Python Programming

What Will You Learn?

• By the end of this course, you will have a solid understanding of Python programming and be able to use it to solve real-world problems. Here's an outline of what you will learn:
• Introduction to Python Programming
• Understand the basics of Python programming and its use cases.
• Set up Python and an integrated development environment (IDE) for writing and executing Python code.
• Write your first Python program and learn about Python syntax, keywords, and comments.
• Variables and Data Types
• Learn about Python’s built-in data types: integers, floats, strings, and booleans.
• Work with variables to store and manipulate data.
• Understand typecasting, input/output, and how to work with different data structures.
• Control Structures
• Master conditional statements (if-else) and loops (for, while) in Python.
• Learn how to control the flow of a program and handle repetitive tasks efficiently.
• Functions and Modules
• Learn to define and use functions to organize code and perform tasks.
• Understand arguments and return values in Python functions.
• Explore Python modules and libraries to enhance the functionality of your programs.
• Data Structures
• Explore Python's powerful data structures such as lists, tuples, dictionaries, and sets.
• Learn how to store, access, and manipulate data effectively with these structures.
• Object-Oriented Programming (OOP) in Python
• Master the principles of Object-Oriented Programming (OOP), including classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
• Learn to create and work with classes and objects to model real-world entities in Python.
• File Handling
• Learn how to perform file operations, such as reading and writing files in Python.
• Understand how to work with text files, CSV files, and JSON files.
• Exception Handling
• Understand the importance of handling errors in Python programs.
• Learn how to use try-except blocks to manage exceptions and create more robust applications.
• Libraries and Frameworks in Python
• Dive into Python’s rich ecosystem of libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
• Explore web development frameworks like Flask and Django to build Python-based web applications.
• Working with APIs and Web Scraping
• Learn how to work with APIs to fetch data from external sources and interact with web services.
• Understand the basics of web scraping using libraries like BeautifulSoup to collect data from websites.
• Introduction to Data Science and Machine Learning with Python
• Understand how Python is used for data science and machine learning.
• Learn the fundamentals of data analysis, statistics, and machine learning algorithms using scikit-learn.
• Unit Testing and Debugging
• Learn how to write unit tests in Python using the unittest framework to ensure code quality and functionality.
• Master debugging techniques to find and fix issues in your Python code.
• Capstone Project
• Apply your knowledge in a final capstone project where you will develop a real-world Python application.
• Showcase your skills by creating a fully functional project that demonstrates your ability to work with Python in various domains, such as web development, data analysis, or automation.
• Gnanavasi Technology offers a hands-on approach to learning Python, ensuring you build practical skills that can be immediately applied in real-world projects. Whether you're interested in web development, data analysis, or automation, this Python course will provide you with the knowledge and experience needed to excel in your career.