Python
Course Overview:
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. With the advent of Information Technology, the career opportunities associated with python programming language have grown significantly. In fact, IT organizations are looking for candidates having an excellent core and advanced python skills. This has resulted in an increased demand for python professionals who can easily perform the programming tasks given to them. This also depicts a better career scope for python programmers in the future.
Course Content:
- Python Features
- Python History
- Python Applications
- Python Install
- Python Example
- Python Variables
- Python Data Types
- Python Keywords
- Python Literals
- Python Operators
- Python Comments
- Python If else
- Python Loops
- Python For Loop
- Python While Loop
- Python Break
- Python Continue
- Python Pass
- Python Strings
- Python Lists
- Python Tuples
- Python List Vs Tuple
- Python Sets
- Python Dictionary
- Python Functions
- Python Built-in Functions
- Python Lambda Functions
- Python Files I/O
- Python Modules
- Python Exceptions
- Python Date
- Python Regex
- Python Sending Email
- Read CSV File
- Write CSV File
- Read Excel File
- Write Excel File
- Python Assert
- Python List Comprehension
- Python Collection Module
- Python Math Module
- Python OS Module
- Python Random Module
- Python Statistics Module
- Python Sys Module
- Python IDEs
- Python Arrays
- Command Line Arguments
- Python Magic Method
- Python Stack & Queue
- PySpark MLlib
- Python Decorator
- Python Generators
- Web Scraping Using Python
- Python JSON
- Python Itertools
Python OOPs:
- Python OOPs Concepts
- Python Object Class
- Python Constructors
- Python Inheritance
- Python Case Study1
- Python Case Study2
Please Note:
Target Groups:-
* Engineering Students
– Electrical Students
– Electronics Students
– Mechanical Students
– Mechatronics Students
– IT Related Students
– Technical Students
* Working Professionals
– Mechanical Engineering
– Electrical Engineering
– Electronics Engineering
– Mechatronics Engineering
– IT Related Professionals
– Technicians
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1 Month
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Other
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EXECUTIVE CERTIFICATE IN HR ANALYTICS Course ID: CIPM-ECHRA
Duration
72 hours
Medium
English
