Sale!
python

python

Original price was: ₹35,000.00.Current price is: ₹29,999.00.

This course is designed for individuals seeking to learn Python, a versatile and powerful programming language widely used in various domains such as web development, data analysis, machine learning, and automation. The course caters to beginners and those with minimal programming experience.

Course Objectives:

  • Introduce participants to the fundamentals of Python programming.
  • Develop proficiency in writing Python code to solve problems and automate tasks.
  • Provide hands-on experience through exercises, projects, and real-world scenarios.
  • Enable learners to use Python for various applications, including web development, data analysis, and more.
Category:

Description

1. Introduction to Python:

  • Basics of Python syntax, data types, variables, operators, and basic I/O operations.

2. Control Structures:

  • Conditional statements (if-else), loops (for, while), and flow control.

3. Functions and Modules:

  • Defining functions, function arguments, return values, and working with modules for code organization.

4. Data Structures:

  • Lists, tuples, dictionaries, sets, and their manipulation and usage.

5. File Handling:

  • Reading from and writing to files, handling different file formats, and working with directories.

6. Exception Handling:

  • Managing errors and exceptions using try-except blocks, handling exceptions gracefully.

7. Object-Oriented Programming (OOP):

  • Classes, objects, inheritance, polymorphism, encapsulation, and abstraction.

8. Regular Expressions:

  • Pattern matching using regular expressions for text processing.

9. Database Connectivity:

  • Working with databases using Python, integrating SQL databases, and executing queries.

10. GUI Programming (Tkinter): – Basics of graphical user interface (GUI) development using Tkinter or other libraries.

11. Web Development (Optional): – Basics of web development using frameworks like Flask or Django, creating web applications.

12. Data Analysis and Visualization: – Introduction to data analysis libraries (such as Pandas) and visualization tools (such as Matplotlib or Seaborn).

13. Working with APIs: – Consuming APIs, making HTTP requests, and handling JSON data.

14. Testing and Debugging: – Writing test cases, debugging techniques, and best practices.

15. Project Work: – Hands-on projects or exercises to apply learned concepts and reinforce skills.

Related products