Learn Python Coding

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✨ wheel | Python Tools ✨ 📖 Reference implementation and CLI for the Python wheel format. 🏷️ #Python

✨ build | Python Tools ✨ 📖 A Python packaging frontend that uses project settings from pyproject.toml. 🏷️ #Python

Checking the reliability of a password with Python! Sometimes you need to quickly check how secure a password is. Let's look at a simple example using regular expressions - a good opportunity to practice with re and conditional logic. Import the module:

import re

Create a password check function:

def check_password_strength(password):
    length = len(password) >= 8
    upper = re.search(r"[A-Z]", password)
    lower = re.search(r"[a-z]", password)
    digit = re.search(r"\d", password)
    special = re.search(r"[@$!%*?&]", password)

    if all([length, upper, lower, digit, special]):
        return "✅ Reliable password"
    else:
        return "⚠️ Weak password"

Check a few examples:

print(check_password_strength("Qwerty123"))
print(check_password_strength("Qw!8zYt@1"))

Output example:

⚠️ Weak password  
✅ Reliable password

🔥 Example of how to check a string for compliance with several conditions using code - and practice with regular expressions. 🚪 @DataScience4

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✨ Invoke | Python Tools ✨ 📖 A Python library and command-line tool that lets you define reusable tasks. 🏷️ #Python

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✨ Positron | Code Editors & IDEs ✨ 📖 A free, modern integrated development environment (IDE) for data science. 🏷️ #Python

✨ Nox | Python Tools ✨ 📖 A command-line tool that automates running tasks like testing and linting. 🏷️ #Python

✨ Wing IDE | Code Editors & IDEs ✨ 📖 An integrated development environment (IDE) for Python. 🏷️ #Python

✨ absolute import | Python Glossary ✨ 📖 Uses a module’s full path from your project’s top-level package. 🏷️ #Python

✨ doit | Python Tools ✨ 📖 A Python task runner and build tool. 🏷️ #Python

A cheat sheet about functions and techniques in Python: shows useful built-in functions, working with iterators, strings, and collections, as well as popular tricks with unpacking, zip, enumerate, map, filter, and dictionaries @DataScience4

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