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PYTHON Snippets.

Implement a Basic LRU Cache with `collections.OrderedDict`

Learn to build a simple Least Recently Used (LRU) cache using Python's `collections.OrderedDict`, an efficient data structure for managing cache entries based on access order.

Handling Server-Side OAuth2 Authorization Code Exchange

Securely exchange OAuth2 authorization codes for access tokens on your backend using Python, preventing client-side credential exposure and managing user sessions safely.

Extracting Hashtags from Text

Discover how to extract all hashtags (e.g., #webdev, #python) from a given string using Python's `re` module, ideal for parsing social media content or user inputs.

Parsing Custom Log Entries with Regex Groups

Learn to parse structured data from custom log strings by extracting specific fields like timestamp, level, and message using Python regular expressions with named capturing groups.

Sanitizing HTML Tags from User Input Using Regex in Python

Clean user-submitted text by removing unwanted HTML tags with a Python regular expression, preventing basic XSS vulnerabilities and ensuring plain text content.

Validating IPv4 Addresses with Regular Expressions in Python

Learn to accurately validate IPv4 address formats using a robust regular expression in Python, ensuring correct network address inputs in your applications.

Fetching Paginated API Data Using Python Requests

Learn to efficiently retrieve paginated data from REST APIs using Python's `requests` library, demonstrating how to handle `next` links or page parameters.

Creating Dictionaries with Comprehensions

Efficiently create and transform dictionaries in Python using concise dictionary comprehensions, perfect for processing data and API responses.

Filtering and Mapping Lists with Comprehensions

Use Python list comprehensions for concise filtering and transformation of list elements, streamlining data processing and preparation for web applications.

Building a Stack (LIFO) with Python Lists

Learn to implement a basic Last-In-First-Out (LIFO) stack data structure using Python's built-in list methods like append() and pop().

Representing Hierarchical Data (Trees)

Learn to model hierarchical data structures like file systems or nested comments using Python dictionaries and lists, crucial for web data representation.

Using Frozenset as Dictionary Keys or for Immutable Sets

Leverage Python's `frozenset` for immutable and hashable sets, enabling their use as dictionary keys or as elements within other sets.