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Python Language

Python is easy to learn and easy to understand scripting language which makes it attractive for Application Development.

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    4.8 (313 ratings)       1523 students enrolled this month

Offer by ATTITUDE ACADEMY    Last updated:- Feb 20, 2024

What you'll learn

These topics will help you learn python from scratch.

  • Python Syntax.
  • Python statements, indentation and comments.
  • Python variable and data types.
  • Python operator.
  • Python numbers.
  • Python strings.
  • Python data structures.
  • Python lists.

More....

Requirements

Students should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages.

Description

Python\\\\\\\'s syntax and dynamic typing with its interpreted nature, makes it an ideal language for scripting and rapid application development (RAD). Python is not intended to work on special area such as web programming. That is why it is known asmultipurpose because it can be used with web, enterprise, 3D CAD etc.

  • What is Python?
  • Python's history and popularity
  • Setting up a Python development environment
  • Writing and running Python scripts

  • Variables and data types
  • Basic input and output
  • Operators and expressions
  • Variables and memory management

  • Conditional statements (if, elif, else)
  • Loops (for and while)
  • Break and continue statements
  • Error handling with try and except

  • Lists, tuples, and sets
  • Dictionaries and their usage
  • Slicing and indexing
  • List comprehensions

  • Defining and calling functions
  • Function parameters and return values
  • Scope and lifetime of variables
  • Lambda functions and built-in functions

  • Reading and writing text files
  • Working with CSV and JSON files
  • File manipulation and error handling

  • Introduction to OOP principles
  • Classes and objects in Python
  • Encapsulation, inheritance, and polymorphism
  • Creating and using classes

  • Writing clean and readable code
  • Python naming conventions (PEP 8)
  • Code commenting and documentation
  • Code optimization and profiling

  • Importing and using modules
  • Creating custom modules
  • Working with standard library modules
  • Organizing code into packages

  • Common errors and exceptions
  • Debugging tools and techniques
  • Handling exceptions with try and except

  • Basic data structures (e.g., arrays, linked lists, stacks, and queues)
  • Basic algorithmic concepts
  • Sorting and searching algorithms

  • Students work on a small Python project
  • Applying the knowledge and skills acquired throughout the course
  • Project presentation and peer review

  • Review of key takeaways and skills acquired
  • Opportunities for further learning and career prospects in Python programming
  • Preparing for advanced Python topics and certifications

Limited Period Offer
INR 999/- INR 12000/- 92% Off
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Includes

What you'll learn

These topics will help you learn python from scratch.

  • Python Syntax.
  • Python statements, indentation and comments.
  • Python variable and data types.
  • Python operator.
  • Python numbers.
  • Python strings.
  • Python data structures.
  • Python lists.

More....

Requirements

Students should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages.

Description

Python\\\\\\\'s syntax and dynamic typing with its interpreted nature, makes it an ideal language for scripting and rapid application development (RAD). Python is not intended to work on special area such as web programming. That is why it is known asmultipurpose because it can be used with web, enterprise, 3D CAD etc.

  • What is Python?
  • Python's history and popularity
  • Setting up a Python development environment
  • Writing and running Python scripts

  • Variables and data types
  • Basic input and output
  • Operators and expressions
  • Variables and memory management

  • Conditional statements (if, elif, else)
  • Loops (for and while)
  • Break and continue statements
  • Error handling with try and except

  • Lists, tuples, and sets
  • Dictionaries and their usage
  • Slicing and indexing
  • List comprehensions

  • Defining and calling functions
  • Function parameters and return values
  • Scope and lifetime of variables
  • Lambda functions and built-in functions

  • Reading and writing text files
  • Working with CSV and JSON files
  • File manipulation and error handling

  • Introduction to OOP principles
  • Classes and objects in Python
  • Encapsulation, inheritance, and polymorphism
  • Creating and using classes

  • Writing clean and readable code
  • Python naming conventions (PEP 8)
  • Code commenting and documentation
  • Code optimization and profiling

  • Importing and using modules
  • Creating custom modules
  • Working with standard library modules
  • Organizing code into packages

  • Common errors and exceptions
  • Debugging tools and techniques
  • Handling exceptions with try and except

  • Basic data structures (e.g., arrays, linked lists, stacks, and queues)
  • Basic algorithmic concepts
  • Sorting and searching algorithms

  • Students work on a small Python project
  • Applying the knowledge and skills acquired throughout the course
  • Project presentation and peer review

  • Review of key takeaways and skills acquired
  • Opportunities for further learning and career prospects in Python programming
  • Preparing for advanced Python topics and certifications

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