Data Structure in Python

Hits: 132

Data Structure in Python

Data structures in Python are used to organize and store data in a specific format for easy access and manipulation. There are several types of data structures available in Python, each with their own advantages and use cases.

One of the most basic data structures in Python is the list. A list is an ordered collection of items, which can be of any data type. Lists are enclosed in square brackets and items are separated by commas. Lists are mutable which means you can change the elements once the list is created.

Another data structure in Python is the tuple. Tuples are similar to lists, but they are immutable, which means that the elements cannot be changed once the tuple is created. Tuples are enclosed in parentheses and items are separated by commas.

Dictionaries are another data structure in Python. They are unordered collections of key-value pairs, where each key is unique. Dictionaries are enclosed in curly braces and are used to store key-value pairs.

Sets are data structures in Python that store unordered and unique collection of items. Sets are enclosed in curly braces and are used to store unique values.

In summary, data structures in Python are used to organize and store data in a specific format for easy access and manipulation. There are several types of data structures available in Python such as lists, tuples, dictionaries and sets. Each data structure has its own advantages and use cases. Lists are mutable, Tuples are immutable, Dictionaries store key-value pairs and Sets store unique values.

 

In this Applied Machine Learning Recipe, the reader will learn: Data Structure in Python.



Data Structure in Python

Free Machine Learning & Data Science Coding Tutorials in Python & R for Beginners. Subscribe @ Western Australian Center for Applied Machine Learning & Data Science.

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $19.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!

https://setscholars.net/how-to-do-time-series-data-wrangling-in-a-pandas-dataframe-in-python/

C++ for Beginners: C++ Structure and Function

How to generate BAR plot using Pandas DataFrame in Python