
Install and explore Anaconda, the conda package and environment manager, to run Jupyter notebooks. Learn to download, install, configure PATH, and test with Anaconda Navigator or Anaconda Prompt.
Learn to create and rename a Jupyter notebook, run code cells with a chosen kernel like bison 3, and navigate menus for file, edit, view, insert, kernel, and widgets.
Shows how variables hold values, created by assignment like message = 'hello world', with the value displayed when called, and outlines naming rules using letters, numbers, and underscores.
Explore how strings are defined with quotes and variables, manipulated with methods like title and lower, and combined through concatenation, while formatting output with tab and newline escapes.
Master numbers in Python, from integers to floats, and apply arithmetic operations, order of operations, and parentheses; fix type errors by casting and converting numbers to strings.
Explore printing in Python, including concatenation and separating outputs, and compare string formatting methods: old-style %, str.format, and f-strings, with precision and padding.
Explains formatting strings in Python using the format method with positional indexes and keywords, demonstrates reuse, and introduces f-strings with precision and width control.
Learn how to add and manage comments in Python to document problem-solving approaches with notes in English, and toggle comments using hash marks or quotes.
Create and manipulate lists in Python using square brackets as ordered collections with zero-based indexing. Access by index, apply negative indexing, capitalize with title method, and build messages via concatenation.
Modify list elements by zero-based indices, and extend lists by appending or inserting items at a chosen position, including building empty lists that grow dynamically.
Remove items from a list by index or by value using del and the remove method, and store removed values in a variable when you need to reuse them.
Use for loops to traverse lists and sequences of any length, performing the same action on every item with a single header and loop body.
Learn how break stops a Python for loop when a car equals Audi, and how continue skips Audi to move to the next item like Toyota.
Explore nested loops in Python by pairing each person with every restaurant, using an outer loop over people and an inner loop over restaurants, and printing each combination.
Learn to use for loops to iterate over lists, assign each item to a variable, and build messages with string concatenation and newlines, illustrating indentation, loop execution, and post-loop behavior.
Learn to build numerical lists in Python with the range function, using start, end, and step, and convert ranges to lists for even and square numbers.
Learn how list comprehensions replace multi line loops by generating the first 10 square numbers in one line. Then use min, max, and sum on a digits list.
Explore Python list slicing by defining start and end indices to select a subset, including the first three or last three items, with negative indices and for loop usage.
Copy a Python list using slicing to create independent lists. Demonstrate aliasing pitfalls and explain how changes to one list don’t affect the other.
Learn how tuples, as immutable data structures, store a fixed set of values and how to define, index, and loop over them, with rules on modifying versus overwriting the variable.
Master Python indentation and avoid common indentation errors that disrupt loops and blocks. Explore whitespace use, colon placement, and how syntax versus logical errors affect program behavior.
Learn to write conditional tests, use equality operators, and handle case sensitivity. Apply these concepts to lists and for loops, using lowercase to compare values without changing the original data.
Learn to test equality and inequality with if statements in Python, including not equal, and combine conditions with and or, using parentheses for readable age comparisons.
Explore conditional tests by checking if values are in or not in a list using if statements, with examples like usernames, locations, and pizza toppings.
Explore simple if-else chains in Python, using age-based conditions to decide voting eligibility and register-to-vote messages, with indentation and multiple branches.
Explore how if, elif, and else chains evaluate multiple conditions in order, using an amusement park pricing example to determine admission based on age.
Explore omitting the else block in Python by using if, elif, and independent if statements to test conditions, and learn when to favor elif or multiple tests.
Explore how dictionaries store key-value pairs, access values with keys via square brackets, and add new keys like x and y in a zombie example.
Continue working with dictionaries by creating empty dictionaries, adding and modifying key-value pairs, tracking a zombie's position and speed, and removing keys with del.
Explore looping through dictionaries in Python using for loops, items, keys, and values; learn that dictionary order isn't guaranteed and how sorted provides ordered output.
Learn how to nest dictionaries and lists in Python to model complex data structures, including lists of dictionaries, dictionaries inside dictionaries, and accessing nested values with loops.
Get information from the user using the input function, prompts, and variables. Learn to display and format responses with print statements, string concatenation, and multi-line prompts.
