Hello! Python Programming Course

Best Python Programming Course in Kerala

A Whole Guide to Python Programming Course : Learn skills that are in demand and become equipped for work in Kerala.

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Hello! Python Programming Course

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Course Curriculum: Your Journey to Python Proficiency

Our Python Programming Course is meticulously crafted to equip you with the essential skills to become a proficient Python developer. Here’s a glimpse into the exciting world of Python programming that awaits you:

Module 1: Introduction to Programming and Python

This module will introduce programming concepts and the Python programming language, covering fundamental concepts and syntax.

Lesson 1: Understanding Programming Concepts

Introduction to the Basics of Programming, including Algorithms, Data Structures, and Control Flow
Exploring the Importance of Programming in Problem Solving and Automation

Lesson 2: Introduction to the Python Programming Language

An Overview of Python as a High-Level, Interpreted Programming Language with a Simple and Elegant Syntax
Understanding the Versatility and Applications of Python in Web Development, Data Science, Machine Learning, and More

Lesson 3: Setting Up the Python Environment

Installing and configuring Python on your local machine or development environment
Exploring Python Integrated Development Environments (IDEs) and Text Editors for Writing Python Code

Lesson 4: Python Basics: Variables and Data Types

Understanding Variables as Containers for Storing Data and Values in Python
Exploring Different Data Types in Python, including Integers, Floats, Strings, Lists, Tuples, and Dictionaries

Lesson 5: Python Basics: Operators and Expressions

Introduction to Operators for Performing Arithmetic, Comparison, Logical, and Assignment Operations in Python
Understanding expressions as combinations of operators and using operators to perform computations is crucial.

Lesson 6: Python Basics: Control Flow and Conditional Statements

Exploring Control Flow Constructs for Controlling Program Execution Flow, such as If Statements, Else-If Statements, and Loops
Making decisions and executing code blocks based on conditional statements

Lesson 7: Python Basics: Functions and Modules

Defining and Calling Functions to Encapsulate and Reuse Code Blocks in Python Programs
Organizing Code into Modules and Packages for Better Code Organization and Reusability

Lesson 8: Python Basics: Input and Output

In Python, reading user input and displaying output to the console or standard output
Using input and output functions, such as input(), print(), and formatted string literals, to interact with users

Lesson 9: Python Basics: Exception Handling

Handling Errors and Exceptions in Python Programs Using Try-Except Blocks
Writing Robust and Fault-Tolerant Code by Handling and Responding to Errors Gracefully

Lesson 10: Python Basics: Introduction to Object-Oriented Programming (OOP)

Introduction to Object-Oriented Programming (OOP) Concepts, including Classes, Objects, Inheritance, and Polymorphism
Understanding the Principles of OOP and its application in Python programming is crucial.

Module 2: Building Blocks of Python

Master variables, data types (int, float, str, etc.) for storing and manipulating data.
Understand operators (arithmetic, relational, logical) for performing calculations and comparisons.

Module 3: Control Flow Statements in Python

Learn how to control the program flow using if-else statements, loops (for, while loops) to create dynamic and interactive programs.

Module 4: Functions in Python

Understand the concept of functions for modularizing code and improving readability. Learn how to create functions, pass arguments, and return values.

Module 5: Working with Lists, Tuples, and Dictionaries

Explore various data structures in Python: lists (mutable ordered sequences), tuples (immutable ordered sequences), and dictionaries (unordered key-value pairs).

Module 6: Modules and Packages

Understand how to import and utilize modules and packages, promoting code reusability and organization in larger projects.

Module 7: Object-Oriented Programming:

Explore object-oriented programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism (may vary depending on the course content).

Module 8: Data Analysis with Python :

Learn how to leverage powerful Python libraries like NumPy and Pandas for data analysis, manipulation, and visualization (may vary depending on the course content).

Module 9: Web Development with Python :

In this module, we will delve into web development using Python, exploring frameworks, tools, and techniques to build dynamic and interactive web applications.

Lesson 1: Introduction to Web Development with Python

An Overview of Python’s Role in Web Development and Its Advantages as a Backend Language
Understanding the Client-Server Architecture and Python’s Role in Server-side Scripting

Lesson 2: Setting Up the Development Environment

Setting up a Python Development Environment with IDEs (Integrated Development Environments), such as PyCharm or Visual Studio Code
Installing Python packages and libraries for web development, such as Flask or Django

Lesson 3: Flask: A Lightweight Web Framework

Introduction to Flask as a lightweight and flexible web framework for Python
Creating and Configuring Flask Applications, Routes, and Views

Lesson 4: Handling Requests and Responses

Handling HTTP Requests and Responses in Flask Applications
Implementing Route Handlers for Different HTTP Methods (GET, POST, PUT, DELETE)

Lesson 5: Templating with Jinja2

Using the Jinja2 Templating Engine to Generate Dynamic HTML Content in Flask Applications
The process involves creating templates, ensuring template inheritance, and defining template variables.

Lesson 6: Working with Forms and Data

The task involves building HTML forms and processing form data in Flask applications.
Validating and Handling Form Submissions, Input Sanitization, and CSRF Protection

Lesson 7: Database Integration with SQL Alchemy

Using SQLAlchemy ORM (Object-Relational Mapper)
Creating database models, querying data, and performing CRUD operations

Lesson 8: Authentication and Authorization

Implementing user authentication and authorization in Flask applications
Managing User Sessions, Password Hashing, and Role-Based Access Control (RBAC)

Lesson 9: RESTful APIs with Flask

Designing and Implementing RESTful APIs (Application Programming Interfaces) Using Flask
Creating API Endpoints, Handling Requests, and Returning JSON Responses

Lesson 10: Deploying Flask Applications

Deploying Flask Applications to Production Environments Using WSGI Servers (e.g., uWSGI, Gunicorn) and Deployment Platforms (e.g., Heroku, AWS)
Configuring Production Environment Variables, Security Measures, and Monitoring Tools