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Python

Python

  1. Ease of Learning and Use

  2. Versatility

  3. Extensive Libraries and Frameworks

  4. Cross-Platform Compatibility

  5. High Demand in Industry

  6. Community Support

  7. Integration Capabilities

  8. Rapid Prototyping

  9. Automation and Scripting

  10. Scalability


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Syllabus

  •  History 
  •  Features 
  •  Setting up path 
  •  Working with Python 
  •  Basic Syntax 
  •  Variable and Data Types 
  •  Operator

  • If-else statements
  • Loops (for, while)
  • Break, continue, and pass

Functions 

  •  Defining a function 
  •  Calling a function 
  •  Types of functions 
  •  Function Arguments 
  •  Anonymous functions 
  • Global and local variables

Modules 

  •  Importing module 
  •  Math module 
  •  Random module 
  •  Packages 
  •  Composition

  • String
  • Lists, tuples, and sets
  • Dictionaries
  • List comprehensions

  • Classes and objects
  • Constructors and destructors
  • Inheritance, polymorphism, and encapsulation

  • NumPy and Pandas (for data analysis)
  • Matplotlib and Seaborn (for data visualization)
  • Flask or Django overview
  • Creating simple web applications
  • Tkinter programming 
  • Tkinter widgets 

  • Connecting to databases (MySql)
  • Integrity Constraints
  • Performing CRUD operations with SQL
  • Join Operation
  • DCL and TCL Commands

  • Generators and iterators
  • Decorators
  • Multithreading and multiprocessing

  • Building a real-world project
  • Code organization and best practices