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

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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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File list
  • Udemy - Pandas The ultimate guide on python pandas for data science
  • ~Get Your Files Here !/1. Introduction/1. Introduction to pandas.mp4 15.3 MB
  • ~Get Your Files Here !/1. Introduction/2. Pandas installation.mp4 4.1 MB
  • ~Get Your Files Here !/1. Introduction/2.1 Pandas.py 500.2 KB
  • ~Get Your Files Here !/1. Introduction/2.2 Python Pandas Notes.pdf 857 KB
  • ~Get Your Files Here !/10. Database operations/1. Merging or joining.mp4 60.1 MB
  • ~Get Your Files Here !/10. Database operations/2. Concatenation.mp4 51.7 MB
  • ~Get Your Files Here !/11. Date data handling/1. Date functionality.mp4 49.7 MB
  • ~Get Your Files Here !/11. Date data handling/2. Timedelta.mp4 45.1 MB
  • ~Get Your Files Here !/12. Categorical data handling/1. Categorical data.mp4 93.7 MB
  • ~Get Your Files Here !/13. Data visualization and IO operations/1. Data visualization.mp4 53.1 MB
  • ~Get Your Files Here !/13. Data visualization and IO operations/2. IO tools.mp4 49.9 MB
  • ~Get Your Files Here !/13. Data visualization and IO operations/3. Comparision with SQL.mp4 72.8 MB
  • ~Get Your Files Here !/2. Types of pandas data structures/1. Pandas data structures.mp4 54.1 MB
  • ~Get Your Files Here !/2. Types of pandas data structures/2. Pandas series.mp4 122.4 MB
  • ~Get Your Files Here !/2. Types of pandas data structures/3. Pandas DataFrame.mp4 207.3 MB
  • ~Get Your Files Here !/3. Functionality of pandas/1. Basic functionality.mp4 123.1 MB
  • ~Get Your Files Here !/3. Functionality of pandas/2. Descriptive statistics.mp4 80.6 MB
  • ~Get Your Files Here !/3. Functionality of pandas/3. Function application.mp4 62.9 MB
  • ~Get Your Files Here !/4. Indexing and reindexing/1. Reindexing.mp4 75.3 MB
  • ~Get Your Files Here !/4. Indexing and reindexing/2. Iteration.mp4 75.3 MB
  • ~Get Your Files Here !/5. Working with data in pandas/1. Sorting data in pandas.mp4 58.5 MB
  • ~Get Your Files Here !/5. Working with data in pandas/2. Operations on text data.mp4 84 MB
  • ~Get Your Files Here !/5. Working with data in pandas/3. Options and customizations.mp4 51.1 MB
  • ~Get Your Files Here !/6. Advanced indexing/1. Indexing and selecting data.mp4 97.4 MB
  • ~Get Your Files Here !/7. Functions on pandas/1. Statistical functions.mp4 55.1 MB
  • ~Get Your Files Here !/7. Functions on pandas/2. Window functions.mp4 42.8 MB
  • ~Get Your Files Here !/7. Functions on pandas/3. Aggregation functions.mp4 54.3 MB
  • ~Get Your Files Here !/8. Handling missing data/1. Missing data.mp4 74.2 MB
  • ~Get Your Files Here !/9. Groupby function/1. Groupby.mp4 109.4 MB
  • ~Get Your Files Here !/Bonus Resources.txt 386 B

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