Automate Anything with Python: RPA, Bots & Web Scraping

Explore Python, a high-level interpreted language designed for readable code, created by Guido van Rossum and released in 1991. Trace its evolution from 1.0 to 3.0 and its adoption by Wikipedia and Google.

Discover why Python, a high-level language, offers simplicity, readability, portability, speed trade-offs, and extensive libraries with built-in data structures for scripting and web development with Django and Flask.

Explore how Python objects encapsulate state and behavior, and learn to inspect them with the dir function, including built-ins, magic methods, and object attributes across types.

Learn to use Python's interactive help to access version-specific documentation, list modules and keywords, and get detailed help on functions and objects for effective debugging.

Read user input with Python's input function, store it in variables, and print results with the print function; save scripts as .py files and run them from the command line.

Learn how to use the Windows task scheduler to automate routine tasks by creating basic tasks, setting triggers and actions such as running programs, sending emails, or displaying messages.

Install and launch Jupyter Notebook with pip, then explore a browser-based, interactive environment to run code in cells, export notebooks to Python scripts.

Explore Python variables with automatic data type inference, perform basic arithmetic with integers and strings, print results, and manage code with inline and multi-line comments and del.

Explore how Python treats data types as classes and variables as instances. Learn integers, floats, booleans, strings, complex numbers, and data structures: lists, tuples, sets, and dictionaries, with dynamic typing.

Explore Python object introspection with the type and len functions, discovering an object's class and length, and reinforce debugging with dir and help when handling data from external sources.

Master Python strings through creation with single, double, and triple quotes; learn indexing, slicing, common errors, and key methods like capitalize, find, split, and format.

Explore implicit and explicit data type conversion in Python, including int, float, string interactions and type promotion, and how str() and int() transform data with potential loss.

Explore Python comparison operators, including equality and is, and use casefold for case-insensitive string comparisons. Learn to build decision making with if, elif, and else using and, or, and not.

Explore how Python lists serve as a mutable, ordered collection that stores duplicates and supports indexing, slicing, and methods like append, extend, copy, and sort; note that assignment copies references.

Master iteration and loop control in Python by using for loops over lists, the range function, and while loops, and applying break, continue, and pass with proper indentation.

Explore Python tuples, a faster, immutable alternative to lists. Learn Python syntax with parentheses, create single-item tuples with a trailing comma, and access elements using a for loop.

Explore Python modules and how to create, import, alias, and use functions, variables, and classes to organize code and enable reusability in Python programs.

Organize Python code into packages with __init__.py and import modules via package.subpackage.module. Learn to extend via pip installations when the standard library lacks needed modules, as with matplotlib.

Learn how PyAutoGUI handles mouse events: locate coordinates with the position function, move with moveTo and dragTo, and perform click, double click, and drag actions.

Explore advanced mouse event functions in PyAutoGUI, including movement, pauses, failsafe, and configurable clicks (single, double, right) with a practical calculator automation demo.

Discover how PyAutoGUI locates on-screen GUI elements by image with locateOnScreen and locateCenterOnScreen, enabling clicks without hard-coded coordinates and leveraging PyScreeze, pillow, optional OpenCV, confidence, and grayscale matching.

Automate GUI tasks with Python by mastering mouse and keyboard controls, including typewrite, press, keydown, keyup, and hotkey functions across wxPython and PyAutoGUI.

Automate end-to-end web form submission using pyautogui to fill fields, select options, and submit from a CSV-driven workflow. Iterate for each record and note enhancements like screenshots and exception handling.

Explore web scrapping with Python using requests and Beautiful Soup to extract data from HTML, compare API advantages, manage robots.txt rules, and build reliable data extraction processes.

Explore the basics of HTML, including structure, tags, and metadata, and learn how to inspect elements with browser tools to identify target data for web automation.

Learn to scrape HTML using Python and the Beautiful Soup library, install beautifulsoup4, parse HTML, navigate tags, and extract structured data such as tables and lists.

Continue scraping HTML with BeautifulSoup, using find and find_all to extract data by ID or class, and harvest table data by iterating over rows and cells for downstream use.

Learn to fetch remote web pages with the Python requests module, perform GET requests, check status, handle authentication and sessions, and parse data with Beautiful Soup to extract URLs.

Master browser automation with selenium web driver using Python, learning to automate repetitive web tasks in the background across browsers with a flexible open source framework.

Install Selenium via pip, configure a Chrome driver, and write your first browser automation script with the Selenium WebDriver.

Learn how to locate web elements with Selenium using strategies like id, name, XPath, CSS selectors, and how to input text and click buttons to automate search tasks.