Common Objects and their data types in Python

 1. List []

  • Modifiable (can change values)

  • Ordered (keeps the order of items)

  • Can store mixed data types

  • Example: [1, 2, 3, a, b, c]

2. Tuple ()

  • Non Modifiable (cannot change values after creation)

  • Ordered

  • Can store mixed data types

  • Example: (1, 2, 3, a, b, c)

3. Dictionary {}

  • Key-value pair

  • Modifiable

  • Unordered

  • Example: {"name": "Kavi", "age": 25}

4. Set {}

  • Modifiable

  • Unordered (no index)

  • Unique elements only

  • Example: {1, 2, 3}

5. String "" or ''

  • Non Modifiable

  • Ordered

  • Example: "Hello", "world"

6. Integer (int)

  • Whole numbers

  • Example: 10

7. Float (float)

  • Decimal numbers

  • Example: 3.14

8. Boolean (bool)

  • True or False

  • Example: True

9. NoneType (None)

  • Represents nothing / null

  • Example: None

Comments

Post a Comment

Popular posts from this blog

What is Artificial Intelligence? What is Machine Learning? What is Data Science? how they are related to each other?

Image
Artificial Intelligence means making Computers think like Human Brain, choosing correct & realistic decisions, answers based on the Current circumstance and importance. Personal Example: Data Science = What is Actually Happening in your Life. Machine Learning = What you are learning and experiencing in your Life. Artificial Intelligence = Taking Correct Decisions based on your Life Experience Another Example: You are AI Engineer & you created a Personal AI Friend using Python. Now, You give all information about your Financial Status, Economic Status, Emotional Status, Social Status, Current Situation in your Life, Current Situation in your Family, Current Situation in your Country etc etc... and your Current problems in an Excel file or SQL Database. Now you are giving this data to your AI tool which you created. 1. It will analyze the information, choose which is important and which is useless based on your current situation. 2. Now, it sends that important Information to Mac...
Read more

Linear Algebra - What is it?

Linear Algebra is a branch of mathematics that deals with vectors , matrices , and linear transformations . It's one of the foundations of data science, machine learning, and computer graphics. In Simple Words : Linear algebra helps us: Solve equations with multiple variables ( variables - a value, number or anything that changes anytime eg, Mark, Temperature, Price ) Represent and transform data using matrices ( Matrix - numbers arranged in rows and columns) Understand how systems behave (like how multiple inputs affect an output) Key Concepts : Scalars – Scalar means Magnitude(Speed). So it is just a single number (e.g., 8 or 6 or 10 etc..) Vectors – Vector means Both Magnitude (Speed) and Direction. So it is a ordered list of numbers (e.g., [2, 3] or [4, 5] or [10, 50] etc..) Matrices – A grid of numbers arranged in rows and Columns  (e.g., a 2x2 matrix or 4x4 matrix) Matrix Multiplication – Combining 2 or more matrices to transform data. Linear Transformation - Multiply...
Read more

What is a Python Library?

When we use Python for data analysis, machine learning, or any programming, we do not write each and every code. Why Should we? Some experts already wrote code for us and packed it as a Library. This reusable collection of code is called a Python Library . A library in Python is like a ready-made toolbox. Instead of building every tool yourself, you take the tools from the toolbox and start using it in your code. Why do we need Python Libraries? Save time – We do not write the same code again and again. Easy to use – Just install, import, and start using. Powerful features – Some libraries can do complex tasks in one line of code. Community support – Big communities maintain them, so they keep improving. Examples of Python Data Science Libraries: Pandas – Works with data tables like Excel, filtering and summarizing data NumPy – Works with numbers, arrays, mathematical calculations Matplotlib – Creates graphs and charts Scikit-learn – For machine learning models like regres...
Read more