Data Science Tools and Ecosystem¶
In this notebook, Data Science Tools and Ecosystem are summarized.
Some of the popular languages that Data Scientists use are:
- Python
- R
- Julia
Some of the commonly used libraries used by Data Scientists include:
- Pandas
- NumPy
- Scikit-learn
| Data Science Tools |
|---|
| Jupyter Notebook |
| RStudio |
| Visual Studio Code |
Below are a few examples of evaluating arithmetic expressions in Python.¶
In [3]:
# This is a simple arithmetic expression to multiply then add integers
(3 * 4) + 5
Out[3]:
17
In [4]:
# This will convert 200 minutes to hours by dividing by 60
200 / 60
Out[4]:
3.3333333333333335
Objectives:
- List popular languages for Data Science
- List commonly used data science libraries
- Create and run arithmetic expressions in Python
- Introduce data science tools
- Share notebooks with GitHub
Author¶
Oussama ELHADJI
In [ ]: