Udemy - Pandas The Ultimate Guide On Python Pandas For Data Science

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Udemy - Pandas The ultimate guide on python pandas for data scienceUdemy - Pandas The ultimate guide on python pandas for data science

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Udemy - Pandas The ultimate guide on python pandas for data science.torrent
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0f1c489817dd32e02000ff8b802b9066cc780f64
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1.9 GB in 30 files
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Uploaded on 07-03-2022 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] Pandas The ultimate guide on python pandas for data science



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz

Language: English | Size: 1.87 GB | Duration: 4h 27m



Python pandas for data analytics: Complete reference to python pandas for data analytics, python pandas data structures



What you'll learn

What python pandas library and its usage in storing data required for data analytics

Python pandas data structures: Series, DataFrame and Panel

How to create Series, DataFrame and Panel types of data structures

How to access data from Series, DataFrame and Panel data structures

What types of operations can be performed on pandas data structures



Requirements

For better understanding of the topic student should know python programming and Numpy library

Description

Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction/1. Introduction to pandas.mp415.3 MB
~Get Your Files Here !/1. Introduction/2. Pandas installation.mp44.1 MB
~Get Your Files Here !/1. Introduction/2.1 Pandas.py500.2 KB
~Get Your Files Here !/1. Introduction/2.2 Python Pandas Notes.pdf857 KB
~Get Your Files Here !/10. Database operations/1. Merging or joining.mp460.1 MB
~Get Your Files Here !/10. Database operations/2. Concatenation.mp451.7 MB
~Get Your Files Here !/11. Date data handling/1. Date functionality.mp449.7 MB
~Get Your Files Here !/11. Date data handling/2. Timedelta.mp445.1 MB
~Get Your Files Here !/12. Categorical data handling/1. Categorical data.mp493.7 MB
~Get Your Files Here !/13. Data visualization and IO operations/1. Data visualization.mp453.1 MB
~Get Your Files Here !/13. Data visualization and IO operations/2. IO tools.mp449.9 MB
~Get Your Files Here !/13. Data visualization and IO operations/3. Comparision with SQL.mp472.8 MB
~Get Your Files Here !/2. Types of pandas data structures/1. Pandas data structures.mp454.1 MB
~Get Your Files Here !/2. Types of pandas data structures/2. Pandas series.mp4122.4 MB
~Get Your Files Here !/2. Types of pandas data structures/3. Pandas DataFrame.mp4207.3 MB
~Get Your Files Here !/3. Functionality of pandas/1. Basic functionality.mp4123.1 MB
~Get Your Files Here !/3. Functionality of pandas/2. Descriptive statistics.mp480.6 MB
~Get Your Files Here !/3. Functionality of pandas/3. Function application.mp462.9 MB
~Get Your Files Here !/4. Indexing and reindexing/1. Reindexing.mp475.3 MB
~Get Your Files Here !/4. Indexing and reindexing/2. Iteration.mp475.3 MB
~Get Your Files Here !/5. Working with data in pandas/1. Sorting data in pandas.mp458.5 MB
~Get Your Files Here !/5. Working with data in pandas/2. Operations on text data.mp484 MB
~Get Your Files Here !/5. Working with data in pandas/3. Options and customizations.mp451.1 MB
~Get Your Files Here !/6. Advanced indexing/1. Indexing and selecting data.mp497.4 MB
~Get Your Files Here !/7. Functions on pandas/1. Statistical functions.mp455.1 MB
~Get Your Files Here !/7. Functions on pandas/2. Window functions.mp442.8 MB
~Get Your Files Here !/7. Functions on pandas/3. Aggregation functions.mp454.3 MB
~Get Your Files Here !/8. Handling missing data/1. Missing data.mp474.2 MB
~Get Your Files Here !/9. Groupby function/1. Groupby.mp4109.4 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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