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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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    تاریخ انتشار: ۴ تیر ۱۴۰۲
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