Why Python Is Used In The Data Field?

A developer explains why Python is the preferred language in the data field, citing its simple syntax, powerful libraries such as pandas and PyTorch, and a large supportive community. The post also provides a beginner-friendly introduction to Python basics, including data types and operators.

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.