Python for Beginners : Concise and Practical

Discover how to set up and compare a command line workflow with a text editor for Python development, using Idle, Sublime Text, and Cygwin, saving and running .py scripts.

Master Python syntax by understanding how spelling and punctuation guide code, recognize errors like missing parentheses or undefined names, and use comments to document code.

Explore Python data types, including numbers, strings, lists, tuples, and dictionaries, and learn how Python infers types, assigns variables, and handles quotes and basic list structures.

Master Python's basic operators for numbers—addition, subtraction, division, multiplication, modulus, and exponent—learn how to compare values and understand binary numbers.

Master string concatenation in Python by combining two strings and printing the results. Explore core string operations, quotes, variables, and basic formatting.

Explore lists as Python data structures, create number lists with square brackets, print and modify them, and use append, extend, remove, and index at specific positions while avoiding mixed types.

Explore if statements that use conditions, booleans, and operators to evaluate comparisons and run code when conditions are met.

Master Python if statements by using comparison operators and or logic to control flow, validate ranges, and print results with clear, practical examples.

Master Python if statements, elif, and else using practical number examples. Learn how to compare values, handle inclusive and exclusive ranges, and print results.

Control program flow with nested if statements to enforce ranges and handle edge cases, using Python indentation; examples include water level clamping and fire alarm temperature checks.

Master basic Python for loops by seeing how the for syntax iterates over lists or words, with examples that add one to numbers, capitalize words, and append strings.

Use while loops to repeat actions while a condition is true, stopping when it becomes false, and modify a variable inside the loop to avoid infinite loops.

Combine for loops and if statements to build nested structures that break sentences into words and letters, count vowels, and categorize numbers.

Learn to define functions with def, name them clearly, and call them with parentheses to execute and reuse code, as shown with print, len, and local/global scope.

Explore how Python functions take inputs and return outputs, using variables and local variables, including void functions, the return statement, input handling, string concatenation, and list length comparisons.

Create an addition function with def, accept two inputs, compute their sum, and return or print the result, emphasizing clear variable use and reusable code.

Discover how the main function centralizes execution in Python, with imports, variables, and definitions at the top, then all program logic runs inside main for clarity and organization.

Explore python's built-in and standard libraries, import patterns, and core modules like math and fractions to perform calculations, handle data, and build real-world applications.

Learn to download and use additional libraries with pip, upgrade pip, and manage packages with install, uninstall, and search commands; explore virtual environments and import aliasing for version matching.

Explore NumPy, the essential Python library for scientific computing, learn installation with pip or conda, and work with n-dimensional arrays, shapes, data types, and basic linear algebra operations.

Learn to use Beautiful Soup, a Python library, for web scraping by installing it with pip, fetching pages, parsing HTML, and printing formatted output with prettify.

Learn to scrape web pages with beautiful soup 4 in python, parsing html, and extracting the title, divs, links, and text using find, find_all, and get_text.

Master Python fundamentals, including data types like floats, complex numbers, strings, and lists, plus control flow, functions, and library usage with pip for a final calculator project.

Add new lectures to the course, expanding into more advanced functionality with topics like dictionaries, file manipulation, and object oriented python.

Explore how to use Python dictionaries to map items to prices, access values with keys, add or delete entries, and iterate over keys to display data.

Learn to input and output files in Python using open, including the with statement, reading lines, managing file paths, and safely closing files after processing.