Python- Numpy & Pandas Python Programming Language Libraries

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Python | Numpy & Pandas for Python Data Analysis, Data Science, Machine Learning from A-Z with python projects & quizzes

1. Installations

1. Installing Anaconda Distribution for Windows

2. Installing Anaconda Distribution for MacOs

3. Installing Anaconda Distribution for Linux

4. Reviewing The Jupyter Notebook

5. Reviewing The Jupyter Lab

2. First Step to Coding

1. Python Introduction

2. Project Files.html

3. First Step to Coding

4. FAQ regarding Python.html

5. Using Quotation Marks in Python Coding

6. How Should the Coding Form and Style Be (Pep8)

7. Quiz.html

3. Basic Operations with Python

1. Introduction to Basic Data Structures in Python

2. Performing Assignment to Variables

3. Performing Complex Assignment to Variables

4. Type Conversion

5. Arithmetic Operations in Python

6. Examining the Print Function in Depth

7. Escape Sequence Operations

8. Quiz.html

4. Boolean Data Type in Python Programming Language

1. Boolean Logic Expressions

2. Order Of Operations In Boolean Operators

3. Practice with Python

4. Quiz.html

5. String Data Type in Python Programming Language

1. Examining Strings Specifically

2. Accessing Length Information (Len Method)

3. Search Method In Strings Startswith(), Endswith()

4. Character Change Method In Strings Replace()

5. Spelling Substitution Methods in String

6. Character Clipping Methods in String

7. Indexing and Slicing Character String

8. Complex Indexing and Slicing Operations

9. String Formatting with Arithmetic Operations

10. String Formatting With % Operator

11. String Formatting With String.Format Method

12. String Formatting With f-string Method

13. Quiz.html

6. List Data Structure in Python Programming Language

1. Creation of List

2. Reaching List Elements Indexing and Slicing

3. Adding & Modifying & Deleting Elements of List

4. Adding and Deleting by Methods

5. Adding and Deleting by Index

6. Other List Methods

7. Quiz.html

7. Tuple Data Structure in Python Programming Language

1. Creation of Tuple

2. Reaching Tuple Elements Indexing And Slicing

3. Quiz.html

8. Dictionary Data Structure in Python Programming Language

1. Creation of Dictionary

2. Reaching Dictionary Elements

3. Adding & Changing & Deleting Elements in Dictionary

4. Dictionary Methods

5. Quiz.html

9. Set Data Structure in Python Programming Language

1. Creation of Set

2. Adding & Removing Elements Methods in Sets

3. Difference Operation Methods In Sets

4. Intersection & Union Methods In Sets

5. Asking Questions to Sets with Methods

6. Quiz.html

10. Conditional Expressions in Python Programming Language

1. Comparison Operators

2. Structure of if Statements

3. Structure of if-else Statements

4. Structure of if-elif-else Statements

5. Structure of Nested if-elif-else Statements

6. Coordinated Programming with IF and INPUT

7. Ternary Condition

8. Quiz.html

11. For Loop in Python Programming Language

1. For Loop in Python

2. For Loop in Python(Reinforcing the Topic)

3. Using Conditional Expressions and For Loop Together

4. Continue Command

5. Break Command

6. List Comprehension

7. Quiz.html

12. While Loop in Python Programming Language

1. While Loop in Python

2. While Loops in Python Reinforcing the Topic

3. Quiz.html

13. Functions in Python Programming Language

1. Getting know to the Functions

2. How to Write Function

3. Return Expression in Functions

4. Writing Functions with Multiple Argument

5. Writing Docstring in Functions

6. Using Functions and Conditional Expressions Together

7. Quiz.html

14. Arguments And Parameters in Python Programming Language

1. Arguments and Parameters

2. High Level Operations with Arguments

3. Quiz.html

15. Most Used Functions in Python Programming Language

1. all(), any() Functions

2. map() Function

3. filter() Function

4. zip() Function

5. enumerate() Function

6. max(), min() Functions

7. sum() Function

8. round() Function

9. Lambda Function

10. Quiz.html

16. Class Structure in Python Programming Language

1. Local and Global Variables

2. Features of Class

3. Instantiation of Class

4. Attribute of Instantiation

5. Write Function in the Class

6. Inheritance Structure

17. NumPy Library Introduction

1. Introduction to NumPy Library

2. Project Files Link.html

3. The Power of NumPy

4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html

5. Quiz.html