Convert user input from string to number with int, then compare values like age and height, and use the modulo operator to detect even or odd numbers.
Explore while loops in Python, alongside for loops, counting from 1 to 5 and seeing how a condition governs repetition until the end condition quite stops the program.
Learn to use an active flag to control a program loop, so it runs while the flag is true and ends when an event sets the flag to false.
Use while loops with lists and dictionaries to collect, store, and process user data, and move unconfirmed users to a confirmed list by printing verifications and appending until none remain.
Remove all instances of a value from a list with a while loop. Build a dictionary-based program that prompts for a name and a mountain, stores responses, and prints results.
Write functions that perform a single task, call them to reuse code, and organize programs with modules. Define functions with parameters using def, pass arguments, and display greetings.
Master positional arguments by passing values in the exact order to function parameters. See an animal example with type and name, and learn how misordered arguments cause incorrect results.
Explore keyword and position arguments by mapping values to function parameters, using default values after non-default ones to simplify calls and avoid ordering errors.
Explore object oriented programming by creating and using a Dog class with name and age attributes and sit and roll over methods, including the __init__ constructor and self.
Create a specific dog instance from the Dog class, named Willy and aged 6, and access its name and age via dot notation; call methods like set and roll over.
Create and manipulate class instances by defining an init method, setting attributes like make, model, year, and odometer, and adding methods to read and update mileage.
Inherit from a parent class to reuse attributes and methods, then add electric car specifics like battery and describe_battery, while using super in init.
Override parent methods in child to tailor behavior, such as replacing gas tank logic for electric vehicles, and use a battery class with a battery attribute in the electric car.
Import a single class from a module. Store related classes in a module and import them as needed, using from module import class or from module import *.
Explore the Python standard library and use OrderedDict from collections to preserve insertion order in dictionaries, while applying camel caps for classes and lowercase underscores for modules with docstrings.
Learn to read from a text file into memory using the open function and a file object, then use the read method or line-by-line iteration, with automatic closing.
Learn to read files using open and read, and locate them with absolute and relative paths across directories. Store paths in variables and handle Windows path separators for reliable access.
Loop through a file line by line with a file object using a for loop and the open method. Strip newlines and print each line.
Open a file for writing with the correct mode, create it if needed, and write strings to save data; explore append mode, newline handling, and converting numbers to strings.
Read a text file into memory, join lines into a single string of digits, and remove newlines; then convert to integers or floats and use slicing for large files.
Master Python Programming: From Zero to Hero
Are you ready to unlock the power of Python—the most versatile and in-demand programming language today? Whether you are a complete beginner or looking to sharpen your coding skills, this course will guide you step by step from the very basics of Python to building real-world projects that showcase your new expertise.
Python is everywhere: powering websites, analyzing data, automating tasks, and driving innovations in artificial intelligence and machine learning. By enrolling in this course, you are not just learning syntax—you are gaining a skill set that opens doors to countless career opportunities in software development, data science, automation, and beyond.
We start with the absolute fundamentals: setting up Python, understanding variables, data types, and operators. From there, you will dive into control structures, loops, and functions—essential building blocks of any program. As your confidence grows, we introduce object-oriented programming, file handling, error management, and working with external libraries to extend Python’s capabilities.
But this course goes far beyond theory. Every concept is reinforced with hands-on coding exercises, quizzes, and practical challenges. You will work on real-world projects such as building calculators, automating file systems, analyzing datasets, creating visualizations, and even web scraping. These projects are designed to give you practical experience you can showcase in a portfolio or use directly in your job.
By the end of the course, you will not only be fluent in Python but also know how to apply it in multiple domains. You’ll be able to automate repetitive tasks at work, manipulate and analyze data efficiently, or even start your journey into advanced fields like artificial intelligence and machine learning.
What makes this course different?
Clear, step-by-step explanations designed for beginners
Interactive coding exercises after each lesson
Real-world projects that make your learning practical
Guidance on applying Python for data analysis, automation, and web development
A structured path that builds your confidence as you progress
If you’ve always wanted to learn programming but felt overwhelmed, this course makes Python simple, engaging, and fun. Join thousands of learners who have already transformed their careers with Python.
Take the first step today—master Python, and master your future.