
Python
fromInfoWorld
2 months ago

CPython vs. PyPy: Which Python runtime has the better JIT?

PyPy remains far faster for raw numerical workloads, but CPython's new native JIT and no-GIL builds close the gap in other workloads and enable threading.
Software development
fromPybites
2 months ago

How To Automate Python Performance Benchmarking In Your CI/CD Pipeline - Pybites

Treat performance as a quality gate: use deterministic benchmarks, enforce PR performance limits, and add AI-aware guardrails to prevent regressions.
Python
fromRealpython
1 month ago

Threading in Python Quiz - Real Python

An interactive 10-question quiz assesses understanding of Python threading concepts including thread creation, ThreadPoolExecutor, locks for race condition prevention, and queue-based producer-consumer patterns.
Software development
fromInfoWorld
2 months ago

8 reasons developers love Go-and 8 reasons they don't

Go is a simple, C-like programming language created at Google to simplify building concurrent, networked, large-scale software with safety, performance, and easy learning.
Python
fromPythonmorsels
2 months ago

All iteration is the same in Python

All Python iteration forms use the same iterator protocol; iterating over an object yields its defined iteration items (e.g., dictionary yields keys, string yields characters).
Python
fromThe JetBrains Blog
7 months ago

The Most Popular Python Frameworks and Libraries in 2025 | The PyCharm Blog

FastAPI leads Python framework usage in 2024 with 38%, offering high-performance async APIs, type safety, auto-generated docs, and strong ML deployment support.
Python
fromPycoders
2 months ago

PyCoder's Weekly | Issue #721

Text classification and compression converge via incremental compressors; Python 3.14's zstd support enables experimenting with ML through compression.
fromNedbatchelder
3 months ago

Testing: exceptions and caches

Kacper Borucki blogged about parameterizing exception testing, and linked to pytest docs and a StackOverflow answer with similar approaches. The common way to test exceptions is to use pytest.raises as a context manager, and have separate tests for the cases that succeed and those that fail. Instead, this approach lets you unify them. I tweaked it to this, which I think reads nicely: One parameterized test that covers both good and bad outcomes. Nice.
Python
fromInfoQ
2 months ago

Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics

Pandas 3.0 changes core behaviors: introduces a dedicated str dtype, formal Copy-on-Write semantics, pd.col() expressions, revised datetime resolution, and Arrow zero-copy support.
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