# Why Python Is Used In The Data Field?

> Source: <https://dev.to/raymond_anyanzwa/why-python-is-used-in-the-data-field-jbj>
> Published: 2026-09-03 15:47:14+00:00

##
Introduction

The first line of code I wrote in python was

`print("Hello world")`

This would lead me to discovering that python is used to do numerus tasks that aid people in the data field to do the following:

- create data pipelines
- design machine learning models
- create dashboard

##
Why do people in the data space choose python

- Python has simple syntax which reads like plain English.
- Python has powerful libraries like pandas, numpy, matplotlib and py torch which helps in data manipulation and machine learning.
- Python has a massive community that allows meaningful quick answers to be accessed by data workers.

##
Lets learn python

variables are a labeled box where you store a piece of information

Python has 4 types of data types

- String
name = "Ray" - Ray is the string that is stored in the variable called name.
- Integer
age = 19 - 19 is the integer that is stored in the variable called age.
- Float
height = 190.8 - 190.8 is the float that is stored in the variable called height.
- Bool
is_active = True - True is the boolean state that is stored in the variable called is_active.

Python has 4 operators

- Comaprisson operator - compares two values and gives you true or false

- Logic operators - includes and, or , not
and - true if both conditions are true
or - true if one condition is true
not - turns true to false

- if, elif, else

- Nested if

##
Conclusion

If you are new to data, Python is the best place to begin because python

takes a short time to code and also informs you where there is a mistake.