Python is one of the most popular programming languages in the world today, known for its simplicity and versatility. It is widely used across various industries, from web development and data science to artificial intelligence and automation.
Python training programs offer structured learning paths to help beginners and professionals gain the skills they need to excel in coding with Python.
Python training equips you with hands-on experience through projects and assignments,
enabling you to apply your knowledge in real-world applications.
Benefits of Python programming
Python is easy to learn, versatile, and supported by extensive libraries, making it suitable for web development, data science, AI, and more. With strong community support and high demand in the job market,
Python opens up diverse career opportunities and simplifies complex tasks.
Why Should You Learn Python Programming?
Python’s simplicity makes it ideal for beginners, while its power enables advanced applications like automation and machine learning. It’s a high-demand skill across tech industries, allowing learners
to explore high-paying careers and stay at the forefront of technology.
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07:00 AM & 09:00 AM Batches (Class 1Hr - 1:30Hrs) / Per Session
Python Training Course Syllabus
Module1-Introduction to Python
Introduction to Python
Introduction to Python and setting up the environment
Basic syntax, variables, and data types
Operators, control structures (if, for, while), and basic input/output
Module 2- Data Structures and Collections
Lists, tuples, sets, and dictionaries
Working with arrays and collections
Basic algorithms and operations with data structures (sorting, filtering, etc.)
Module 3 - Functions and Modules
Defining and calling functions
Function arguments, return values, and lambda functions
Introduction to modules, importing libraries, and creating custom modules.
Module 4-Object-Oriented Programming (OOP)
Classes and objects, attributes, and methods
Inheritance, encapsulation, and polymorphism
Understanding and implementing OOP principles in Python
Module 5 - File Handling and Exception Management
Reading from and writing to files
Working with different file formats (text, CSV, JSON)
Error handling with try-except, debugging, and best practice
Module 6 - Advanced Topics and Libraries
Introduction to popular libraries like NumPy, Pandas, and Matplotlib
Basics of data visualization and analysis
Overview of web development with Django or Flask, or automation with Python scripts
