Udemy - 500 Exercises To Master Python Pandas

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Udemy - 500 Exercises To Master Python PandasUdemy - 500 Exercises To Master Python Pandas

NAME
Udemy - 500 Exercises To Master Python Pandas.torrent
CATEGORY
Other
INFOHASH
e270567d1db93a935150bc5a8e43b9c51a31dacd
SIZE
3.2 GB in 48 files
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Uploaded on 06-07-2023 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] 500 Exercises To Master Python Pandas



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Published 6/2023

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

Language: English | Size: 3.19 GB | Duration: 7h 57m



Learn Python Pandas by solving exercises on data cleaning, data analysis, data filtering, and more.



What you'll learn

Perform data cleaning and manipulation tasks with Pandas

Analyze data and extract insights using Pandas

Reshape and manipulate Pandas data structures

Learn Python basics



Requirements

Basic experience with the Python programming language

Basic knowledge of data types (strings, integers, floating points, booleans)

Basic knowledge of Python built-in data structures (list, tuple, dictionary)



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp432.7 MB
~Get Your Files Here !/1 - Introduction/2 - Course structure and installation.mp419.9 MB
~Get Your Files Here !/1 - Introduction/2 - Lecture notebook.txt135 B
~Get Your Files Here !/1 - Introduction/3 - Lecture notebook.txt110 B
~Get Your Files Here !/1 - Introduction/3 - Reading data.mp468.3 MB
~Get Your Files Here !/1 - Introduction/4 - Exploring a DataFrame.mp443.4 MB
~Get Your Files Here !/1 - Introduction/4 - Lecture notebook.txt121 B
~Get Your Files Here !/2 - Data exploration and manipulation/5 - Data types.mp487.8 MB
~Get Your Files Here !/2 - Data exploration and manipulation/5 - Lecture notebook.txt108 B
~Get Your Files Here !/2 - Data exploration and manipulation/6 - Column operations.mp4236.6 MB
~Get Your Files Here !/2 - Data exploration and manipulation/6 - Lecture notebook.txt116 B
~Get Your Files Here !/2 - Data exploration and manipulation/7 - Date manipulation.mp4181.9 MB
~Get Your Files Here !/2 - Data exploration and manipulation/7 - Lecture notebook.txt115 B
~Get Your Files Here !/2 - Data exploration and manipulation/8 - Lecture notebook.txt117 B
~Get Your Files Here !/2 - Data exploration and manipulation/8 - String manipulation.mp4154.9 MB
~Get Your Files Here !/2 - Data exploration and manipulation/9 - Categorical data.mp474.1 MB
~Get Your Files Here !/2 - Data exploration and manipulation/9 - Lecture notebook.txt114 B
~Get Your Files Here !/3 - Data filtering/10 - Lecture notebook.txt112 B
~Get Your Files Here !/3 - Data filtering/10 - Missing values.mp4144.8 MB
~Get Your Files Here !/3 - Data filtering/11 - Lecture notebook.txt122 B
~Get Your Files Here !/3 - Data filtering/11 - loc and iloc methods.mp4146.7 MB
~Get Your Files Here !/3 - Data filtering/12 - Filtering DataFrames.mp4240.7 MB
~Get Your Files Here !/3 - Data filtering/12 - Lecture notebook.txt118 B
~Get Your Files Here !/4 - Combining DataFrames/13 - Combining DataFrames.mp4120.4 MB
~Get Your Files Here !/4 - Combining DataFrames/13 - Lecture notebook.txt118 B
~Get Your Files Here !/4 - Combining DataFrames/14 - Lecture notebook.txt116 B
~Get Your Files Here !/4 - Combining DataFrames/14 - Merging DataFrames.mp4348.6 MB
~Get Your Files Here !/4 - Combining DataFrames/15 - Lecture notebook.txt118 B
~Get Your Files Here !/4 - Combining DataFrames/15 - Reshaping DataFrames.mp4101.5 MB
~Get Your Files Here !/5 - Data analysis and visualization/16 - Data analysis.mp4246.9 MB
~Get Your Files Here !/5 - Data analysis and visualization/16 - Lecture notebook.txt111 B
~Get Your Files Here !/5 - Data analysis and visualization/17 - Data visualization.mp489.8 MB
~Get Your Files Here !/5 - Data analysis and visualization/17 - Lecture notebook.txt116 B
~Get Your Files Here !/5 - Data analysis and visualization/18 - Lecture notebook.txt136 B
~Get Your Files Here !/5 - Data analysis and visualization/18 - Time series analysis with Pandas.mp4156.4 MB
~Get Your Files Here !/6 - Use cases/19 - Data cleaning and analysis 1 obesity dataset.mp4306.5 MB
~Get Your Files Here !/6 - Use cases/19 - Lecture notebook.txt154 B
~Get Your Files Here !/6 - Use cases/20 - Data cleaning and analysis 2 customer churn dataset.mp4165.4 MB
~Get Your Files Here !/6 - Use cases/20 - Lecture notebook.txt163 B
~Get Your Files Here !/7 - More learnings/21 - Lecture notebook.txt133 B
~Get Your Files Here !/7 - More learnings/21 - Python dictionaries with Pandas.mp477.9 MB
~Get Your Files Here !/7 - More learnings/22 - Lecture notebook.txt114 B
~Get Your Files Here !/7 - More learnings/22 - Pandas pipelines.mp472 MB
~Get Your Files Here !/7 - More learnings/23 - Lecture notebook.txt116 B
~Get Your Files Here !/7 - More learnings/23 - Styling DataFrames.mp479.7 MB
~Get Your Files Here !/7 - More learnings/24 - Functions not to forget.mp471.1 MB
~Get Your Files Here !/7 - More learnings/24 - Lecture notebook.txt125 B
~Get Your Files Here !/Bonus Resources.txt386 B

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