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 science (Size: 1.9 GB)
  1. Basic functionality.mp4 123.1 MB
  1. Categorical data.mp4 93.7 MB
  1. Data visualization.mp4 53.1 MB
  1. Date functionality.mp4 49.7 MB
  1. Groupby.mp4 109.4 MB
  1. Indexing and selecting data.mp4 97.4 MB
  1. Introduction to pandas.mp4 15.3 MB
  1. Merging or joining.mp4 60.1 MB
  1. Missing data.mp4 74.2 MB
  1. Pandas data structures.mp4 54.1 MB
  1. Reindexing.mp4 75.3 MB
  1. Sorting data in pandas.mp4 58.5 MB
  1. Statistical functions.mp4 55.1 MB
  2. Concatenation.mp4 51.7 MB
  2. Descriptive statistics.mp4 80.6 MB
  2. IO tools.mp4 49.9 MB
  2. Iteration.mp4 75.3 MB
  2. Operations on text data.mp4 84 MB
  2. Pandas installation.mp4 4.1 MB
  2. Pandas series.mp4 122.4 MB
  2. Timedelta.mp4 45.1 MB
  2. Window functions.mp4 42.8 MB
  2.1 Pandas.py 500.2 KB
  2.2 Python Pandas Notes.pdf 857 KB
  3. Aggregation functions.mp4 54.3 MB
  3. Comparision with SQL.mp4 72.8 MB
  3. Function application.mp4 62.9 MB
  3. Options and customizations.mp4 51.1 MB
  3. Pandas DataFrame.mp4 207.3 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 31 total files

Description


Pandas The ultimate guide on python pandas for data science
https://DevCourseWeb.com

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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