Use Python sets to ensure unique collections: learn add(), update(), common pitfalls, performance tips, and real-world examples for clean, efficient code.
Learn how to use Python context managers (`with`), build custom managers, and handle exceptions to manage resources safely and cleanly.
Learn how to pretty print JSON in Python using built-in modules like json and pprint for readable output in scripts and logs.
Learn what Python decorators are, how they work, and how to use them effectively in your code.
Understand the difference between Python modules and packages, learn when to use each, and organize your code effectively.
Convert JSON to Python dict with json.loads, error handling, streaming large files, and performance tips using orjson or ujson.
Learn how to write strings to files in Python using open(), write(), and context managers for efficient file I/O.
Save data to CSV in Python using csv.writer, DictWriter, encoding tips, and performance best practices.
Learn how to use Python’s lambda functions with sorted() and list.sort() for flexible, custom sorting of numbers, strings, dicts, and more.
Learn how to get the index of an item in a Python list with built-in methods, error handling, custom functions, and performance tips.
Append items to Python dictionaries using update(), setdefault(), defaultdict, dict unpacking, and best practices for clean, predictable code.
Learn how to generate and manage UUIDs in Python using the uuid module, covering versions, formatting, techniques, and best practices.
Learn various ways to check if a list is empty in Python using len(), truthiness checks, comparisons, and best practices.
Learn how to use Python's one-line if-else (ternary) expression for concise conditionals with examples, best practices, and tips.
Learn how to iterate with an index in Python using enumerate, range, and tips for clean, error-free loops.
Learn to use Python's requests.get to fetch HTTP data, handle params, parse JSON, and manage errors effectively.
Learn the Python MVC pattern: architecture, components, and implementation tips for scalable web applications.
Easily convert HTML to Markdown in Python with libraries like markdownify, html2text, or custom BeautifulSoup examples.
Compare Python's str.isdigit and str.isnumeric methods, learn differences, edge cases, and best use cases for validating numeric strings.
Learn how to use Python's queue module for threading, multiprocessing, priority queues, and asyncio with practical examples.
Learn to send emails with Python's smtplib: setup, message crafting, SSL/TLS, attachments, error handling, and best practices.
Learn how to implement and use a Python override decorator for better method overriding, maintainability, and runtime checks in your OOP code.
Learn ways to convert Python objects to dict via __dict__, dataclasses.asdict, json, custom methods and libraries.
Learn various methods to uppercase the first letter of strings in Python, handling edge cases and performance tips for clean, reliable code.
Use append, extend, and insert to push items into Python lists efficiently and flexibly.
Comment multiple lines in Python using triple quotes, `#` toggles, editor shortcuts, and scripts to keep your code clear and maintainable.
Learn multiple methods to install cv2 (OpenCV) in Python using pip, conda, or source builds, with virtual environment tips and troubleshooting.
Learn to safely delete files in Python using os.remove, pathlib, and shutil with robust error handling and best practices.
Learn quick methods to check your installed Python version on macOS, Linux, Windows, and virtual environments.
Learn how to save Python dictionaries as JSON files using the json module, handle errors, and customize output for clarity.