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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:

  1. Python
  2. R
  3. SQL
  4. Julia
  5. Scala

Some of the commonly used libraries used by Data Scientists include:

  1. Pandas
  2. Numpy
  3. Scikit-learn
  4. TensorFlow
  5. Matplotlib
Data Science Tools
Jupyter Notebook
RStudio
VS Code

Below are a few examples of evaluating arithmetic expressions in Python

# This is a simple arithmetic expression to multiply then add integers
(3 * 4) + 5
17

# This will convert 200 minutes to hours by dividing by 60

200 / 60
3.3333333333333335

Objectives:

  • List popular languages for Data Science
  • Identify common Data Science libraries
  • Understand key Data Science tools
  • Perform basic arithmetic operations in Python
  • Convert time units using python expressions

Author

Olan-George Faith