#python

#python

The introduction of async/await in Python has exposed many more developers to concurrent programming, making the problem of concurrency more visible and approachable. However, it also involves complex internal machinery and requires developers to adapt to colored functions, which can complicate usage.

Dunder methods, or double-underscore methods, serve as hooks for customizing Python behavior, allowing programmers to define or modify functionalities like equality and comparison.

In Python, a closure is typically a function defined inside another function that grabs the objects defined in its enclosing scope and associates them with the inner function.

In Python, every object is either truthy or falsy. When using the built-in bool(), truthy objects return True and falsy objects return False.

SQLModel is a library for interacting with databases through Python objects and type annotations, eliminating the need to write direct SQL queries.

The task coded in Go optimized from O(n²) to O(n) contrasts with Python, questioning whether an interpreted language can match the performance of a compiled one.

The executable gunicorn could not be found, despite being listed in requirements.txt and confirmed committed and pushed.

The special file __init__.py serves as a marker to indicate that its containing directory is a regular package. When people talk about a package in Python, they generally mean a regular package.

The Gang of Four design patterns specify object-oriented solutions to common issues in code, yet Python lacks many of the problems these solutions address.

Speeding up code can be achieved through various practices: Efficiency eliminates wasteful calculations, Compilation leverages compiled languages, Parallelism utilizes multiple CPU cores, and Process enhances development methods.

String templates are strings containing placeholders that can be populated with specific values dynamically at runtime, used for generating textual content.

To create a barebones Sphinx site, run the command sphinx-quickstart NAME_OF_SITE_FOLDER inside your virtual environment. It will ask you a series of questions.

Trey Hunter has compiled a comprehensive list of cheat sheet articles on his Python Morsels blog, offering valuable resources for Python developers looking to enhance their skills.

Google's newly launched Python client library for Data Commons helps developers easily query and integrate statistical data from over 200 datasets, supporting custom instances.

The structure of your Python script should include inline metadata as defined in PEP 723 to facilitate automatic environment creation and dependency management.

Modern language tooling demands a real-time feedback loop that Python can't always deliver at the speed required. Rust fills that gap.

Avoid performance regressions in your Python app by staying on top of Postgres maintenance. This monthly checklist outlines what to monitor, how to catch slow queries early.

DuckDB provides a powerful, seamless way to manage large datasets in Python, utilizing OLAP optimization for enhanced data handling and query capabilities.

The Python Language Summit led at PyCon highlighted key discussions among Python developers, shaping the future trajectory and addressing security concerns in the community.

Back in the early days of Talk Python To Me, the original theme song by Smixx became iconic, but I had to remove it. Now, I'm excited to announce a new theme song that captures our tech journey and the evolution of Python! This new song, 'Served In A Flask', involves references to moving from Pyramid to Quart, embracing modern Python concepts like Pydantic and async/await.

Cybersecurity researchers have discovered a malicious package on the Python Package Index (PyPI) repository that's capable of harvesting sensitive developer-related information, such as credentials, configuration data, and environment variables, among others.

Marimo notebooks provide an innovative approach to interactivity in coding, featuring sandboxing for environment management and enabling reproducibility in sharing notebooks.

For testing large Python objects, ensure you're unit testing everything retrieved, especially when data in reports doesn't match the database query.

The 6th edition of 'Create GUI Applications with Python & Qt' updates the content for PyQt6 & PySide6, incorporating newer Python features and extended examples.

In programming, multithreading refers to the ability of a program to execute multiple sequential tasks concurrently. However, multithreading in Python is limited because of the Global Interpreter Lock (GIL).

The key point here is to create an instance of ET.XMLParser and set insert_comments to True. Then the code will work.

The word count command (wc) is a foundational utility for counting lines, words, and bytes in files. This exercise explores its design via Python.