Python for Web Developers

Learn to read command-line arguments in Python with sys.argv and implement conditional logic using if, elif, and else, while adopting snake_case, single quotes, and f-strings for validation messages.

Explore list unpacking with command line arguments using sys.argv, learn variable assignment, string formatting, booleans, comments, and multi-line prints in Python for web developers.

Learn how to define and manipulate lists in Python, using dynamic lists, the append method, sys.argv, len, and a user-driven loop to collect table columns.

Learn how to manipulate lists in Python through slicing, indexing, and looping, including remove, pop, clear, sort, reverse, index, and append; also explore enumerate, unpacking, and tuples.

Define tuples with parentheses, explain their immutability, and edit them by converting to a list and back to a tuple; demonstrate concatenation and single-element syntax with a trailing comma.

Explore Python dictionaries as key-value pairs, create them with braces or dict(), access values by keys, and note that keys must be in quotes.

Explore sets in Python, learn how sets ensure unique items, lack indexing, and support operations like add, remove, pop, union, intersection, difference, and clear.

master Python for loops by using range, starting values, and stopping before end; filter even numbers with modulo, use break, loop-else, and pass; and explore lists, strings, slicing, nested loops.

Use a while loop in Python to replace a for loop by initializing a counter to build a column name list, then input names until q and print the database.

Explore Python's match statement as a cleaner alternative to long if-else chains, using case blocks, a default underscore, and the pipe to group cases for weekday and weekend logic.

Explore list comprehension in Python as a concise alternative to for loops, including strip cleansing, dictionary comprehension of birth years, flattening matrices, and conditional filtering.

Explore defining and calling Python functions with def and colon, pass positional and keyword-based arguments, use variadic *args, and apply functional patterns with return values and snake_case naming.

Learn how lambda functions in Python create anonymous one-expression functions, use map to multiply list elements, and use filter to select even numbers, including returning lambdas from functions.

Explore type hints in Python to enforce variable and function contracts, annotate lists and dictionaries, and use optional and union to handle multiple return types.

Learn object oriented programming in Python by building a car class as a blueprint, creating objects with name, model, and year, and using methods and __str__ for readable prints.

Explore encapsulation in Python by hiding internal class details, using protected and private members, and controlling access with getters and setters via the property decorator.

Learn how inheritance in Python enables a bank account base class to power saving and checking accounts, reusing balance, deposit, withdraw methods, and overriding behavior with super.

Explore polymorphism and duck typing in Python, showing how methods share names but differ in implementation, with overriding and operator overloading on bank accounts and crypto wallets.

Explore composition in Python by linking a bank account to a user and recording transactions, showing has a relationships over inheritance and how to manage multiple classes within another class.

Explore abstract classes in Python, using the ABC module and abstractmethod to define a blueprint that hides details and enforces implementations in concrete subclasses like saving account, preventing direct instantiation.

Turn a built function into a Python class with an app and a database class. Use a static main method and command line arguments to add tables and columns interactively.

Open text files in Python, select read, write, or append modes, and read or write content, then close manually or use a with context manager to auto close.

Explore json in python by creating, writing, and reading json data with json.dump and json.load. Handle file existence and emptiness using os.path checks, and format data for readability with indentation.

Store data in json files to persist across runs by creating a database folder, making json table files, and implementing create tables and add columns to manage columns and rows.

Add rows to a json-backed table by storing each row as a dictionary, validate keys with all against the columns, handle invalid data with try/except, and persist updates with json.dump.

Define a select function that loads table data from JSON, then apply dynamic filters using a dictionary and all to return matching rows.

Extend the update method by filtering table data with a where condition, ensure the id auto-increments on insert, and guarantee only username or password fields update, writing back with JSON.

Learn to delete data in a Python-based table by using a where clause to remove matching rows, updating the table file with JSON load/dump, and tracking deleted item counts.

Learn how Python treats each file as a module, rename the database file to database.py, then import and instantiate the database class in app.py.

Learn how Python generators act as memory-efficient iterators that yield values on demand using yield and next. Compare them with list comprehensions; see when to use generators for big data.

Explore Python decorators, wrappers, and reusable patterns that wrap functions with before and after behavior, enable authentication checks, and add loggers or timers to improve security and usability.

Master asynchronous programming in Python to run coroutines in parallel with async and await, avoiding unnecessary waiting when fetching data from servers.

Compare Flask and Django to guide Python developers on choosing a web framework; use Flask for beginner-friendly APIs and small apps, and Django for large-scale projects like e-commerce and CMS.

Install flask with pip, import the Flask class, create an app instance, and define routes like / and /people to return html, then run the server.

Explore how to structure a Flask project with an app folder, including forms, models, routes, static assets, and templates, and how routes call templates and static files.

Learn to convert separate Flask apps into a single modular application using blueprints, define the main and another blueprint, and register them in app.py for inter-route communication.

Learn how Flask handles multiple request methods on a route, using methods to allow get, post, delete, and patch, and request.method to return distinct outputs.

Learn to access user data in web requests by reading get parameters with request.args and post bodies with request.form, enabling dynamic responses based on name, age, and school.

Learn how dynamic routing uses the URL path after the main domain to pass a username as a route parameter, shaping output based on user input.

Explore robust error handling and custom messages for web requests, including setting default values for missing parameters and using a single function to handle multiple routes.

Render an index.html from the templates folder with render_template. Use Jinja double curly braces to pass username via the back end using url_for.

Master Jinja syntax to conditionally render pages, loop through lists, and apply filters like capitalize and length for dynamic content.

Create reusable components such as the navbar and footer with Jinja includes. Extend a layout template with blocks to render pages like home and about in a Flask app.

Build an end-to-end e-commerce project with front end and back end, a database, and a fine-tuned AI model, including user authentication, product catalog, routes, and AI-based product search.

Learn to set up a sqlite3 database for a Python web app by creating a models/database.sql with a users table and initializing with init_db.py.

Define the sign up route with get and post, render signup.html on get, validate password length with flash messages, insert users into the database, and handle unique usernames.

Build login, logout, and session handling in a Flask app by adding /login and /logout routes, validating users, storing the username in the session, and guiding users with flash messages.

Refactor the navbar into a dynamic mini ecommerce header that redirects to the home page and conditionally shows logout with the username or login and register options based on session.