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.

Explore Python core data types, including integers, floats, decimals, fractions, complex and binary numbers, strings, and lists with range-based sequences.

Explore Python data types through a quick quiz: lists are mutable and tuples immutable, use dictionaries for transaction records, and sets for unique emails with fast lookups.

Explore advanced numeric types in Python, including complex numbers for calculations, decimal numbers for arithmetic, rational numbers for exact fractions, and sets for unique data, with Python's extensibility via libraries.

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.

Create your first Python project in PyCharm community edition, configure the interpreter, set up a virtual environment, and add your first Python file.

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.

Set up version control in PyCharm by creating a git repository, installing git, configuring user name and email, connecting to GitHub, and performing the initial commit and push.

Clone the course repository with git, then open it in your chosen IDE (PyCharm or VS Code) and explore lessons, files, and upcoming exercises.

Learn to work with GitHub codespaces for cloud development, import external repositories, create codespaces, and practice Python exercises online without a local IDE.

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.

Debug and fix common Python print statement errors through a hands-on exercise that covers backslashes, escape characters, indentation, unterminated strings, and missing parentheses for clean execution.

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 string formatting and input case manipulation in Python by applying lower and upper on user input. Learn when to format during input versus in prints using color examples.

Explore Python strings, including definitions, quotes (single and double), and formatting; practice print statements, input/output, and common string operations through hands-on examples.

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 display quotes in strings using single and double quotes, and test string formats with methods like isalpha, isalnum, islower, isupper, startswith, and title to check string conditions.

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 practical Python string indexing and slicing with demonstrations of forward and backward indexing, length calculation, and basic slicing techniques using real code examples.

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 traditional and modern string formatting in Python, from the legacy percent operator to f-strings and the simplified format method, with type-specific string methods and a quarterly sales report example.

Explore Python string methods for text data processing, including case transformations, search and replace, split and join, trim and align, and encoding with format and translate.

Explore pattern matching with Python to extend string processing beyond standard methods using the Ray module, enabling robust log analysis, parsing configuration files, and handling XML and JSON structures.

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.

Explore using input to populate Python variables and understand that input returns a string. Use input prompts to assign values to city or student_name and print results.

Build interactive programs using the input function to communicate with users in real time. Greet the user by name and calculate birth year from age, handling numeric conversions with int().

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.

Master multiple input collection and data integration by building a personal info collector that gathers name, age, and hometown to produce a cohesive summary sentence.

Learn to build a multi-input program that collects a pet's name, species, and age to generate a descriptive sentence about the pet using an f-string.

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.

Create a simple calculator that prompts for two numbers and an operation, converts input, and uses conditional logic to perform addition, subtraction, multiplication, or division and display the result.

Implement conditional logic in Python by building a calculator that uses if, elif, and else to perform plus, minus, multiply, and divide based on user input. Display results with f-strings.

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.

Learn lists and loops in Python, including indexing and accessing elements, with while loops and a hands-on use of Jupyter notebooks.

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

Learn to create lists in Python, initialize with brackets, print, access by index (zero-based and negative indices), extend with append, and mix types in a single list.

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.

Explore bounds checking and exception handling in lists with Python, learning how to handle index errors, use try-except blocks, and prevent out-of-bounds access and data integrity issues.

Learn practical Python list operations for shopping list management by creating, accessing, adding, removing, and sorting items, checking membership, and handling nested lists and quantities.

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.

Explore Python list methods for adding, removing, sorting, indexing, copying, and operator tricks—using append, extend, insert, remove, pop, clear, sort, reverse, index, count, plus, asterisk, and len.

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.

Explore advanced list comprehension techniques to transform and filter a nested employee dataset, including salary adjustments, IT department filtering, active-status extraction, and formatting department codes.

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.

Learn to create and populate dictionaries in Python for data management, covering software licenses, employee directories, and asset tracking with key-value pairs.

Create Python dictionaries using direct dict creation with key-value pairs and by zipping separate key and value lists, enabling flexible data handling of conference room details.

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 for loops and while loops for iteration in Python, with practical examples like uppercasing characters and sorting dictionary data for output.

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.

Learn dict.fromkeys to create dictionaries from keys with a shared default for template records, and use dictionary comprehension with copy to ensure independent copies.

Learn how the dictionary clear method removes all items, resets an inventory, and preserves the dictionary reference to rebuild with new items.

Explore Python iteration across lists and dictionaries with list and dictionary comprehensions, for loops, and generator expressions, including commissions calculation and building an email dictionary from employee names.

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.