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Python | Python Projects & Quizzes for Python Data Science

Python | Python Projects & Quizzes for Python Data Science

 Python | Python Projects & Quizzes for Python Data Science

Python | Python Programming Language with hands-on Python projects & quizzes, Python for Data Science & Machine Learning


Sure! Here’s an article on Python Projects & Quizzes for Python Data Science that you might find helpful 1. It contains a list of frequently asked questions about data science projects in python and how to start a Data Science project in Python. The list mentioned in the article is a good starting point.


What you'll learn

  • Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.
  • Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
  • Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills
  • Its simple syntax and readability makes Python perfect for Flask, Django, data science, and machine learning.
  • 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
  • Asking Questions to Sets with Methods
  • Comparison OperatorsIntersection & Union Methods In Sets
  • 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
  • sum() Function
  • max(), min() Functions
  • round() Function
  • Lambda Function
  • Local and Global Variables
  • Features of Class
  • Instantiation of Class
  • Attribute of Instantiation
  • Write Function in the Class
  • Inheritance Structure
  • If you are new to Python, data science or have no idea about what data scientist does no problem, you will learn anything you need to start to Python data scien
  • If you are a software developer or familiar to other programming language and you want to start a new world, you are also in the right place.
  • You will encounter many businesses that use Python and its libraries for data science.
  • In this course you need no previous Knowledge about Python, data science.
  • What does it mean that Python is object-oriented? Python is a multi-paradigm language, which means that it supports many programming approaches.
  • That’s why Udemy features a host of top-rated OOP courses tailored for specific languages, like Java, C#, and Python.
  • Most programmers will choose to learn the object oriented programming paradigm in a specific language.


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