Master the Python interview (special banks & startups)

Explore the difference between lists and tuples, including mutability, use cases, and conversions between lists, tuples, and tables; understand how hash functions enable keys in dictionaries.

Master unit testing to verify code early, catch corner cases and bugs, and build a repeatable process with tests, assertions, and coverage.

Learn to handle file operations safely by asking for permission: check existence with isfile, open and process when possible, and print an error if the file is missing.

Explore Python's two loop statements, while and for, with practical cases to choose between them and build finite or infinite iterations using boolean conditions.

Explore break and continue in loops, with for and while examples, and learn how the loop else block runs after a clean exit.

Master the python interview presents a substring exercise that stops at a given letter, using for and while loops, unit tests, and test-driven development concepts.

Implement a function that removes specified characters from a string using a for loop, similar to the first exercise, builds the result, and tests both found and not found cases.

Implement a function that returns a list of (index, value) tuples for a list of strings, using enumerate or a range with a for loop, and a test-driven approach.

Explore boolean expressions and conditional statements in Python, mastering comparisons, boolean operations, and the ternary operator to prepare for interview questions.

Explore performance testing by comparing inserting items into lists versus sets, measuring execution time, and understanding why sets often run slower due to hash checks and duplicates through timing models.

Explore Python data structure comprehensions—list, set, and dictionary—showing how to write concise, elegant one-liners, replace loops, and prepare for interview questions.

Demonstrate generating the sequence 0 0 1 0 1 2 0 1 2 3 via a function and nested loops, then convert to a nested list comprehension and validate with tests in Python.