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Udemy - Pandas and NumPy Python Programming Language Libraries A-Z

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Description
[ DevCourseWeb.com ] Pandas & NumPy Python Programming Language Libraries 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: 87 lectures (10h 56m) | Size: 2.8 GB



NumPy & Python Pandas for Python Data Analysis, Data Science, Machine Learning, Deep Learning using Python from scratch



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

Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.

NumPy aims to provide an array object that is up to 50x faster than traditional Python lists.

NumPy brings the computational power of languages like C and Fortran to Python.

Installing Anaconda Distribution for Windows

Installing Anaconda Distribution for MacOs

Installing Anaconda Distribution for Linux

Introduction to NumPy Library

The Power of NumPy

Creating NumPy Array with The Array() Function

Creating NumPy Array with Zeros() Function

Creating NumPy Array with Ones() Function

Creating NumPy Array with Full() Function

Creating NumPy Array with Arange() Function

Creating NumPy Array with Eye() Function

Creating NumPy Array with Linspace() Function

Creating NumPy Array with Random() Function

Properties of NumPy Array

Reshaping a NumPy Array: Reshape() Function

Identifying the Largest Element of a Numpy Array: Max(), Argmax() Functions

Detecting Least Element of Numpy Array: Min(), Argmin() Functions

Concatenating Numpy Arrays: Concatenate() Function

Splitting One-Dimensional Numpy Arrays: The Split() Function

Splitting Two-Dimensional Numpy Arrays: Split(), Vsplit, Hsplit() Function

Sorting Numpy Arrays: Sort() Function

Indexing Numpy Arrays

Slicing One-Dimensional Numpy Arrays

Slicing Two-Dimensional Numpy Arrays

Assigning Value to One-Dimensional Arrays

Assigning Value to Two-Dimensional Array

Fancy Indexing of One-Dimensional Arrrays

Fancy Indexing of Two-Dimensional Arrrays

Combining Fancy Index with Normal Indexing

Combining Fancy Index with Normal Slicing

Fancy Indexing of One-Dimensional Arrrays

Fancy Indexing of Two-Dimensional Arrrays

Combining Fancy Index with Normal Indexing

Combining Fancy Index with Normal Slicing

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

Basic Knowledge of Python Programming Language

Basic Knowledge of Numpy Library

Basic Knowledge of Mathematics

Watch the course videos completely and in order.

Internet Connection

Any device where you can watch the lesson, such as a mobile phone, computer or tablet.

Determination and patience for learning Pandas Python Programming Language Library.



Description

Hello there,



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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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File list
  • Udemy - Pandas and NumPy Python Programming Language Libraries A-Z
  • ~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 122.6 MB
  • ~Get Your Files Here !/1. Installations/2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html 155 B
  • ~Get Your Files Here !/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 57.9 MB
  • ~Get Your Files Here !/1. Installations/4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html 4.2 KB
  • ~Get Your Files Here !/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 119.8 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 27.5 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 29.4 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 35.5 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 29 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 20.5 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 42.5 MB
  • ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/7. quiz.html 207 B
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp4 31 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp4 14.4 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 62.3 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp4 31.7 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 47.9 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp4 36.4 MB
  • ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/7. quiz.html 207 B
  • ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 39.5 MB
  • ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp4 22.3 MB
  • ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 28.2 MB
  • ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/4. quiz.html 207 B
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 58.1 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 51.3 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 27.4 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 53.8 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 37.4 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 51.9 MB
  • ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/7. quiz.html 207 B
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp4 35 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/10. quiz.html 207 B
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 39.2 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 83.7 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 42.6 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 80.9 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp4 27 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp4 23 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 43.7 MB
  • ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 38.3 MB
  • ~Get Your Files Here !/15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp4 35.6 MB
  • ~Get Your Files Here !/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 50 MB
  • ~Get Your Files Here !/15. Pivot Tables in Pandas Library/3. quiz.html 207 B
  • ~Get Your Files Here !/16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp4 32.2 MB
  • ~Get Your Files Here !/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 59.4 MB
  • ~Get Your Files Here !/16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp4 19.8 MB
  • ~Get Your Files Here !/16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp4 32.8 MB
  • ~Get Your Files Here !/16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 18.1 MB
  • ~Get Your Files Here !/16. File Operations in Pandas Library/6. quiz.html 207 B
  • ~Get Your Files Here !/17. Extra/1. Pandas & NumPy Python Programming Language Libraries A-Z™.html 266 B
  • ~Get Your Files Here !/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 43.4 MB
  • ~Get Your Files Here !/2. NumPy Library Introduction/2. The Power of NumPy.mp4 55.7 MB
  • ~Get Your Files Here !/2. NumPy Library Introduction/3. Quiz.html 207 B
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 27.3 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/10. Quiz.html 207 B
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 22.7 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/3. Creating NumPy Array with Ones() Function.mp4 14.9 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/4. Creating NumPy Array with Full() Function.mp4 10.5 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/5. Creating NumPy Array with Arange() Function.mp4 11.5 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/6. Creating NumPy Array with Eye() Function.mp4 11.8 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/7. Creating NumPy Array with Linspace() Function.mp4 6.9 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 39.9 MB
  • ~Get Your Files Here !/3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp4 20.6 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 24.5 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/2. Identifying the Largest Element of a Numpy Array.mp4 14.3 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/3. Detecting Least Element of Numpy Array Min(), Ar.mp4 9.5 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 35.8 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/5. Splitting One-Dimensional Numpy Arrays The Split.mp4 19.4 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 33.3 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/7. Sorting Numpy Arrays Sort() Function.mp4 15.7 MB
  • ~Get Your Files Here !/4. Functions in the NumPy Library/8. Quiz.html 207 B
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp4 24.7 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp4 20.8 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 31.4 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/4. Assigning Value to One-Dimensional Arrays.mp4 16.9 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 32.5 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/6. Fancy Indexing of One-Dimensional Arrrays.mp4 19 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 42.6 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/8. Combining Fancy Index with Normal Indexing.mp4 11.9 MB
  • ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/9. Combining Fancy Index with Normal Slicing.mp4 15.4 MB
  • ~Get Your Files Here !/6. Operations in Numpy Library/1. Operations with Comparison Operators.mp4 19.9 MB
  • ~Get Your Files Here !/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 67 MB
  • ~Get Your Files Here !/6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 30.2 MB
  • ~Get Your Files Here !/6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp4 22.4 MB
  • ~Get Your Files Here !/7. Pandas Library Introduction/1. Introduction to Pandas Library.mp4 32.3 MB
  • ~Get Your Files Here !/7. Pandas Library Introduction/2. Pandas Project Files Link.html 180 B
  • ~Get Your Files Here !/7. Pandas Library Introduction/3. Quiz.html 207 B
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/1. Creating a Pandas Series with a List.mp4 36.2 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/2. Creating a Pandas Series with a Dictionary.mp4 16.8 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/3. Creating Pandas Series with NumPy Array.mp4 11 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/4. Object Types in Series.mp4 18 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/5. Examining the Primary Features of the Pandas Seri.mp4 17.4 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 44.1 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/7. Indexing and Slicing Pandas Series.mp4 26.9 MB
  • ~Get Your Files Here !/8. Series Structures in the Pandas Library/8. quiz.html 207 B
  • ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/1. Creating Pandas DataFrame with List.mp4 21.1 MB
  • ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/2. Creating Pandas DataFrame with NumPy Array.mp4 11.2 MB
  • ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/3. Creating Pandas DataFrame with Dictionary.mp4 14.7 MB

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