Find a String in a Python List: Exact, Partial, and Case-Insensitive
Find strings in a Python list with in, index, any, and comprehensions while choosing exact, substring, case-insensitive, and duplicate-match behavior.
Tutorials
Browse Python tutorials for beginners and working developers, including syntax, libraries, examples, projects, and real problem-solving guides.
Carriage Return in Python: Newlines, splitlines(), and Output
Understand carriage return in Python, use splitlines(), normalize CRLF text, preserve file endings, update terminal progress, and handle CSV files.
Python String to Variable Name: Use Dictionaries Safely
Map Python strings to values with dictionaries or object attributes, validate names, and understand why globals(), locals(), and exec() are fragile choices.
Check Data Type in Python: type() and isinstance()
Check Python types with type() for exact identity, isinstance() for compatible classes, and explicit value or behavior validation.
Print a Blank Line in Python: Newlines and Output Formatting
Print blank lines in Python with print, newline characters, separators, and logging while keeping terminal output readable and predictable.
Empty String in Python: Check, Strip, and Validate Text
Detect empty Python strings while keeping empty text, whitespace-only input, missing None, and meaningful content separate.
Python list.pop(): Remove and Return Items Safely
Use Python list.pop() with indexes, stacks, queues, empty-list checks, negative indexes, and alternatives that match the workload.
Prime Factorization in Python: Trial Division and Efficient Checks
Find prime factors in Python with trial division, handle repeated factors, stop at the square root, and validate edge cases such as 1 and negative inputs.
Python String __contains__(): Use in for Substring Checks
Understand Python string __contains__(), use the clearer in operator for substrings, handle case sensitivity, and avoid incorrect membership assumptions.
Python Count Unique Values in a List: set(), Counter, and Unhashable Data
Count unique Python list values with set() or Counter, normalize strings, preserve order, and handle lists or dictionaries that are unhashable.