Udemy - Pandas Python Programming Language Library From Scratch A-Z

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Udemy - Pandas Python Programming Language Library From Scratch A-ZUdemy - Pandas Python Programming Language Library From Scratch A-Z

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Udemy - Pandas Python Programming Language Library From Scratch A-Z.torrent
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Description

[ DevCourseWeb.com ] Pandas Python Programming Language Library From Scratch A-Z™



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







Published 10/2022

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 54 lectures (7h 30m) | Size: 2 GB



Pandas mainly used for Python Data Analysis. Learn Pandas for Data Science, Machine Learning, Deep Learning using Python



What you'll learn

Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.

Pandas is mainly used for data analysis and associated manipulation of tabular data in DataFrames.

Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Pandas Pyhon aims to be the fundamental high-level building block for doing practical, real world data analysis in Python

Installing Anaconda Distribution for Windows

Installing Anaconda Distribution for MacOs

Installing Anaconda Distribution for Linux

Introduction to Pandas Library

Creating a Pandas Series with a List

Creating a Pandas Series with a Dictionary

Creating Pandas Series with NumPy Array

Object Types in Series

Examining the Primary Features of the Pandas Series

Most Applied Methods on Pandas Series

Indexing and Slicing Pandas Series

Creating Pandas DataFrame with List

Creating Pandas DataFrame with NumPy Array

Creating Pandas DataFrame with Dictionary

Examining the Properties of Pandas DataFrames

Element Selection Operations in Pandas DataFrames

Top Level Element Selection in Pandas DataFrames: Structure of loc and iloc

Element Selection with Conditional Operations in Pandas Data Frames

Adding Columns to Pandas Data Frames

Removing Rows and Columns from Pandas Data frames

Null Values ​​in Pandas Dataframes

Dropping Null Values: Dropna() Function

Filling Null Values: Fillna() Function

Setting Index in Pandas DataFrames

Multi-Index and Index Hierarchy in Pandas DataFrames

Element Selection in Multi-Indexed DataFrames

Selecting Elements Using the xs() Function in Multi-Indexed DataFrames

Concatenating Pandas Dataframes: Concat Function

Merge Pandas Dataframes: Merge() Function

Joining Pandas Dataframes: Join() Function

Loading a Dataset from the Seaborn Library

Aggregation Functions in Pandas DataFrames

Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes

Advanced Aggregation Functions: Aggregate() Function

Advanced Aggregation Functions: Filter() Function

Advanced Aggregation Functions: Transform() Function

Advanced Aggregation Functions: Apply() Function

Pivot Tables in Pandas Library

Data Entry with Csv and Txt Files

Data Entry with Excel Files

Outputting as an CSV Extension

Outputting as an Excel File



Description

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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. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/1. Installing Anaconda Distribution for Windows.mp4122.6 MB
~Get Your Files Here !/1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/2. Installing Anaconda Distribution for MacOs.mp457.9 MB
~Get Your Files Here !/1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab)/3. Installing Anaconda Distribution for Linux.mp4119.8 MB
~Get Your Files Here !/10. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp435.6 MB
~Get Your Files Here !/10. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp450 MB
~Get Your Files Here !/10. Pivot Tables in Pandas Library/3. quiz.html212 B
~Get Your Files Here !/11. File Operations in Pandas Library/1. Accessing and Making Files Available.mp432.3 MB
~Get Your Files Here !/11. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp459.3 MB
~Get Your Files Here !/11. File Operations in Pandas Library/3. Data Entry with Excel Files.mp419.8 MB
~Get Your Files Here !/11. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp432.8 MB
~Get Your Files Here !/11. File Operations in Pandas Library/5. Outputting as an Excel File.mp418.1 MB
~Get Your Files Here !/11. File Operations in Pandas Library/6. quiz.html212 B
~Get Your Files Here !/12. Extra/1. Pandas Python Programming Language Library From Scratch A-Z™.html266 B
~Get Your Files Here !/2. Pandas Library Introduction/1. Introduction to Pandas Library.mp432.3 MB
~Get Your Files Here !/2. Pandas Library Introduction/2. Pandas Project Files Link.html180 B
~Get Your Files Here !/2. Pandas Library Introduction/3. quiz.html212 B
~Get Your Files Here !/3. Series Structures in the Pandas Library/1. Creating a Pandas Series with a List.mp436.3 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/2. Creating a Pandas Series with a Dictionary.mp416.8 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/3. Creating Pandas Series with NumPy Array.mp411 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/4. Object Types in Series.mp418 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/5. Examining the Primary Features of the Pandas Seri.mp417.4 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp444.1 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/7. Indexing and Slicing Pandas Series.mp426.9 MB
~Get Your Files Here !/3. Series Structures in the Pandas Library/8. quiz.html212 B
~Get Your Files Here !/4. DataFrame Structures in Pandas Library/1. Creating Pandas DataFrame with List.mp421.1 MB
~Get Your Files Here !/4. DataFrame Structures in Pandas Library/2. Creating Pandas DataFrame with NumPy Array.mp411.2 MB
~Get Your Files Here !/4. DataFrame Structures in Pandas Library/3. Creating Pandas DataFrame with Dictionary.mp414.7 MB
~Get Your Files Here !/4. DataFrame Structures in Pandas Library/4. Examining the Properties of Pandas DataFrames.mp423.9 MB
~Get Your Files Here !/4. DataFrame Structures in Pandas Library/5. quiz.html212 B
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp427.4 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp429.4 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp435.5 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp429 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp420.5 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp442.5 MB
~Get Your Files Here !/5. Element Selection Operations in DataFrame Structures/7. quiz.html212 B
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp431.1 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp414.4 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp462.4 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp431.8 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp447.9 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp436.4 MB
~Get Your Files Here !/6. Structural Operations on Pandas DataFrame/7. quiz.html212 B
~Get Your Files Here !/7. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp439.5 MB
~Get Your Files Here !/7. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp422.4 MB
~Get Your Files Here !/7. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp428.2 MB
~Get Your Files Here !/7. Multi-Indexed DataFrame Structures/4. quiz.html212 B
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp458 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp451.3 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp427.4 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp453.8 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp437.5 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp451.9 MB
~Get Your Files Here !/8. Structural Concatenation Operations in Pandas DataFrame/7. quiz.html212 B
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp435 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/10. quiz.html212 B
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp439.2 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp483.6 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp442.6 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp480.9 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp426.9 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp423 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp443.7 MB
~Get Your Files Here !/9. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp438.3 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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