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    Python & Data Science with R | Python & R Programming By Oak Academy

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    Python & Data Science with R | Python & R Programming · Program

    About this program

    Python & Data Science with R | Python & R Programming

    Online Course

    Learning format

    Programming Languages

    Subcategory

    English

    Course language

    $49.99

    Price

    Price may change · updated within 1–2 weeks

    Official program page

    What you'll learn in Python & Data Science with R | Python & R Programming

    • Installing Anaconda Distribution for Windows
    • Installing Anaconda Distribution for MacOs
    • Installing Anaconda Distribution for Linux
    • Reviewing The Jupyter Notebook
    • Reviewing The Jupyter Lab
    • Python Introduction
    • First Step to Coding
    • Using Quotation Marks in Python Coding
    • How Should the Coding Form and Style Be (Pep8)
    • Introduction to Basic Data Structures in Python
    • Performing Assignment to Variables
    • Performing Complex Assignment to Variables
    • Type Conversion
    • Arithmetic Operations in Python
    • Examining the Print Function in Depth
    • Escape Sequence Operations
    • Boolean Logic Expressions
    • Order Of Operations In Boolean Operators
    • Practice with Python
    • Examining Strings Specifically
    • Accessing Length Information (Len Method)
    • Search Method In Strings Startswith(), Endswith()
    • Character Change Method In Strings Replace()
    • Spelling Substitution Methods in String
    • Character Clipping Methods in String
    • Indexing and Slicing Character String
    • Complex Indexing and Slicing Operations
    • String Formatting with Arithmetic Operations
    • String Formatting With % Operator
    • String Formatting With String Format Method
    • String Formatting With f-string
    • Method Creation of List
    • Reaching List Elements – Indexing and Slicing
    • Adding & Modifying & Deleting Elements of List
    • Adding and Deleting by Methods
    • Adding and Deleting by Index
    • Other List Methods
    • Creation of Tuple
    • Reaching Tuple Elements Indexing And Slicing
    • Creation of Dictionary
    • Reaching Dictionary Elements
    • Adding & Changing & Deleting Elements in Dictionary
    • Dictionary Methods
    • Creation of Set
    • Adding & Removing Elements Methods in Sets
    • Difference Operation Methods In Sets
    • Intersection & Union Methods In Sets
    • Asking Questions to Sets with Methods
    • Comparison Operators
    • Structure of “if” Statements
    • Structure of “if-else” Statements
    • Structure of “if-elif-else” Statements
    • Structure of Nested “if-elif-else” Statements
    • Coordinated Programming with “IF” and “INPUT”
    • Ternary Condition
    • For Loop in Python
    • For Loop in Python(Reinforcing the Topic)
    • Using Conditional Expressions and For Loop Together
    • Continue Command
    • Break Command
    • List Comprehension
    • While Loop in Python
    • While Loops in Python Reinforcing the Topic
    • Getting know to the Functions
    • How to Write Function
    • Return Expression in Functions
    • Writing Functions with Multiple Argument
    • Writing Docstring in Functions
    • Using Functions and Conditional Expressions Together
    • Arguments and Parameters
    • High Level Operations with Arguments
    • all(), any() Functions
    • map() Function
    • filter() Function
    • zip() Function
    • enumerate() Function
    • max(), min() Functions
    • sum() Function
    • round() Function
    • Lambda Function
    • Local and Global Variables
    • Features of Class
    • Instantiation of Class
    • Attribute of Instantiation
    • Write Function in the Class
    • Inheritance Structure

    What's Included in Python & Data Science with R | Python & R Programming

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