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

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

Torrent:	Udemy - Pandas Python Programming Language Library From Scratch A-Z
Description:	Pandas Python Programming Language Library From Scratch A-Z™ 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 Hello there,
Downloads:	38
Category:	Other /Tutorials
Size:	2 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Pandas Python Programming Language Library From Scratch A-Z Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Python Installations (Anaconda Navigator, Jupyter Notebook, Jupyter Lab) 1. Installing Anaconda Distribution for Windows.mp4 (122.6 MB) 2. Installing Anaconda Distribution for MacOs.mp4 (57.9 MB) 3. Installing Anaconda Distribution for Linux.mp4 (119.8 MB) 10. Pivot Tables in Pandas Library 1. Examining the Data Set 3.mp4 (35.6 MB) 2. Pivot Tables in Pandas Library.mp4 (50.0 MB) 3. quiz.html (0.2 KB) 11. File Operations in Pandas Library 1. Accessing and Making Files Available.mp4 (32.3 MB) 2. Data Entry with Csv and Txt Files.mp4 (59.3 MB) 3. Data Entry with Excel Files.mp4 (19.8 MB) 4. Outputting as an CSV Extension.mp4 (32.8 MB) 5. Outputting as an Excel File.mp4 (18.1 MB) 6. quiz.html (0.2 KB) 12. Extra 1. Pandas Python Programming Language Library From Scratch A-Z™.html (0.3 KB) 2. Pandas Library Introduction 1. Introduction to Pandas Library.mp4 (32.3 MB) 2. Pandas Project Files Link.html (0.2 KB) 3. quiz.html (0.2 KB) 3. Series Structures in the Pandas Library 1. Creating a Pandas Series with a List.mp4 (36.3 MB) 2. Creating a Pandas Series with a Dictionary.mp4 (16.8 MB) 3. Creating Pandas Series with NumPy Array.mp4 (11.0 MB) 4. Object Types in Series.mp4 (18.0 MB) 5. Examining the Primary Features of the Pandas Seri.mp4 (17.4 MB) 6. Most Applied Methods on Pandas Series.mp4 (44.1 MB) 7. Indexing and Slicing Pandas Series.mp4 (26.9 MB) 8. quiz.html (0.2 KB) 4. DataFrame Structures in Pandas Library 1. Creating Pandas DataFrame with List.mp4 (21.1 MB) 2. Creating Pandas DataFrame with NumPy Array.mp4 (11.2 MB) 3. Creating Pandas DataFrame with Dictionary.mp4 (14.7 MB) 4. Examining the Properties of Pandas DataFrames.mp4 (23.9 MB) 5. quiz.html (0.2 KB) 5. Element Selection Operations in DataFrame Structures 1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 (27.4 MB) 2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 (29.4 MB) 3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 (35.5 MB) 4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 (29.0 MB) 5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 (20.5 MB) 6. Element Selection with Conditional Operations in.mp4 (42.5 MB) 7. quiz.html (0.2 KB) 6. Structural Operations on Pandas DataFrame 1. Adding Columns to Pandas Data Frames.mp4 (31.1 MB) 2. Removing Rows and Columns from Pandas Data frames.mp4 (14.4 MB) 3. Null Values in Pandas Dataframes.mp4 (62.4 MB) 4. Dropping Null Values Dropna() Function.mp4 (31.8 MB) 5. Filling Null Values Fillna() Function.mp4 (47.9 MB) 6. Setting Index in Pandas DataFrames.mp4 (36.4 MB) 7. quiz.html (0.2 KB) 7. Multi-Indexed DataFrame Structures 1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 (39.5 MB) 2. Element Selection in Multi-Indexed DataFrames.mp4 (22.4 MB) 3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 (28.2 MB) 4. quiz.html (0.2 KB) 8. Structural Concatenation Operations in Pandas DataFrame 1. Concatenating Pandas Dataframes Concat Function.mp4 (58.0 MB) 2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 (51.3 MB) 3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 (27.4 MB) 4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 (53.8 MB) 5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 (37.5 MB) 6. Joining Pandas Dataframes Join() Function.mp4 (51.9 MB) 7. quiz.html (0.2 KB) 9. Functions That Can Be Applied on a DataFrame 1. Loading a Dataset from the Seaborn Library.mp4 (35.0 MB) 10. quiz.html (0.2 KB) 2. Examining the Data Set 1.mp4 (39.2 MB) 3. Aggregation Functions in Pandas DataFrames.mp4 (83.6 MB) 4. Examining the Data Set 2.mp4 (42.6 MB) 5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 (80.9 MB) 6. Advanced Aggregation Functions Aggregate() Function.mp4 (26.9 MB) 7. Advanced Aggregation Functions Filter() Function.mp4 (23.0 MB) 8. Advanced Aggregation Functions Transform() Function.mp4 (43.7 MB) 9. Advanced Aggregation Functions Apply() Function.mp4 (38.3 MB) Bonus Resources.txt (0.4 KB) files
Added:	2022-10-27 15:03:52
Language:	English
Peers:	Seeders : 1 , Leechers : 39
Tags:	Development Data Science Pandas Udemy
Release name:	Udemy - Pandas Python Programming Language Library From Scratch A-Z
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