Secure Code Practices

Secure coding practices are guidelines and techniques that developers should follow to minimize security vulnerabilities in their software..

Hindi Tamil Telugu Bengali Marathi
12,345+ students
Certificate
8 weeks

₹10000.00

  • 60+ hours of video content
  • 15 hands-on projects
  • 24/7 support in regional languages
  • Real-world project experience
  • Career counseling & resume-building workshops
  • Industry-recognized certification upon completion
Enroll Now

Course Description

This beginner-friendly Python course is designed to make coding accessible to everyone. You'll learn by doing - writing real Python programs from the very first class. We focus on practical skills you can use immediately, whether for automation, data analysis, or building your first app.

Skills You'll Gain

Frontend Development

React, JavaScript ES6+, HTML5 & CSS3

Backend Development

Node.js, Express.js, RESTful APIs

Database Management

MongoDB, Mongoose, Data Modeling

Security & Testing

Authentication, JWT, Unit Testing

What You'll Learn

  • Working with lists, dictionaries, and tuples
  • Variables, data types, and operators
  • Error handling and debugging
  • Object-Oriented Programming (OOP) concepts
  • Automate boring tasks (file management, data entry)
  • Build simple games and utilities
  • Problem-solving strategies
  • Where to find free learning resources

Course Curriculum

  • Python Installation & Setup (Anaconda, Jupyter Notebook)
  • Basic Syntax (Print, Indentation, Comments)
  • Variables & Data Types (int, float, str, bool)
  • User Input (input() function)
  • Type Conversion (str to int, float to int, etc.)
  • Project: Simple calculator

  • Conditional Statements (if, elif, else)
  • Logical Operators (and, or, not)
  • Loops (for, while, range)
  • Loop Control (break, continue, pass)
  • Nested Loops
  • Project: Number guessing game

  • Defining Functions (def, parameters, return)
  • Lambda Functions (Anonymous functions)
  • Built-in Functions (len(), sum(), max())
  • Importing Modules (math, random)
  • Creating Custom Modules
  • Project: Dice rolling simulator

  • Lists (Indexing, Slicing, Methods)
  • Tuples (Immutable lists)
  • Dictionaries (Key-value pairs)
  • Sets (Unique elements, operations)
  • List Comprehensions
  • Project: To-Do List Manager

  • Reading Files (open(), read(), readlines())
  • Writing Files (write(), append)
  • CSV Files (csv module)
  • Exception Handling (try, except, finally)
  • Working with JSON
  • Project: Student gradebook system

  • Classes & Objects
  • Attributes & Methods
  • Inheritance (Parent-child classes)
  • Polymorphism (Method overriding)
  • Encapsulation (Private variables)
  • Project: Bank account simulator

  • NumPy Basics (Arrays, operations)
  • Pandas Intro (DataFrames, Series)
  • Matplotlib (Line plots, bar charts)
  • Requests Module (HTTP requests)
  • DateTime Module
  • Project: Weather data analyzer

  • Problem Statement (Real-world problem)
  • Planning & Pseudocode
  • Implementation (Writing code)
  • Debugging & Testing
  • Presentation
  • Final Project: Personal finance tracker

What Students Say

Aarav S

"I was scared of coding, but this course made Python so easy! The step-by-step projects helped me build confidence. Now I automate tasks at my job!"

Priya R

"The Hindi explanations were a lifesaver! I run a small business and now automate invoices using Python. Best investment ever!"

Requirements

  • Basic computer skills
  • No prior programming experience needed
  • A computer with Windows, Mac or Linux
  • Internet connection

Course Highlights

  • 15 Projects

    Hands-on practical exercises

  • Mobile Access

    Learn on the go

  • Certificate

    Upon completion

Instructor

Dr. Ananya Pandey

Senior Python Developer & Educator | 12+ years teaching programming

Learning should be fun! I break complex concepts into simple, relatable examples. My focus is helping you build confidence to write your own code.

12,345+ students 4.8 Instructor Rating 15 courses