The Complete Python 3 Masterclass - From Beginner To Pro

Explore Python basics, including numbers, variables, and lists, and learn to convert data types while visualizing concepts with graphics and hands-on coding.

Learn to work with numbers in Python by printing integers and decimals, performing basic arithmetic like 5+4, and evaluating expressions such as 5/4.

Learn how to use variables in Python within a Jupyter notebook, including assignment, printing, and simple calculations, then compute averages with multiple variables.

Explore strings in Python by creating string literals, concatenating them with variables, resolving type errors when mixing strings and integers, and converting numbers to strings.

Learn how to work with lists in Python: define lists with square brackets and commas, access the third element using zero-based indexing, and use append to add items.

Master how the pop function removes the last list item, returns it, and how to store and print the popped value to illustrate last-in, first-out behavior.

Explore how Python comments work using hash symbols. Predict which lines print when mixed with commented and uncommented print statements in a short quiz.

Explore how Python's comparison operators evaluate booleans, using examples like less than, greater than, equal, and not equal, with booleans and string content comparisons guiding if statements.

Use elif to replace nested else-if chains when checking currencies like dollar, yen, euro, and Thai baht, printing the match and improving readability; only the first true branch executes.

Master how the while loop repeats code while a condition stays true, updates a counter to avoid infinite loops, and uses indentation to define the loop body.

Learn how to use python for loops with ranges and lists, iterating values such as 0–9 and 5, 8, 10, and decide when to use for loops versus while loops.

Explore Python loops with for range 0 to 10 and learn break and continue, including how continue skips iterations and break exits the loop, illustrated by a weight-check elevator example.

Build a Python random Trump tweet bot by composing four phrase parts with lists and the random module, join the parts into one line, and extend it in upcoming lessons.

Learn to define and call Python functions with def, pass parameters, and pass arguments, enabling reusable code for tasks like printing messages and handling simple errors.

Explore objects in Python by creating lists, printing them, and appending items. Understand how variables act as objects, how classes define behavior, and how strings are split.

Open, read, and write files in Python to persist data across sessions, using CSV for tabular data like attendance lists.

Open a file in read mode in a jupiter notebook, read each line, print them, and use strip to remove trailing line breaks.

Learn to write files in Python by opening a file in write mode, writing text, closing the file, using line breaks, and appending or writing lists with a for loop.

Learn how the with keyword in Python simplifies file handling by opening files as a context manager, ensuring automatic closure and preventing unclosed files while improving safety and resources.

Learn to open and read CSV files in Python, handle semicolon-separated values and line breaks, extract city names and populations, and present data in a clean tabular format.

Open a jupiter notebook, load the birth names dataset, parse lines into name, year, state, and gender, then build x and y values to graph birth statistics with Matplotlib.

Practice counting how many mxs were given as male first names in California from 1950 through 2000 using Python, handling string to int conversion and header rows.

Read and parse a data file in Python, split lines by comma, and filter by year 1950–2000, male gender, and California to count occurrences of the name Max.

Master list slicing in Python by using negative and positive indices to extract sublists and strings, learn about exclusive end, and apply to examples like hello world.

Explore list comprehension in Python to transform lists, generating new lists like y by multiplying x by itself, and visualize results with Matplotlib.

Learn how to pack and unpack tuples in Python, return tuples from functions, and iterate over lists of tuples to access names, ages, and subjects.

Learn to nest lists in Python, create lists within lists to model data like cities, access elements with indices, and use dictionaries with immutable keys to organize students by subject.

Implement constructors in Python using __init__ to ensure every student object has a first name and last name. Add an increase_term method to manage semesters.

Explore how visibility of methods and variables controls access in programming, using a supermarket analogy to show private attributes and encapsulation.

Explore encapsulation to protect data by keeping phone book entries private and exposing add and get methods, enabling stable usage even when storage changes.

Learn inheritance in Python by building a student and a working student, using super to share initialization, overriding methods, and applying polymorphism to manage mixed class instances.

Practice inheritance and object-oriented design by extending a file reader to read a csv-like file into a multi-dimensional list, using constructors, super calls, line stripping, and comma-based splitting.

Learn to check variable types in Python with type and isinstance using student and working student classes, and see how inheritance affects type checks.

Learn how to create modules in a folder, mark it with __init__.py, and choose between importing a single module, importing all from the package, or importing individual files.

Explores using the Python module index to select versions, imports the csv module, and demonstrates reading csv files with delimiters and quote character handling, with practical examples.

Learn how HTML structures a web page using opening and closing tags, including p, head, and body. Explore creating an index.html file, viewing source, and applying CSS or meta information.

Fetch web pages with the python requests module using get, inspect status codes, headers, and html text, and learn to extract and reformat data for display.

Practice crawling multiple pages by scripting a paginated fetch with time.sleep to avoid overloading servers, using urljoin and navigation class anchors to follow next-page links until no button remains.

Export articles to CSV using a CSV writer, save the file in the notebook, and use a semicolon separator with double quotes for Excel compatibility.

Export article data to a csv file using a csv writer with a semicolon delimiter and quote characters, writing rows for emoji, title, image, and content, viewable in Excel.

Discover how generators in Python yield values on the fly, avoiding full list creation and enabling a crawler to display only the first few articles as needed.

install PyCharm community edition, set up a Python project with an Anaconda interpreter, and create a crawler project, configuring themes, plugins, and package indexing for a functional program.