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Udemy - Pandas And NumPy Python Programming Language Libraries A-Z
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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
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FILE LIST
Filename
Size
~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
