Complete Practical Python

Python

Anaconda

OOP in Python

Design Pattern In Python

Lambda Python

Iterator Decorator Generator

Modules
+
Exercises
+
Articles
Hrs/Week
Articles
40 Hrs

Duration

Python

Certification

Course Objective :

Become a NodeJS Expert and learn one of most programming skills for the future!.

What Will I Learn?

  • Basic Concepts of core Python
  • Integration with Python Packages
  • Complete Web Application in Python
  • Coding Techniques

Includes:

  • 40 Hrs of Classroom
  • 30+ coding Exercises
  • 10+ Projects
  • 5+ Articles
  • 9 Hrs/Week

Course Structure

  •  Origin of Python Why Python? Who uses Python? What Python can do for you? Python  
  •  Machine Learning Future is Here Features of Python
 Python Execution model  
  •  Simple program with Overview of comments, blocks and indentation Seven Data types of Python  
  •  Integer, Float, String,List, tuple, Dictionary & Sets  
  •  Classification of Data Types in Python  
  •  Mutable or immutable, Hashable or unhashable, Iterable or non- iterable, Ordered or unordered collection  
  •  Five Fundamentals of coding Input, Output, Variable and Logics, Conditionals – if- else, Repetitions – loops(For, While)  
  •  Assignments and Imports in Python  
  •  Functions in Python, Function declaration Call Arguments in Function *args and **kwargs scope, Parameter, and return statement  
  •  Exceptional Handling in Python Try, except, raise, finally  
  •  Debugging in Python Clean, efficient and maintainable Coding Principles 
  •  

• Object oriented Programming, Thinking – Why, Thinking in terms of object –     attributes and methods  

• Class and Class instance – methods and attributes Constructors  

• Inheritance: Is-a, Has-a relationship  

• Abstraction and Meta class Encapsulation and packaging  

• bonding and coupling Polymorphism and Duck typing  

• Method resolution Order and LEGB Operator and method  overloading   Iterators  and Generator object First class Function and Function object   Closure  

• Decorator  

• Lambda Functions – Map, Reduce, Filter, Zip Functional Programming  

• Design Pattern in Python DRY, KISS, SOLID Principles

  •  Use of Python Library
  •  SYS module
  •  OS Module
  •  Logging Module
  •  JSON Module
  •  Regex Module
  •  Request Module
  •  Random Module
  •  Math Module
  •  Code completion
  •  Code completion with auto import
  •  Syntax highlighting
  •  Code analysis
  •  Go to definition
  •  Refactoring
  •  Mark occurrences
  •  Debugger
  •  Remote Debugger
  •  Interactive browser
  •  Unit test integration
  •  Code coverage

1 Months ( Monday to Friday )

Fees : 8,999/-

Register now for Faculty Development Program at PCCOE!

Complete Practical Python

Python

Anaconda

OOP in Python

Design Pattern In Python

Lambda Python

Iterator Decorator Generator

Modules
+
Exercises
+
Articles
Hrs/Week
Articles
40 Hrs

Duration

Python

Certification

Course Objective :

Become a NodeJS Expert and learn one of most programming skills for the future!.

What Will I Learn?

  • Basic Concepts of core Python
  • Integration with Python Packages
  • Complete Web Application in Python
  • Coding Techniques

Includes:

  • 40 Hrs of Classroom
  • 30+ coding Exercises
  • 10+ Projects
  • 5+ Articles
  • 9 Hrs/Week

Course Structure

  •  Origin of Python Why Python? Who uses Python? What Python can do for you? Python  
  •  Machine Learning Future is Here Features of Python
 Python Execution model  
  •  Simple program with Overview of comments, blocks and indentation Seven Data types of Python  
  •  Integer, Float, String,List, tuple, Dictionary & Sets  
  •  Classification of Data Types in Python  
  •  Mutable or immutable, Hashable or unhashable, Iterable or non- iterable, Ordered or unordered collection  
  •  Five Fundamentals of coding Input, Output, Variable and Logics, Conditionals – if- else, Repetitions – loops(For, While)  
  •  Assignments and Imports in Python  
  •  Functions in Python, Function declaration Call Arguments in Function *args and **kwargs scope, Parameter, and return statement  
  •  Exceptional Handling in Python Try, except, raise, finally  
  •  Debugging in Python Clean, efficient and maintainable Coding Principles 
  •  

• Object oriented Programming, Thinking – Why, Thinking in terms of object –     attributes and methods  

• Class and Class instance – methods and attributes Constructors  

• Inheritance: Is-a, Has-a relationship  

• Abstraction and Meta class Encapsulation and packaging  

• bonding and coupling Polymorphism and Duck typing  

• Method resolution Order and LEGB Operator and method  overloading   Iterators  and Generator object First class Function and Function object   Closure  

• Decorator  

• Lambda Functions – Map, Reduce, Filter, Zip Functional Programming  

• Design Pattern in Python DRY, KISS, SOLID Principles

  •  Use of Python Library
  •  SYS module
  •  OS Module
  •  Logging Module
  •  JSON Module
  •  Regex Module
  •  Request Module
  •  Random Module
  •  Math Module
  •  Code completion
  •  Code completion with auto import
  •  Syntax highlighting
  •  Code analysis
  •  Go to definition
  •  Refactoring
  •  Mark occurrences
  •  Debugger
  •  Remote Debugger
  •  Interactive browser
  •  Unit test integration
  •  Code coverage

1 Months ( Monday to Friday )

Fees : 8,999/-

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