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Python course

Location:
Chandigarh, Chandigarh - India

Published:
2025-02-09 18:14:32

Contact Info:
EXCELLENCETECHNOLOGY

Phone Number: 8580919334

Description: Beginner Level: 1. Introduction to Python: * What is Python? Why is it popular? * Installing Python and setting up an IDE (like VS Code or Jupyter Notebooks). 2. Basic Syntax: * Variables, data types (int, float, string, etc.), and basic operators. * Simple input/output with input() and print(). 3. Control Flow: * Conditional statements: if, elif, else. * Loops: for and while. 4. Functions: * Creating and calling functions. * Understanding function arguments and return values. 5. Data Structures: * Lists, Tuples, Sets, Dictionaries. * How to access, modify, and loop through these data structures. 6. Error Handling: * Understanding try, except, and catching errors. 7. Modules and Libraries: * Importing and using built-in Python modules. * Introduction to libraries like math, random, and datetime. Intermediate Level: 1. Object-Oriented Programming (OOP): * Classes, Objects, Methods, and Attributes. * Inheritance, Polymorphism, Encapsulation. 2. File Handling: * Reading from and writing to text files. * Working with CSV and JSON files. 3. Comprehensions: * List, set, and dictionary comprehensions for more concise code. 4. Regular Expressions (Regex): * Pattern matching and extracting data from strings. 5. Libraries for Data Science: * Introduction to NumPy, Pandas, and Matplotlib. Advanced Level: 1. Decorators and Generators: * Creating and using decorators. * Writing and understanding generators. 2. Concurrency: * Threads, asyncio, and multiprocessing. 3. Testing: * Unit testing with unittest or pytest. 4. Advanced Libraries: * Working with web frameworks (like Flask or Django). * Using APIs (RESTful APIs, JSON parsing).Beginner Level: 1. Introduction to Python: * What is Python? Why is it popular? * Installing Python and setting up an IDE (like VS Code or Jupyter Notebooks). 2. Basic Syntax: * Variables, data types (int, float, string, etc.), and basic operators. * Simple input/output with input() and print(). 3. Control Flow: * Conditional statements: if, elif, else. * Loops: for and while. 4. Functions: * Creating and calling functions. * Understanding function arguments and return values. 5. Data Structures: * Lists, Tuples, Sets, Dictionaries. * How to access, modify, and loop through these data structures. 6. Error Handling: * Understanding try, except, and catching errors. 7. Modules and Libraries: * Importing and using built-in Python modules. * Introduction to libraries like math, random, and datetime. Intermediate Level: 1. Object-Oriented Programming (OOP): * Classes, Objects, Methods, and Attributes. * Inheritance, Polymorphism, Encapsulation. 2. File Handling: * Reading from and writing to text files. * Working with CSV and JSON files. 3. Comprehensions: * List, set, and dictionary comprehensions for more concise code. 4. Regular Expressions (Regex): * Pattern matching and extracting data from strings. 5. Libraries for Data Science: * Introduction to NumPy, Pandas, and Matplotlib. Advanced Level: 1. Decorators and Generators: * Creating and using decorators. * Writing and understanding generators. 2. Concurrency: * Threads, asyncio, and multiprocessing. 3. Testing: * Unit testing with unittest or pytest. 4. Advanced Libraries: * Working with web frameworks (like Flask or Django). * Using APIs (RESTful APIs, JSON parsing).

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