Python Programming with HackerRank: From Zero to Hero

Learn the basics of Python and write and execute a simple program that prints hello world, and then store it in a variable to print the value.

Evaluate the Python if-else logic by classifying n as odd or even and printing weird for odd or even 6–20, and not weird for even 2–5 or >20.

Explore arithmetic operators in Python by reading two integers from standard input and printing their sum, difference, and product.

Learn how to use Python's division operators to perform integer (floor) division with // and float division with / by reading two integers, converting them, and printing the results.

Develop Python loops to print squares of non-negative integers less than n using range and i**2. Learn time complexity O(n) and constant space O(1) for this approach.

Practice printing a sequence of integers from 1 to n without string methods by correcting code inside the __main__ block, using a for loop and print with a trailing space.

Explore list comprehensions to generate all 3d grid coordinates i, j, k within x, y, z dimensions where i+j+k != n, using concise Python techniques and practical examples.

Learn to find the runner-up score from a score sheet using Python by reading n and scores, excluding the maximum, and returning the next highest score.

Explore Python nested lists to identify the names of students with the second lowest grade, using list comprehension, sorting, and alphabetically printing each name on a new line.

Learn to compute a student's average from a names-and-marks dictionary in Python, using input, building the dictionary, and printing the result with two decimal places.

Explore Python lists by executing commands to manipulate a list, parse arguments, and apply operations, then print the list's current state.

Construct a tuple from input integers in python and compute its hash with the built-in function. Treat tuples as immutable for constant collections and dictionary keys.

Explore switch case statements in Python and apply them with a swap underscore case function that uses swapcase to swap string letters, demonstrated in a simple main block.

Split strings in Python using the split and join methods with a hyphen. See how split breaks a string into words by spaces and join connects them with hyphens.

Learn to read a first name and last name from input and print a personalized greeting in Python by defining a print_full_name function and concatenating strings with the plus operator.

Explore mutation in Python by contrasting mutable and immutable data types, and mutate a string by converting it to a list, modifying a position, and joining back.

Count the occurrences of a substring within a string using Python. The lecture guides a left-to-right traversal with case sensitivity and a two-line input, then prints the total count.

Explore Python's built-in string validation methods: isalnum, isalpha, isdigit, islower, and isupper, to check for alphanumeric, alphabetical, digits, lowercase, and uppercase characters.

Learn to align strings in Python with ljust, center, and rjust to left, center, and right align; apply these to format the hackerrank logo.

Wrap long strings in Python with the text wrap module and the wrap function to produce lines of a given width, and review time and space complexity.

Design a Python door mat pattern for HackerRank that centers the word welcome, uses pipes, dots, and hyphens, and is a multiple of three while analyzing linear time and space.

Master Python string formatting by printing decimal, octal, hexadecimal, and binary representations for a range of integers, aligning values to the binary width in a beginner-friendly exercise.

Learn to generate alphabet rangoli patterns in Python by arranging letters into symmetric, decorative designs. The lesson covers a function-based approach, pattern construction, and a brief time complexity analysis.

Capitalize the first letter of each word in a string using Python, by splitting on spaces, capitalizing each word, and rejoining to produce properly formatted names.

Explore the ETL tools dot product method to compute the cartesian product of two or more iterables, generating all combinations as tuples and printing the results.

Explore Python's collections.Counter to count occurrences and process a shoe shop problem: track shoe sizes, serve paying customers, and compute total earnings in linear time.

Learn to use itertools.permutations in Python to generate all permutations of a string or a given length r, and observe lexicographic ordering and time complexity.

Explore polar coordinates for expressing complex numbers by using modulus and phase angle with Python's C math module's abs and phase functions.

Explore sets as unordered collections of unique elements that remove duplicates and support membership testing, illustrated by computing the average of distinct plant heights.

Explore Python's defaultdict from the collections module and its default value behavior. Use it to map word occurrences between group A and group B, returning indices or minus one.

Explore the Python calendar module to determine a date's day of the week, generate plain text calendars with Text Calendar, and analyze constant time and space complexity.

Learn how Python handles errors with try and except, and gracefully manage exceptions during input-driven integer division, while analyzing the time and space costs of exception handling.

Explore Python's collections.namedtuple to create named tuples for readable field access, and learn to average student marks from columns in any order and analyze time and space complexity.

Track supermarket sales with an ordered dict to maintain first-occurrence order, accumulate net prices, reveal item names with totals in Python, and explain time and space complexity.

Determine leap years in Python using divisibility rules (4, 100, 400) within the Gregorian calendar, with 2000 as an example; implement this logic in constant time.

Explore the minion game where Kevin scores vowel-start substrings and Stewart scores consonant-start substrings by counting all occurrences, then analyze the winner's score and code efficiency with potential optimization.

Solve the merge the tools problem by splitting a string into substrings, removing repeated characters to form distinct subsequences while preserving order, in linear time.

Calculate the absolute difference in seconds between two time zone timestamps using Python's datetime module and the time delta function.

Learn to compute angle th in a right triangle from legs ab and bc using Python's math.atan and math.degrees, and assess its time and space complexity.

Compute happiness by counting array elements that belong to set A or set B, using Python; happiness increases for A, decreases for B, with O(n) time and O(n) space.

Explore validating postal codes in HackerRank challenge using regexes—regex_integer_n_range and regex_alternating_repetitive_digit_pair—ensuring codes lie in 100,000 to 900,009 99999 and identifying alternating repetitive digit pairs, with linear time and constant space.

Clarify how to solve the Hackerrank matrix script challenge by reading a character matrix column-wise, decoding the message, and replacing non-alphanumeric characters with spaces while analyzing time and space complexity.