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Posts tagged with "python"

There are a total of 40 posts.

When Django Admin Search Gets Frustrating: Creating a Mixin to Search Specific Fields Only

2026-02-10

When Django Admin Search Gets Frustrating: Creating a Mixin to Search Specific Fields Only

When Django Admin's default search returns too many unrelated hits, this mixin lets you search by specific fields using a `field:value` syntax and shlex for quoted terms. It preserves existing search_fields lookup rules while implementing AND/OR logic, dramatically improving search efficiency.

#python #django admin #field:value #shlex +2
[Python Standard Library - 5] Working with Numbers: Using math and statistics

2026-02-02

[Python Standard Library - 5] Working with Numbers: Using math and statistics

Explore Python’s built‑in math and statistics modules to handle floating‑point quirks, rounding, isclose, fsum, combinatorics, weighted means, and more. Practical examples and common pitfalls are covered for beginners and professionals alike.

#python #math #statistics #float +2
Python Standard Library – 4: Mastering the random Module (Selection, Sampling, Shuffling, Reproducibility)

2026-02-02

Python Standard Library – 4: Mastering the random Module (Selection, Sampling, Shuffling, Reproducibility)

Explore Python’s built‑in random module for selecting, sampling, shuffling, and weighted choices, plus how to achieve reproducibility with seed or Random instances. Learn why secrets is the right tool for cryptographic‑safe randomness.

#python #standard library #random #secrets +3
[Python Standard Library - 3] Handling Time with Python: datetime

2026-01-30

[Python Standard Library - 3] Handling Time with Python: datetime

A concise, step‑by‑step guide to Python’s datetime module—covering creation, duration math, formatting, time‑zone handling, and common pitfalls. Ideal for beginners and intermediate users alike.

#python #datetime #timezone #zoneinfo +3
[Python Standard Library – 2] Data Storage & Serialization: JSON, Pickle, CSV

2026-02-02

[Python Standard Library – 2] Data Storage & Serialization: JSON, Pickle, CSV

Learn how to use Python’s built‑in `json`, `pickle`, and `csv` modules for data storage and serialization. This guide covers each module’s features, usage examples, pros and cons, and a clear decision matrix to help you pick the right format for your data and purpose.

#python #json #pickle #csv +2
[Python Standard Library – 1] Mastering File System & OS Environments: pathlib vs os

2026-01-29

[Python Standard Library – 1] Mastering File System & OS Environments: pathlib vs os

Explore how Python’s pathlib and os modules work together to manage file systems and OS environments. Learn best practices, real‑world examples, and why combining pathlib for paths with os for environment control is the optimal pattern.

#python #pathlib #environment variables #os +3
[Python Standard Library – 0] What Is the Python Standard Library? A Beginner’s Guide

2026-01-29

[Python Standard Library – 0] What Is the Python Standard Library? A Beginner’s Guide

Discover Python’s powerful toolbox – the Standard Library – with a beginner‑friendly guide. Learn the difference from built‑in functions, practical tips, and a roadmap of core modules to boost productivity and portability in real projects.

#python #standard library #productivity #developer +2
Clearing Up the gettext vs gettext_lazy Confusion in Django (Understanding When Translation Happens)

2026-01-05

Clearing Up the gettext vs gettext_lazy Confusion in Django (Understanding When Translation Happens)

Clear up the confusion between Django’s `gettext` and `gettext_lazy`. Learn when to translate immediately versus lazily, avoid common pitfalls with module constants, model fields, and form labels, and master tools like `format_lazy` and `force_str` for robust i18n implementation.

#django #python #i18n #gettext_lazy +3

2025-12-24

from __future__ import annotations – The Future of Python Type Hints

Explore how `from __future__ import annotations` enables lazy evaluation of Python type hints, its evolution from PEP 563 to PEP 649, and practical tips for handling circular references and large projects. Understand why it’s essential for Python 3.7‑3.10 and how it becomes default in 3.11+.

#python #pep 563 #pep 649 #from __future__ import annotations +3
Lightweight Docker Images with Django and Tailwind CSS: A Multi‑Stage Build Strategy

2025-12-04

Lightweight Docker Images with Django and Tailwind CSS: A Multi‑Stage Build Strategy

Learn how to keep your Django + Tailwind CSS Docker images lightweight by using a three‑stage multi‑stage build. Node.js is confined to the build phase, leaving a pure Python runtime for production, which reduces image size and improves security.

#django #python #docker #image optimization +3
Anaconda? Miniconda? What Should You Start With? A Practical Guide to Managing conda Environments with Miniconda

2025-11-24

Anaconda? Miniconda? What Should You Start With? A Practical Guide to Managing conda Environments with Miniconda

When managing Python development environments with conda, this guide explains the differences between Anaconda and Miniconda and details step-by-step methods for creating, deleting, cloning, and migrating conda environments based on Miniconda. It introduces patterns for starting light and expanding as needed.

#python #anaconda #miniconda #conda +2
Understanding `tests.py` for Django Developers

2025-11-23

Understanding `tests.py` for Django Developers

This post summarizes the role and usage of the automatically generated `tests.py` file in Django apps. Explore how to write tests, execute them, structure them into packages, and see real-world examples.

#django #python #tests #unittest +1
Confronting the Essence of Django - Why `HttpResponse` is the 'Fundamental'

2025-11-22

Confronting the Essence of Django - Why `HttpResponse` is the 'Fundamental'

Explore the core reasons and roles of HttpResponse in Django. This article explains how the HttpResponse object connects requests and responses and performs essential functions in web applications.

#django #python #httpresponse
Understanding and Utilizing Python Wheel to Speed Up Docker Builds

2025-11-20

Understanding and Utilizing Python Wheel to Speed Up Docker Builds

This article presents how to significantly improve Docker build speeds using Python Wheel, step by step, including tips on Wheel creation, cache utilization, and multi-stage builds.

#python #docker #optimization #devops +2
A Comprehensive Guide to Python's `urlparse()` - The Essential Tool for URL Analysis

2025-11-18

A Comprehensive Guide to Python's `urlparse()` - The Essential Tool for URL Analysis

This blog post explains how to parse and analyze URLs using Python's `urlparse()` function, covering components, parameter extraction, normalization, and security considerations with practical examples.

#python #web development #urlparse #url parsing +1