Python

Trainer Name : Dathathreya 7 + yrs of exp

Advanced 0(0 Ratings) 0 Students Enrolled
Created By Harsha Trainings Last Updated Tue, 11-Feb-2020 English

About The Instructor
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  • 17 Students
  • 11 Courses
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Harsha Trainings is the Best Leader in providing PEGA Training. Our harsha has 6+ years of experience working with all types of Rules in PEGA.
Best pega training institute in Hyderabad which provides Classroom Online and Corporate training across the globe.
Course Schedules
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Weekday Batch

Classroom

17 Feb 2020 MON - FRI
(42 Days)
06:30 AM - 07:30 AM IST
(01:00 Hours)
What Will I Learn?
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Description

Curriculum For This Course
144 Lessons
  • Introduction to Python
  • Python use cases
  • The Birth of Python
  • Python Timeline
  • Python Vs other languages
  • Features of Python
  • Versions of Python
  • Python distributions
  • What is Exception?
  • Installation of Python on WINDOWS and LINUX
  • Path settings for Python
  • Python Documentation
  • Getting Help
  • Working with Python Command Line Shell
  • Working with Editors and IDE’s
  • Basic Syntax
  • Running Python Scripts on WINDOWS
  • Running Python Scripts on LINUX
  • Working with python cloud
  • Executing Python Scripts on Android
  • Executing Python Scripts on IOS
  • Working with IDLE
  • Keywords
  • Data Types
  • Static Data Types versus Dynamic Data Types
  • Fundamental Data Types
  • Collection Types
  • Number systems
  • Mutable objects vs. Immutable objects
  • Iterable objects vs. non Iterable objects
  • Variables
  • Naming Conventions
  • print(), type() , id(), input() Functions
  • Type Conversion functions
  • Introduction to collections
  • list objects creation
  • list indexing and slicing
  • applying iterations on list objects
  • nested lists
  • eliminating duplicate elements of list
  • working with methods of list
  • sorting elements of a list
  • searching for a required element in list
  • list comprehensions
  • tuple objects creation
  • tuple indexing and slicing
  • Applying literations of tuple objects
  • nested Tuples
  • storing list objects in Tuples
  • differences between list and tuple
  • working with methods of tuple
  • creating set objects
  • applying iterations on set objects
  • performing set operations on set objects
  • working with methods of Set
  • set comprehensions
  • creating dictionary objects
  • working with dictionary keys and values
  • applying iterations on dictionary objects
  • working with methods of dictionary
  • merging dictionaries
  • dictionary comprehensions
  • Defining a function
  • Calling a function
  • Function Parameters
  • Types of parameters
  • Syntax Errors
  • Runtime Errors
  • Need of Exception handling
  • Predefined Exceptions
  • Predefined Exceptions Hierarchy
  • try, except and finally clauses
  • Introduction to Python
  • Python use cases
  • The Birth of Python
  • Python Timeline
  • Python Vs other languages
  • Features of Python
  • Versions of Python
  • Python distributions
  • What is Exception?
  • Installation of Python on WINDOWS and LINUX
  • Path settings for Python
  • Python Documentation
  • Getting Help
  • Working with Python Command Line Shell
  • Working with Editors and IDE’s
  • Basic Syntax
  • Running Python Scripts on WINDOWS
  • Running Python Scripts on LINUX
  • Working with python cloud
  • Executing Python Scripts on Android
  • Executing Python Scripts on IOS
  • Working with IDLE
  • Keywords
  • Data Types
  • Static Data Types versus Dynamic Data Types
  • Fundamental Data Types
  • Collection Types
  • Number systems
  • Mutable objects vs. Immutable objects
  • Iterable objects vs. non Iterable objects
  • Variables
  • Naming Conventions
  • print(), type() , id(), input() Functions
  • Type Conversion functions
  • Introduction to collections
  • list objects creation
  • list indexing and slicing
  • applying iterations on list objects
  • nested lists
  • eliminating duplicate elements of list
  • working with methods of list
  • sorting elements of a list
  • searching for a required element in list
  • list comprehensions
  • tuple objects creation
  • tuple indexing and slicing
  • Applying literations of tuple objects
  • nested Tuples
  • storing list objects in Tuples
  • differences between list and tuple
  • working with methods of tuple
  • creating set objects
  • applying iterations on set objects
  • performing set operations on set objects
  • working with methods of Set
  • set comprehensions
  • creating dictionary objects
  • working with dictionary keys and values
  • applying iterations on dictionary objects
  • working with methods of dictionary
  • merging dictionaries
  • dictionary comprehensions
  • Defining a function
  • Calling a function
  • Function Parameters
  • Types of parameters
  • Syntax Errors
  • Runtime Errors
  • Need of Exception handling
  • Predefined Exceptions
  • Predefined Exceptions Hierarchy
  • try, except and finally clauses
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Rs.2000 Rs.10000
Includes:
  • On Demand Videos
  • 144 Lessons
  • Full Lifetime Access
  • Access On Mobile And Tv