Python for Beginners & Interns: Learn to Code from Scratch

Explore Python data types from scalar to sequence, including string, set, and dictionary, while showing that in Python everything is an object and variables are objects of classes.

Explore int, float, and complex numbers within Python, learn how numbers are stored as immutable data types, and convert strings and other numeric types using int, float, and complex.

Explore binary, octal, and hexadecimal representations in Python, including base prefixes like 0b, 0o, and 0x. Learn to convert between binary, octal, hex, and decimal, and inspect types.

Learn how Python strings work—single, double, and triple quotes, immutability, and declaration. Practice indexing, slicing, concatenation, repetition, and basic string functions like len and type.

Learn Python lists: create mutable sequences with square brackets, concatenate with +, repeat with *, and index or slice elements; use len and list() to convert strings.

Explore Python tuples as ordered, immutable sequences enclosed in parentheses that hold elements of any type; contrast them with mutable lists and learn indexing and slicing.

Learn how the Python range function returns a sequence of integers with start, stop, and step, including defaults, negative steps, and lazy evaluation for memory efficiency.

Learn to use sets in Python to store unique, unordered elements, convert lists, strings, dictionaries, and ranges to sets, and perform union, intersection, and differences.

Explore Python's frozen set data type and immutability, including converting strings and dictionaries to frozen sets. Learn practical examples and the output when working with frozen sets.

Explore Python dictionaries as unordered key–value collections, create them with curly braces or dict(), access, update, delete keys, and handle missing keys with get, while printing keys and values.

Explain Python booleans, the True and False values, and how numbers, strings, and containers evaluate to True or False, with None representing absence.

Explore how operators and their symbols perform operations on operands. Learn seven operator types—relational, assignment, logical, bitwise, membership, and identity—and how each affects values and references.

Explore seven arithmetic operator types in Python: addition, subtraction, multiplication, division, modulus, exponent, and floor division, and demonstrate floor and ceil functions with number-line examples.

Explore comparison operators to determine relationships between values, including greater than, less than, and equal to, as well as greater than or equal to and less than or equal to.

Learn eight types of assignment operators that assign values to variables, including addition, subtraction, multiplication, division, modulus, exponential, and floater division assignment operators.

Explore how logical operators such as and, or, and not evaluate boolean expressions to control program flow, using true and false outcomes, non-zero values, and truth-table concepts.

Explore six types of bitwise operators and how they perform operations on numbers in binary, including left and right shifts, ones complement, and using bin to display results.

Master Python membership operators by using in and not in to test values in strings, lists, sets, and dictionaries, with true or false results.

Learn how identity operators 'is' and 'is not' verify if two objects are the same memory location or share the same type, with simple examples.

Explore expressions as combinations of variables and operators, including boolean expressions that evaluate to true or false. Learn that expressions are evaluated first and then printed, and assignment operators participate.

Explore how Python uses decision control statements to choose among actions, using if and else to break sequential flow and control program execution.

Explore Python if statements: evaluate boolean expressions, use indentation for blocks, and branch on conditions like numbers greater than, less than, or equal to zero, using Ayanda to convert strings.

Explore the Python if-else statement, its syntax and indentation, with practical examples of true/false conditions, nested blocks, and simple programs like military services eligibility and number comparisons.

Learn how to use if, elif, and else statements in Python to evaluate expressions, chain conditions, and handle multiple outcomes.

Utilize nested if statements in python to read a number into NUM, validate nonnegativity, and apply if-elif-else logic, including a leap year check with the century rule.

Introduces decision control statements and Python loops, showing how if expressions run blocks once, and how while and for loops execute statements multiple times, with break and continue.

Explains how the Python while loop evaluates a condition, runs an indented block, and repeats until false, with examples like counting to four and an infinite hello world loop.

Explain how a for loop iterates over a sequence or collection, including strings, lists, sets, and dictionaries, using ranges and indentation, with print statements to show each iteration.

Explore for loop programs in Python by implementing summation, Fibonacci series, and factorial calculations, with practical examples and initialization practices.

Explore nested loops by placing a loop inside another loop, including for loops inside for loops and while loops, with indentation signaling nesting and range-based samples.

Learn Python loop control statements: break exits loops, continue skips to the next iteration, and pass acts as a syntactic placeholder in for and while loops.

Explore the Python else statement in loops, including for and while loops, break usage, and distinguishing normal versus abnormal termination of loops.

Explore how Python represents numbers, from integers and floats to complex numbers, including immutable values and numbers of any length, scientific notation, and binary, octal, and hexadecimal prefixes and conversions.

Learn how to use Python's math module, importing math, to perform floor, ceil, sqrt, factorial, abs, and calculations for combinations and permutations.

Explore the Python math module for power and logarithmic functions, including natural logarithms and bases. See examples of exponentiation and square roots, such as 49.7 to the power and sqrt(36).

Present remaining functions and constants in the math module, cover angle conversion, and explore special and hyperbolic functions, alongside concepts like infinity and not a number.

Discover number related built in functions in Python by exploring exponentiation, modulo, rounding, and basic list operations like sum, min, max, and range to process numerical data.

Learn to generate and manipulate random numbers in Python using the random module, including integers in a range, floats from 0 to 1, and basic distributions.

Explore basic concepts of lists in Python, including list syntax with square brackets, creating lists from ranges, strings, dictionaries, and using list comprehension and split to convert inputs into lists.

Explore Python's built-in list functions, including max, min, sum, and len, and learn to sort, reverse, split strings, and work with dictionaries.

Explore built-in list methods in Python, including append, extend, and insert, and learn updating, indexing, and removing elements to manipulate lists effectively.

Learn how to manipulate Python lists with built-in methods like remove and clear; delete by index, handle missing elements with errors, and use list.index with optional start and end parameters.

Explore Python list built-in methods, focusing on sorting lists with default behavior (strings alphabetically, numbers numerically) and customizing order with a user-defined key function, including ascending and descending options.

Explore how to write Python programs that work with lists, update results in each iteration, remove elements, and filter numbers divisible by seven and nine.

Tuples are immutable sequences of elements, enclosed in parentheses and separated by commas, supporting multiple types and duplicates.

Discover Python built-in functions for tuples and sequences, using min, max, len, and sort to compare strings and numbers and order elements.

Explore Python's built-in tuple methods, including index operations and membership checks, and note that tuples cannot be added, updated, or deleted.

Practice Python programs on tuples and lists, performing iterative calculations to update a running result, check element membership, and print outcomes, while counting element frequencies with collections.

Explore Python sets, created with curly braces or set(), which hold unique, hashable elements, are unordered and unindexed, and support union, intersection, and other set operations.

Explore Python's built-in set functions, focusing on unique elements, ignored duplicates, ordering and min and max operations across strings, numbers, and iterables.

Explore Python set built-in methods, including add, update, remove, discard, and clear, and understand union, intersection, difference, subset, superset, and disjoint relations.

Explore built-in set methods for building and updating sets, including union, intersection, difference, and symmetric difference, with focus on duplicates and in-place updates.

Explore Python built-in set methods, focusing on subset and superset checks, disjointness, and membership tests to verify common elements and relationships between sets.

Practice programs on sets by iterating with a for loop over unique elements, adding to set B, removing items as you process numbers one by one, and printing the results.

Learn frozenset basics: frozenset is an immutable set in Python, with no add or remove methods, created from iterables (strings, lists, ranges), and prints show unordered, fixed collections.

Explore frozenset in Python, its immutability, built-in methods and operators for union and intersection, and how membership tests work within a frozen set.