Python Complete Course: with 30+ Hands-on Tasks and Solution

Explore Python's core architecture where everything is an object, built-in and custom types; learn modules, statements, expressions, and core concepts like sequences, selections, and repetitions through classes and functions.

Learn how Python applies operator precedence to calculations, using parentheses to control order, with exponentiation, multiplication, and addition/subtraction demonstrated through practical examples.

Explore Python's integer handling for large numbers and exponentiation, display methods and formatting, and the math and random modules, plus complex numbers, fixed-precision arithmetic, and rational numbers.

Learn to set up version control with git and GitHub, create a repository, commit changes, push to a remote, clone projects, and manage Python projects in PyCharm.

Master the Python print function and string basics, including quotes, escape characters, and printing multiple lines. Practice using Codespaces, explore single and double quotes, and understand case sensitivity.

Learn to practice Python print function and string operations by completing tasks that print multi-line stories, mix quotes, use escape characters for lists, and combine strings with numbers.

Explore print function best practices with real examples: multi-line strings, handling quotes, escape characters, lists, and combining different data types using Python.

Practice creating poetry with Python print techniques using multiple print statements, backslash escapes, and triple quotes to format multi-line verses and blank lines.

Explore how python uses the hash symbol for comments, inline and multi-line text, and data types like integer, float, boolean, and string. Learn to output results with the print function.

Explore how Python distinguishes float, integer, and string types using the type function, and practice identifying data types by assigning values and printing their types.

Learn how integers and strings differ, print numbers and text, and manage variables with descriptive names and underscores in Python, including reassignment and changing data types.

Learn how the addition operator updates variables and how to perform string concatenation to build messages like Elton, and how to create and print new_underscore_message and new_underscore_sum.

Learn how to declare and name variables properly in Python, including valid identifiers, case sensitivity, and avoiding common naming errors, with examples of integers and floats.

Learn how to name Python variables effectively by avoiding reserved words and common mistakes, using descriptive names and underscores, and preventing syntax errors through best practices.

Explore fundamentals of strings in Python and learn practical operations. Use len, indexing, slicing, concatenation, repetition, and string methods like upper, lower, and replace; prepare for splitting, joining, and formatting.

Explore how the addition operator handles integers, floats, and string concatenation with the plus sign in Python, and apply them in print statements and simple tasks.

Learn to convert between data types in Python by turning a string price into a float, computing total cost with a quantity, and printing types and results.

Explore real-world string operations in Python with practical examples of indexing and slicing, extracting the first and last words, reversing text, and selecting alternate characters using f-strings.

Explore Python string methods that streamline text processing, including find for locating substrings and replace for substitution, with real-world examples like log search and converting Windows paths to Unix format.

Explore log file pattern matching in Python by importing the regular expression module, building patterns to capture timestamps and error messages, and using groups with re.search for precise extraction.

Master Python string methods and text processing, including Unicode support, raw strings for Windows paths, triple-quoted SQL queries, and case fold for cross-language case-insensitive comparisons.

Practice interactive input in Python by building a personalized greeting program and an echo machine, learning how to capture and echo user input.

Learn to comment lines in Visual Studio Code with control forward slash. Build the favorite color task using input to set a color variable and output an f string response.

Create a travel planner program that collects destination, mode of transport, and duration of stay, then prints a brief travel plan using multi-variable input processing.

Craft a program that asks for a character name, a place, and an object, weaving them into a short story to demonstrate narrative generation through multi-variable string input with f-strings.

Master Python lists from creation to manipulation, including indexing, slicing, and common methods like append and sort, with nested lists and practical examples such as a shopping list manager.

Explore Python lists as mutable, ordered containers. See how they store diverse types, support dynamic memory allocation, enable index-based updates, and grow or shrink with list methods.

Explore how to create and access nested lists using multiple indexing to reach inner elements, and observe how memory references and copying affect data.

Replace list items by indexing and assignment, and insert new items with insert to show in-place updates and how lists grow.

Iterate lists with for-in loops to print cities, accumulate totals, count occurrences, and sort by length into shorter and longer groups for city search function with default and longer lists.

Explore condition based looping with while loops, contrasting them with for loops, and learn to prevent infinite loops by using break or a condition, including nested loops.

Implement list operations on a shopping list in Python by removing items with the remove method, validating input, and printing results; also cover sorting and indexing with try-except.

Explore building and iterating a nested python grocery list with quantities, using tuple unpacking to separate item and quantity, printing with f-strings and conditional pluralization, and updating quantities via input.

Understand how Python enforces list bounds to prevent out-of-range access and index errors, using append to safely extend lists and prevent buffer overflow.

Explore how Python uses nested data structures and multidimensional lists to organize complex data, like employee records and spreadsheet-like grids, with examples of accessing data by row and column.

Showcases using generator comprehensions to compute daily sales totals from a nested sales data matrix, printing day totals with f-strings and sum for business data processing.

Explore dictionary iteration methods, including iterating over keys, values, and key-value pairs, and troubleshoot common errors with dicts, sets, and methods like keys, values, and items.

Explore how Python dictionaries handle missing keys, prevent key errors, and use the in operator, get method, and conditional expressions to robustly manage user data with varying keys.

Explore the dictionary items method to access keys and values together while iterating inventory data, generating comprehensive reports with asset id, location, status, model, and maintenance details.

Demonstrate the pop item method to remove the last inserted dictionary entry and track inventory changes using insertion order, with a demo of copying, adding items, and handling empty dictionaries.

Explore how Python dictionaries map keys to values, handle missing keys with a key error or the get method, and use dictionary comprehension, in operator, and sorting.

Explore Python tuples as immutable sequences using parentheses, storing fixed data like employee records and dates, and perform the len function, indexing, and concatenation to produce new tuples.

Explore how to build a university course registration system in Python using immutable tuples to manage student records and nested course listings, including access, unpacking, and count and index methods.