Flash cards
Review the key moves
What is the main idea behind Data Science & Python?
Lesson checks
Practice each idea before moving on
Short Mimo-style checks built from this lesson's code, terms, and sequence.
Which statement best captures the main point of this lesson?
Put the learning moves in the order that makes the concept easiest to apply.
Before charting or modeling a dataset, which move should come first?
Python
Python is a programming language widely used by Data Scientists.
Python has in-built mathematical libraries and functions, making it easier to calculate mathematical problems and to perform data analysis.
We will provide practical examples using Python.
To learn more about Python, please visit our Python Tutorial .
Python Libraries
Python has libraries with large collections of mathematical functions and analytical tools.
In this tutorial, we will use the following libraries:
- Pandas - This library is used for structured data operations, like import CSV files, create dataframes, and data preparation
- Numpy - This is a mathematical library. Has a powerful N-dimensional array object, linear algebra, Fourier transform, etc.
- Matplotlib - This library is used for visualization of data.
- SciPy - This library has linear algebra modules
We will use these libraries throughout the tutorial to create examples.