🐍📰 Python args and kwargs: Demystified

In this step-by-step tutorial, you'll learn how to use args and kwargs in Python to add more flexibility to your functions

#python

Link: https://realpython.com/python-kwargs-and-args/

https://news.1rj.ru/str/DataScience4 ⭐️

🐍📰 Python Mappings: A Comprehensive Guide

https://realpython.com/python-mappings/

#python

https://news.1rj.ru/str/DataScience4 ❤️

Regular Expressions in Python

Regular expressions (regex) in #Python are used for searching, matching, and manipulating strings based on patterns. In Python, regular expressions are implemented in the re module.

Main functions of the re module:

🔸re.match(): Checks if the beginning of a string matches a given pattern.
🔸re.search(): Searches for a pattern in a string and returns the first matching object found.
🔸re.findall(): Finds all occurrences of a pattern in a string and returns them as a list.
🔸re.finditer(): Finds all occurrences of a pattern and returns them as an iterator.
🔸re.sub(): Replaces all occurrences of a pattern with a given string.
🔸re.split(): Splits a string by a given pattern.

Usage examples:

import re

# Example string
text = "The rain in Spain falls mainly in the plain."

# 1. re.match()
match = re.match(r'The', text)
if match:
    print("Match found:", match.group())
else:
    print("No match found")

# 2. re.search()
search = re.search(r'rain', text)
if search:
    print("Search found:", search.group())
else:
    print("No search found")

# 3. re.findall()
findall = re.findall(r'in', text)
print("Findall results:", findall)

# 4. re.finditer()
finditer = re.finditer(r'in', text)
for match in finditer:
    print("Finditer match:", match.group(), "at position", match.start())

# 5. re.sub()
substitute = re.sub(r'rain', 'snow', text)
print("Substitute result:", substitute)

# 6. re.split()
split = re.split(r'\s', text)
print("Split result:", split)

Explanation of the example:

> re.match(r'The', text): Checks if the string text starts with "The".
> re.search(r'rain', text): Searches for the first occurrence of "rain" in the string text.
> re.findall(r'in', text): Finds all occurrences of "in" in the string text.
> re.finditer(r'in', text): Returns an iterator that iterates over all occurrences of "in" in the string text.
> re.sub(r'rain', 'snow', text): Replaces all occurrences of "rain" with "snow" in the string text.
> re.split(r'\s', text): Splits the string text by spaces (whitespace characters).

Additional pattern examples:

\d: Any digit.
\D: Any character except a digit.
\w: Any letter, digit, or underscore.
\W: Any character except a letter, digit, or underscore.
\s: Any whitespace character.
\S: Any non-whitespace character.
.: Any character except a newline.
^: Start of the string.
$: End of the string.
*: 0 or more repetitions.
+: 1 or more repetitions.
?: 0 or 1 repetition.
{n}: Exactly n repetitions.
{n,}: n or more repetitions.
{n,m}: Between n and m repetitions.

Regular expressions are a powerful tool for working with text and can be useful in a wide range of tasks, from simple input validation to complex text parsing. 💊

🐍📰 Python String Formatting: Available Tools and Their Features

https://realpython.com/python-string-formatting/

#python

https://news.1rj.ru/str/DataScience4 💙

Stelvio v0.3.0 is here!

The easiest way to deploy a Python application on AWS.

Only Python.
No YAML. No JSON. No clicking around in the AWS Console.

✓ CLI with no prior setup
✓ Environment support

Watch how I deploy an API from an empty folder — in less than 60 seconds.

Try it right now 💊

Documentation: https://docs.stelvio.dev

GitHub: https://github.com/michal-stlv/stelvio/

👉 https://news.1rj.ru/str/DataScience4 🌟

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

✅ https://news.1rj.ru/str/Codeprogrammer

Clean code advice for Python:

Do not add redundant context.
Avoid adding unnecessary data to variable names, especially when working with classes.

Example:

This is bad:

class Person:
    def __init__(self, person_first_name, person_last_name, person_age):
        self.person_first_name = person_first_name
        self.person_last_name = person_last_name
        self.person_age = person_age

This is good:

class Person:
    def __init__(self, first_name, last_name, age):
        self.first_name = first_name
        self.last_name = last_name
        self.age = age

👉 @DataScience4

python-docx: Create and Modify Word Documents #python

python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.

Installation

pip install python-docx

Example

from docx import Document

document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")

document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'

https://news.1rj.ru/str/DataScienceN 🚗

Get a weather forecast without API and complex settings in Python

We use the wttr.in: https://github.com/chubin/wttr.in

service — a simple and powerful tool that shows the weather right in the console.

To work with the HTTP request, you only need one library - requests. Installing it is very easy:

pip install requests

Here is the minimal and clear code to get the forecast:

import requests

city = input("Enter the city name: ")
url = f"https://wttr.in/{city}"

try:
    response = requests.get(url)
    print(response.text)
except Exception:
    print("Oops! Something went wrong. Please try again later.")

Just enter the desired city and get a detailed forecast with temperature, precipitation

Try it yourself 😏

https://news.1rj.ru/str/DataScience4 🌟

Django REST Framework and Vue versus Django and HTMX

https://testdriven.io/blog/drf-vue-vs-django-htmx/

Learn how the development process varies between working with Django REST Framework and Vue versus #Django and #HTMX.

https://news.1rj.ru/str/DataScience4 🌟

Building a Real-time Dashboard with FastAPI and Svelte

In this tutorial, you'll learn how to build a real-time analytics dashboard using FastAPI and Svelte. We'll use server-sent events (SSE) to stream live data updates from FastAPI to our Svelte frontend, creating an interactive dashboard that updates in real-time.

Start: https://testdriven.io/blog/fastapi-svelte/

https://news.1rj.ru/str/DataScience4 😡

🐍📰 What Are Mixin Classes in Python?

Learn how to use Python mixin classes to write modular, reusable, and flexible code with practical examples and design tips

https://realpython.com/python-mixin/

https://news.1rj.ru/str/DataScience4 🍏