Web And Python + SQL

Mastering HTML, CSS, and JavaScript. Dive into the backend using the powerful combination of Python and SQL with frameworks like Flask . Employ essential tools such as Git, VS Code, and advanced databases like MySQL for crafting dynamic web applications.

Course Curriculum:

• Part 1 - The Foundation
•  Introduction to Web:
• Understanding how websites work, client side and server side. Installing VS code and its extensions.
•  HTML:
• Running a HTML Program, implementing important HTML tags, Semantic and Non-Semantic tags, Inline and Block Elements, Creating Tables, Forms, Iframe tags, Ids and classes. Creating a basic HTML website.
•  CSS and Bootstrap:
• Introduction to CSS, Inline, Internal and External CSS. Different types of Selectors in CSS. Working with fonts, colors, Borders and Backgrounds in CSS. Box Model, Margin and Padding, Float and Clear, Styling links and Buttons, Creating a Navigation Menu, CSS Display Property and Visibility, Adding Box shadow and text shadow. Different Types of Positions, Various types of units, CSS Media Queries. CSS Flexbox, CSS Attributes. Variables and Custom Properties, Creating Animations and Keyframes. Creating Transitions in CSS. Transform property in CSS. Introduction to bootstrap. Bootstrap components, Adding navbar, alerts, badges, buttons, buttons groups, cards, carousels, Adding custom components, linking multiple pages, adding forms, modals, login & signup options. Creating a multiple page website with help of HTML, CSS and Bootstrap.
•  GIT, GITHUB, Hosting:
• Introduction to GIT and GITHUB - Introduction and its uses, Commands, Commit, Branch, Tags, Merge, Update, Creating Repositories and more. Hosting your projects on free hosting service providers.
• Part 2 - The Front-End
•  Javascript ES5 and ES6 :
• Introduction to JavaScript for Frontend & Backend. Limitations of Javascript. Why Javascript? Javascript Versions. Writing in-browser JavaScript and Developer Console. Variables, Data Types, Constants and Operators in Javascript.Strings and String Functions in Javascript Arrays & Objects in Javascript. Functions in JavaScript and Arrow Functions. Scope, If-else Conditionals & Switch Case. What is DOM? Navigating The DOM. Interaction - Alert, Prompt, Confirm. Loops - for loop, for while loop, for in loop, forEach loop, forOf loop, do While Loop. Events & Listening to Events. setInterval, clearInterval & setTimeOut, cleartimeout. Date & Time In JavaScript What is JSON? Working with JSON in Javascript. Math Object in Javascript. Promises in Javascript. Callback Functions. Local & Session storage. Creating functional projects such as calculators, to-do list etc. with the help of Html, CSS and Javascript.
• Part  3 - The Back-End
•  Python, Database Fundamental :
• Variables and Data Types: Understand how to store information in variables. Learn about different data types like integers, strings, and lists. Control Flow (Conditionals and Loops): Use if statements for decision-making. Learn loops (for and while) for repetitive tasks. Functions: Define and use functions to organize your code. Understand the concept of parameters and return values. Data Structures (Lists, Dictionaries): Explore common data structures for organizing and managing data. File Handling: Learn how to read from and write to files. Exception Handling: Understand how to handle errors gracefully in your code. Flask/Django Framework: Introduction to Web Frameworks: Understand the role of web frameworks in building applications. Choosing Between Flask and Django: Compare Flask (lightweight) and Django (full-stack) frameworks. Consider factors like project size and complexity. Setting Up a Project: Learn the initial setup and configuration for a Flask or Django project. Routing: Define routes to handle different URLs in your application. Views and Templates: Understand how views process user requests and templates generate the HTML. Models and Databases: Learn how to define data models and interact with databases. Forms (Django): Explore how to handle forms in Django for user input. Middleware and Extensions (Flask): Understand middleware and extensions for added functionality in Flask. Database Fundamentals: Introduction to Databases: Understand the purpose and types of databases. Relational Databases: Learn about relational databases and their components.
• Part  4 - The Database
•  SQL and Database connectivity :
• SQL: Advanced SQL Queries: Dive deeper into SELECT statements with more complex conditions and joins. Learn about GROUP BY, HAVING, and subqueries for advanced data manipulation. Indexes and Performance Optimization: Understand how to use indexes to optimize query performance. Explore techniques for improving the efficiency of your database. Transactions and ACID Properties: Learn about transactions and the ACID properties (Atomicity, Consistency, Isolation, Durability). Understand how to maintain data integrity in multi-step operations. Stored Procedures and Functions: Create and use stored procedures for reusable database logic. Implement user-defined functions to perform specific tasks. Triggers: Explore triggers for automatic execution of actions in response to specific events. Understand when and how to use triggers effectively. Database Connection with Python: Database Connection Libraries: Explore different Python libraries for connecting to various databases (e.g., psycopg2 for PostgreSQL, pymysql for MySQL, sqlite3 for SQLite). Connection Configuration: Learn how to configure connection parameters such as host, username, password, and database name. Understand the use of connection strings. Establishing a Connection: Write code to establish a connection between your Python application and the database. Handle exceptions and errors that may occur during the connection process. Executing SQL Statements from Python: Understand how to send SQL queries and statements from your Python code to the connected database. Utilize cursor objects for executing queries and fetching results. Handling Transactions: Learn to manage transactions in Python by committing or rolling back changes. Understand the importance of transaction management for data consistency. Connection Pooling: Explore connection pooling to efficiently manage and reuse database connections. Understand the benefits of connection pooling in a web application. ORM (Object-Relational Mapping): Understand how ORMs like SQLAlchemy simplify database interaction in Python. Explore basic ORM concepts such as models and queries.