- Master Python with tutorials and tips on CodeStips.
Learn to use Python generators for memory-efficient iteration over large datasets or streams, from basic syntax to advanced applications.
Python's help() function provides interactive documentation and explanations for modules, functions, classes and keywords, making coding easier and more efficient.
Explore Python's built-in html.parser module for lightweight, no-dependency HTML parsing without third-party tools like BeautifulSoup.
Python identity (is) checks if objects are the same, while equality (==) checks if their values match. Understanding this distinction helps prevent bugs and write more efficient code.
Integers are whole numbers, while floats are decimals. Use int for counting and floats for precision, but be wary of floating-point rounding errors in calculations.
itertools is Python's hidden gem for efficient and elegant iteration, replacing nested loops with clean, fast, and Pythonic code through powerful iterator-building functions.
Python uses automatic memory management with garbage collection via reference counting and generational cycles for efficiency. Key concepts include object allocation, reference tracking, and performance optimization for large datasets.
Learn how Python's "import as" lets you create shorter or clearer module names to simplify and avoid naming conflicts in your code.
Python multithreading enables concurrent execution but is limited by the Global Interpreter Lock (GIL). It's best for I/O-bound tasks, not CPU-intensive ones, and requires careful handling.
Learn essential number types, math operations, and built-in functions in Python to strengthen your programming skills and handle numeric data effectively.