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Hi everyone !!!!!
PYTHON is one of the important languages in Programming.
So, let's start!!!

It is a resource from Udemy

Python tutorial - Python for beginners. This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time!
?Learn Python programming for a career in machine learning, data science & web development.

?Supplementary Materials (Spreadsheet):
http://bit.ly/30PPkaC


?Python Exercises for Beginners
https://goo.gl/1XnQB1


⭐My Favorite Python Books
- Python Crash Course: https://amzn.to/2GqMdjG
- Automate the Boring Stuff with Python: https://amzn.to/2N71d6S
- A Smarter Way to Learn Python: https://amzn.to/2UZa6lE
- Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL
- Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy


This Cave of Technology video on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples.

#PythonBasics #Pythontutorialforbeginners #learnpython #pythonforbeginners #pythonprogramming #pythontutorial #PythonTraining

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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.

Who should go for python?
CIT’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects

· Developers aspiring to be a ‘Machine Learning Engineer'

· Analytics Managers who are leading a team of analysts

· Business Analysts who want to understand Machine Learning (ML) Techniques

· Information Architects who want to gain expertise in Predictive Analytics

· 'Python' professionals who want to design automatic predictive models