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Using Modules | Functions and Modules
Introduction to Data Analysis in Python
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Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
2. Data Types
3. Control Flow
4. Functions and Modules
5. Introduction to NumPy

Using Modules

Libraries that you will use provide creating objects of new types with new properties, methods, attributes. Each library has specific documentation with explanations on methods/attrbites/classes provided. Let's remind what methods and objects are.

A method is a function that 'belongs to' an object.

An object is simply a collection of data (variables) and methods (functions) that act on those data.

Some libraries may also export constants - values that don't change during a program's execution. For example,

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# Importing library from datetime import date # Create new 'date' object d = date(2022, 10, 10) # Applying method to object print(d.isoformat()) # Object attribute print(d.month) # Library constant print(datetime.UTC)
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