7-Day Python Programming Bootcamp for Beginners

Begin the seven-day Python bootcamp with day one outlines covering Python basics, environment setup, installation, IDE, hello world, input/output, and basic statements.

Discover Python basics, a general purpose, high-level, interpreted language with readable syntax. Explore fields like AI, data science, web, game, and mobile development, its libraries, and notable users.

Learn how to check if Python is installed using cmd, download from python.org, install with add Python.exe to path checked, and verify the version after installation.

Define the integrated development environment (IDE) and show how VS Code supports Python coding with editing, debugging, extensions, and quick setup.

Explore multiple ways to write and run a Python hello world, using command prompt, terminal, notepad, Notepad++, and VS Code. Learn saving, navigating folders, and executing Python files.

Learn essential Python concepts, including input and output functions, programs and statements, comments, terminators, and indentation, with Python 3 specifics and practical VS Code examples.

Present basic python exercises with solutions in VS Code, teaching input handling, int conversion, and arithmetic operations, plus name and age formatting using concatenation and f-strings.

Discover Python variables and data types, including declaration and initialization rules, mutable and immutable types, and sequence versus non-sequence categories like text, numeric, mapping, set, and boolean.

Explore how Python variables store data as memory containers, cover global and local scope, declaration versus initialization, valid name rules, and examples of integers, floats, strings, and errors.

Explore sequence and non sequence data types in Python, including lists, tuples, strings, sets, and dictionaries, and learn zero-based indexing and key-based access in VS Code.

Explore Python data types categories by examining text-based strings, numeric types (integers, floats, complex), sequences (lists, tuples), mappings (dictionaries), sets, and booleans, with examples.

Explore Python strings as a text-based, sequence data type, using single, double, and triple quotes, index-based access, length, and formatting with format and f-strings.

Explore Python numeric data types: int, float, and complex, and learn basic operations, square and cube calculations, and square roots with math in VS Code.

Explore list and tuple basics as Python sequence data types; learn list mutability, tuple immutability, indexing, and iterating with a for loop, plus simple VS Code examples.

Learn how the range function generates number sequences using start, stop, and step, with defaults for start zero and step one, and see for loops print these ranges.

Explains dictionary data type with key-value pairs and colon-separated items, shows set as an unordered type, and covers boolean data type with true and false.

Practice python by solving 18 exercises with even and odd numbers. Develop skills in lists and dictionaries with for loops, range, append, and key-value access.

Explore Python data structures like list, tuple, dictionary, and set, learn their methods, and master techniques to work with each on day 03.

Explore Python lists, a mutable, ordered data type that holds diverse elements, supports nested lists, indexing (including negative), concatenation, repetition, and membership checks.

Explore 21 Python list methods with practical examples, including append, remove, clear, copy, count, len, index, insert, pop, max, min, reverse, extend, sort, slicing, and converting iterables to lists.

Explore the tuple data structure in Python, comparing it to lists, highlighting immutability, indexing, slicing, concatenation, repetition, membership, and conversion to lists, with unpacking and basic methods.

Explore 24 dictionary methods with practical examples, including get with default, keys, values, items, update, pop, clear, copy, setdefault, membership, iteration, and deletion.

Explore the set data type in Python, an unordered, unindexed collection that stores unique immutable elements. Learn to create sets from iterables with set and remove duplicates.

Master 26 set methods in Python, including add, remove, discard, pop, clear, copy, update, and union, intersection, difference, and symmetric difference, plus membership, subset, and disjoint tests.

Learn to write a Python program that collects five integers from the user using a loop, stores them in a list, computes their sum, and displays the result.

Learn to write a Python program that finds common elements between two sets using intersection, builds sets from user input, converts inputs to integers, and displays the common elements.

Create and access elements in nested tuples and lists with Python, guided by exercise 3.3 from the 7 days bootcamp and its extensive practice problems.

Practice python data structures by building a dictionary of authors and their books from user input through a five-entry loop, printing formatted results and preparing for decision making in Python.

Explore Python day four of the seven day bootcamp, mastering decision making structures with if statements, if else, nested if, and if elif else through clear concepts and practical examples.

Explore decision making structures in Python with if statements, elif, and else to run code blocks based on conditions like age or whether a number is even.

Learn how if else statements control Python program flow, using the else block for false conditions and true conditions, with age checks and even-odd examples from user input.

Explore nested if statements in Python, using if and else blocks to check multiple conditions like divisibility by two and three, with VS Code examples.

Explain Python's elif as the middle ground between if and else, showing multi-branch decision logic with examples for positive, negative, and zero, plus a vowel demo in VS Code.

Demonstrate python exercise 4.1 that prompts for marks and prints a grade a through d or fail using if-elif-else in vscode; introduces next day’s python functions.

Explore Python day five outlines, master functions by learning function definition, creation and calling, the difference between arguments and parameters, including keyword, default, and required arguments for beginner with practice.

Explore the concept of a function in Python, define functions with def, pass parameters, and call them to reuse code, improve readability, and save effort.

Explore parameter and argument concepts in Python functions, distinguishing formal parameters from actual arguments and showing how values pass during function calls with examples like sum and full name.

Learn about keyword arguments, default arguments, and required arguments in Python by defining functions, controlling parameter order, and calling with keyword mappings.

Learn how to use default parameters in Python functions, declaring default values, overriding them by providing arguments, and placing defaults at the end with practical examples.

Understand required versus default arguments in Python functions, including positional parameters and the call order, with practical VS Code examples and common error scenarios.

Explore Python loops, including for and while loops, with syntax and practical examples, as day six covers loop concepts and their applications.

Explore Python loop concepts to repeat statements and generate numbers with for and while loops. See how linear execution works and how to repeat designs like tables for many records.

Learn how to use for loops in Python to repeat statements and iterate over lists, tuples, dictionaries, sets, and strings, with range-based numbers and access to keys, values, and items.

Learn how the while loop in Python repeats statements while a condition is true. Understand increment and decrement, and see examples generating numbers 1 to 10 and 10 to 1.

Write a Python program to get start and end from user, validate start is less than end, and display numbers from start to end using for loop in VS Code.

Learn to build a Python program that reads a number, passes it to a function, and prints multiplication table from 1 to 10 using a loop and a formatted string.

Explore Python comprehension techniques, including list, tuple, dictionary, and set comprehensions, with practical examples and exercises to strengthen your understanding.

Discover Python comprehension, a concise way to create sequences with a single line. Filter and map iterables, such as squaring even numbers from 1 to 10, with or without comprehension.

Explore Python list comprehension, learn how to create a new list from an existing sequence in one line, with and without comprehension, including if, else, and nested conditions.

Learn how tuple comprehension differs from list comprehension in Python, highlighting immutability, syntax with parentheses, and converting results to tuples using tuple() with practical examples.

Learn dictionary comprehension in Python by creating new dictionaries from existing dictionaries or lists, using key-value pairs, and applying if and else logic.

Learn python set comprehension by creating sets from ranges and other iterables, applying if and else, using nested ifs, and understanding duplicate removal.

Demonstrates using Python list comprehension to filter a 1–20 range into even numbers, and saves the solution in exercise 7.1.py while practicing in VSCode.

Use a list comprehension to filter student names starting with a from the exercise 7.2 list, and print the results, noting lowercase versus uppercase handling.

Write a Python program to create a dictionary from a list, using each word as a key and its length as the value, and print the dictionary for exercise 7.3.

Develop a Python program in this 7 days bootcamp exercise that builds a dictionary from a word list with words longer than five characters, mapping to their lengths.