Python - Introduction to Data Structures (English Version) | Pandas | Numpy | Series | DataFrames

Python Tutorial - Introduction to Data Structures (English Version) | Python Pandas | Numpy | Series | DataFrames

Python Tutorial - In this video we will be learning about the Python introductory libraries such as Pandas and Numpy. These librabries will give you a short introduction of Python Data Structure such as Series and DataFrames.

What is Pandas in Python ?

The most often used open source Python library for data science, data analysis, and machine learning activities is called Pandas. It is constructed on top of Numpy, a different package that supports multi-dimensional arrays.

What is Series Data Structure ?

A Series is a one-dimensional array-like object with an associated array of data labels called its index that holds a succession of values of kinds that are similar to NumPy types.

Download Jupyter Notebook here:
https://drive.google.com/file/d/1w73aYQFmIQWju843PXVWpsWvZfwxt0g1/view?usp=sharing

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What advantages does Python offer?

Python programming has a wide range of functionality and may be used to create algorithms, scripts, and data structures, as well as to scrape the web.

Applications written in Python cover a wide range of tasks related to data analytics, automation, artificial intelligence, and data visualization.

Due to the abundance of open-source Python modules, such as scikit-learn, pandas, SciPy, Matplotlib, and NumPy, as well as frameworks like Flask and Django, Python is a favourite among data scientists.

Businesses that use Python programming:

Insurance: Making use of machine learning to produce business insights
Retail Banking: Versatile data processing and transformation
Aerospace: Observing deadlines for software systems
Finance: Utilizing data mining to find cross-selling opportunities
Business Services: Financial data access via API
Hardware: Automating network management
Healthcare: Predicting the course of a disease
Consulting Services: Individual web development
InfoTech: Modernizing IT
Software: Making legacy software extensible

Tags
#pandas #pythonpandas #numpy #pythontutorial #python #pythonprogramming #data #datastructures #pythonforbeginners


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