Master the Python interview (special banks & startups)

Explain the difference between lists and tuples in Python, focusing on mutability versus immutability, memory considerations, indexing, and interview-ready examples.

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.

Walk through an interview exercise to implement a number function using modulo, returning fees for multiples of 3 and buzz for multiples of 5, with unit tests and refactoring.

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.

Examine how a for loop iterates over an iterable, detailing sequences such as lists, tuples, and strings, and explain dictionaries, iterators, and generators in Python.

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.

Master how Python evaluates truth values using the bool function to test booleans, none, zeros, and empty sequences, and understand which values are considered false in conditionals.

Compare lists and sets in Python by noting that both are mutable collections. Lists allow duplicates and preserve insertion order; sets enforce uniqueness and do not support indexing.

Explore how hash tables enforce immutability and hashability in sets, compare sets with lists, and highlight intersection, union, and difference operations.

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 core object oriented concepts in Piscean, including classes, objects, the init method, and instance attributes and methods, plus inheritance and identity checks with isinstance.

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

Python interview teaches test-driven development to build a function that returns numbers between 1 and n, upper bound excluded, divisible by 3, via filtered list comprehensions, and explores nested comprehension.

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.