Creating Python Modules in PyCharm | Python Programming in Hindi

Опубликовано: 17 Ноябрь 2020
на канале: The Engineers Guide
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This series on 'Complete Python Bootcamp' will help you understand all the concepts you need to know in order to learn Python Programming.

This course is especially designed in HINDI to teach you the foundations of Python Programming in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed to understand this course. By the end of this course, you'll understand the benefits of python programming in different aspects; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve any complex programming problem.

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Skills You Gain in this Course :
Introduction to Python Programming Language
Basic Python Data Structure
Fundamental Programming Concepts
Basic Python Syntax
Python Programming
Object-Oriented Programming
File Handling in Python
Exception Handling

Bonus Skills :
we will develop some interesting Python programs after completion of this Course.


Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.





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