Python for you

Day 30. Data Correlation

In Python, data correlation refers to the statistical relationship between two or more variables. The correlation coefficient is a measure that quantifies this relationship. It indicates whether and how strongly two variables are related.
Take a look at the example below.

Day 29. Data Cleaning

Data cleaning is a crucial step in the data preprocessing pipeline, ensuring that the data is accurate, consistent, and ready for analysis. Remember that data cleaning steps can vary based on the nature of your data and the specific issues you encounter.

Day 28. Combining Conditions & Viewing the Data

Combining conditions and viewing data is a fundamental part of data analysis and manipulation in Python, especially when working with libraries like pandas. Take a look on how it works.

Day 27. Read CSV File

The topic of reading CSV (Comma-Separated Values) files is essential in programming and data analysis, as CSV is a widely used format for storing structured data in a plain text file. The ability to read CSV files is crucial for extracting, analyzing, and manipulating data in various applications.

Day 26. Dataframes

Day 25. Pandas

Day 24. Lambda Functions

Day 23. Own Functions

Day 22. Built - in Functions

Day 21. Absolute Value

Day. 20 Min/Max Element

Day 19. For Loop

Day 18. While Loop

Day 17. Dictionary

Day 16. Tuple

Day 15. List

Day 14. If/Else Conditions

Day 13. Combining Conditions

In Combining Conditions, we can use the three logical operators if we want to join two or more conditions in one if statement. Take a look at the example below.

Day 12. Booleans

Day 11. Referring Elements

Today's topic is about the elements that stored within the data structures like Lists, Tuples, Sets, and Dictionary.

Day 10. Strings

In today's topic, we will know how to create a string and the different usage of string in Python. We have here String Concatenation and String Formatting.

Day 9. Complex Numbers

Day 8. Real Numbers

Day 7. Integers

Day 6. Variables

In today's topic, you will know some informations about variables that we use in Python.

Day 5. Integer and Remainder part of Division

Day 4. Division

Today's topic is about Division. Here is the example on how to perform division in Python.

Day 3. Multiplication

We all know that Multiplication is a process of calculating the product of two or more numbers. But in Python, we also use Multiplication not only in numbers, but also in lists and strings. Let's take a look at how this works.

Day 2. Addition and Subtraction

Today's topic is about addition and subtraction operation that we use in Python.

Day 1. Print & Comment

Here are some informations about Comment and Print function in Python.