Python

Python is a great first language for beginners because of its easy-to-understand syntax. For experienced developers, Python offers advanced capabilities and libraries that allow them to build scalable, efficient solutions. It is one of the most popular languages in the world, making it an excellent choice for those looking to advance their careers in software development.

Course Highlights

Comprehensive Curriculum: Covers Python basics to advanced topics, including data structures, OOP, and libraries like NumPy and Pandas.
Hands-On Training: Get practical experience through real-world projects and coding exercises.
Expert Instructors: Learn from experienced professionals in Python development.
Placement Assistance: Career guidance, mock interviews, and job referrals to help you secure employment.

Our Python training course is structured to take you from beginner to advanced level, covering all the essential concepts needed to become a proficient Python developer.

1. Introduction to Python

Overview of Python programming
Setting up the Python environment (Anaconda, Jupyter, VS Code)
Writing your first Python program
Python syntax and basic commands

2. Python Basics

Variables, data types, and operators
Input/output functions
Control flow statements: if-else, loops (for, while)
Lists, tuples, sets, and dictionaries
Working with strings and formatting

3. Functions and Modules

Defining and calling functions
Lambda expressions and map/filter functions
Modules and packages in Python
Error handling and exceptions

4. Object-Oriented Programming (OOP) in Python

Classes and objects
Inheritance, polymorphism, and encapsulation
Magic methods and operator overloading
Working with files and directories

5. Python for Data Analysis

Introduction to NumPy and array manipulation
Data manipulation with Pandas
Data visualization with Matplotlib and Seaborn
Exploratory Data Analysis (EDA)

6. Python for Web Development

Introduction to Django
Creating RESTful APIs with Django
Template rendering and dynamic web pages
Database integration (SQLite, PostgreSQL)

7. Python for Automation

Automating tasks with Python scripts
Working with OS and system libraries
Web scraping with BeautifulSoup and Scrapy
Automating browser tasks with Selenium

8. Advanced Python Topics

Working with regular expressions
File handling and I/O operations
Decorators and generators
Multithreading and multiprocessing

This course is suitable for:

Students and Fresh Graduates looking to learn their first programming language.
Software Developers and Engineers aiming to expand their skill set with Python.
Data Analysts and Scientists who want to use Python for data manipulation and analysis.
IT Professionals interested in automation and scripting using Python.
Aspiring Machine Learning Engineers who want to learn Python for ML and AI projects.

Career Opportunities

With Java Full Stack Development skills, you can apply for roles such as:

Python Developer
Data Analyst
Web Developer
Automation Engineer
Machine Learning Engineer
Software Engineer

Prerequisites

Any Degree pursuing or passed out
Computer knowledge is not required
Laptop or Desktop with internet is necessary