Tuple In Python | Python Tuple Tutorial With Example | Python Training | Edureka

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka video on Tuple In Python will help you understand how we can use Python Tuples with various examples for better understanding. A tuple is an immutable data type in Python, almost similar to a list in python in terms of indexing and having duplicate members. It is a collection data type that stores Python objects separated by commas. Python Tuples will be further explained through the following topics in this Python Tutorial:
00:00 Introduction
00:51 What Is Tuple In Python?
02:10 Accessing Elements In A Tuple
05:40 Changing A Tuple
07:14 Concatenating Two Tuples
08:12 Deleting A Tuple
08:54 Tuple Methods
10:23 Python List vs Python Tuple
11:24 Tuple Constructor
12:16 Other Examples

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About the Python for Data Science Certification Training by Edureka

Edureka’s Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science.

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Why learn Python?
Python Programming is one of the most loved languages by developers, data scientists, software engineers, and even hackers as it is versatile, flexible, and object-oriented. The primary reason behind the popularity of Python is that even though it is capable of performing complex tasks, it is very easy to learn coding with Python.

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Python for Data Science Training Curriculum

This Data Science using Python Certification Training will give you a brief introduction to Python Tuples through concepts like Accessing Items In A Tuple, Indexing, Slicing, Changing A Tuple
Concatenating Two Tuples, Deleting A Tuple, Tuple Methods, and many more.
It also covers the concepts like Python Sequences and File Operations, Python Functions, OOP in Python, Python Modules, Python Errors and Exceptions, Python Libraries like NumPy, Pandas and Matplotlib, Data Manipulation, Introduction to Machine Learning with Python, Supervised Learning using Python, Dimensionality Reduction, Association Rules Mining and Recommendation Systems, Reinforcement Learning, Time Series Analysis using Python, Model Selection and Boosting etc.

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Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for professionals like:

· 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
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

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