18. Creating NumPy Array in Python

1. Creating NumPy Array with The Array() Function

2. Creating NumPy Array with Zeros() Function

3. Creating NumPy Array with Ones() Function

4. Creating NumPy Array with Full() Function

5. Creating NumPy Array with Arange() Function

6. Creating NumPy Array with Eye() Function

7. Creating NumPy Array with Linspace() Function

8. Creating NumPy Array with Random() Function

9. Properties of NumPy Array

10. Quiz.html

19. Functions in the NumPy Library

1. Reshaping a NumPy Array Reshape() Function

2. Identifying the Largest Element of a Numpy Array

3. Detecting Least Element of Numpy Array Min(), Ar

4. Concatenating Numpy Arrays Concatenate() Functio

5. Splitting One-Dimensional Numpy Arrays The Split

6. Splitting Two-Dimensional Numpy Arrays Split(),

7. Sorting Numpy Arrays Sort() Function

8. Qui.html

20. Indexing, Slicing, and Assigning NumPy Arrays

1. Indexing Numpy Arrays

2. Slicing One-Dimensional Numpy Arrays

3. Slicing Two-Dimensional Numpy Arrays

4. Assigning Value to One-Dimensional Arrays

5. Assigning Value to Two-Dimensional Array

6. Fancy Indexing of One-Dimensional Arrrays

7. Fancy Indexing of Two-Dimensional Arrrays

8. Combining Fancy Index with Normal Indexing

9. Combining Fancy Index with Normal Slicing

21. Operations in Numpy Library

1. Operations with Comparison Operators

2. Arithmetic Operations in Numpy

3. Statistical Operations in Numpy

4. Solving Second-Degree Equations with NumPy

22. Pandas Library Introduction

1. Introduction to Pandas Library

2. Pandas Project Files Link.html

3. Quiz.html

23. Series Structures in the Pandas Library

1. Creating a Pandas Series with a List

2. Creating a Pandas Series with a Dictionary

3. Creating Pandas Series with NumPy Array

4. Object Types in Series

5. Examining the Primary Features of the Pandas Seri

6. Most Applied Methods on Pandas Series

7. Indexing and Slicing Pandas Series

8. Quiz.html

24. DataFrame Structures in Pandas Library

1. Creating Pandas DataFrame with List

2. Creating Pandas DataFrame with NumPy Array

3. Creating Pandas DataFrame with Dictionary

4. Examining the Properties of Pandas DataFrames

5. Quiz.html

25. Element Selection Operations in DataFrame Structures

1. Element Selection Operations in Pandas DataFrames Lesson 1

2. Element Selection Operations in Pandas DataFrames Lesson 2

3. Top Level Element Selection in Pandas DataFramesLesson 1

4. Top Level Element Selection in Pandas DataFramesLesson 2

5. Top Level Element Selection in Pandas DataFramesLesson 3

6. Element Selection with Conditional Operations in

7. Quiz.html

26. Structural Operations on Pandas DataFrame

1. Adding Columns to Pandas Data Frames

2. Removing Rows and Columns from Pandas Data frames

3. Null Values in Pandas Dataframes

4. Dropping Null Values Dropna() Function

5. Filling Null Values Fillna() Function

6. Setting Index in Pandas DataFrames

7. Quiz.html

27. Multi-Indexed DataFrame Structures

1. Multi-Index and Index Hierarchy in Pandas DataFrames

2. Element Selection in Multi-Indexed DataFrames

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

4. Quiz.html

28. Structural Concatenation Operations in Pandas DataFrame

1. Concatenating Pandas Dataframes Concat Function

2. Merge Pandas Dataframes Merge() Function Lesson 1

3. Merge Pandas Dataframes Merge() Function Lesson 2

4. Merge Pandas Dataframes Merge() Function Lesson 3

5. Merge Pandas Dataframes Merge() Function Lesson 4

6. Joining Pandas Dataframes Join() Function

7. Quiz.html

29. Functions That Can Be Applied on a DataFrame

1. Loading a Dataset from the Seaborn Library

2. Examining the Data Set 1

3. Aggregation Functions in Pandas DataFrames

4. Examining the Data Set 2

5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes

6. Advanced Aggregation Functions Aggregate() Function

7. Advanced Aggregation Functions Filter() Function

8. Advanced Aggregation Functions Transform() Function

9. Advanced Aggregation Functions Apply() Function

10. Quiz.html

30. Pivot Tables in Pandas Library

1. Examining the Data Set 3

2. Pivot Tables in Pandas Library

3. Quiz.html

31. File Operations in Pandas Library

1. Accessing and Making Files Available

2. Data Entry with Csv and Txt Files

3. Data Entry with Excel Files

4. Outputting as an CSV Extension

5. Outputting as an Excel File

6. Quiz.html

32. Extra

1. Python- Pandas & Numpy Python Programming Language Libraries.html

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