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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.

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

  1. Pandas
  2. Numpy
  3. Matplotlib
  4. ggplot
  5. Tensorflow
Data Science Tools
VS code
Jupiter Notebook
Google Colab
Pycharm
"" This is a simple arithmetic
expression to mutiply then add integers. ""

(3*4)+5
"This will convert 200 minutes to hours by dividing by 60"

minutes = 200
hours = round(minutes/60, ndigits=2)
print(hours)

Objectives:

  • List popular languages for Data Science.

  • popular libraries for Data Science.

  • Open Source Development Environment for Data Science.

    Author

Mbachu Emmanuel

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A detailed exploration of the Data Science ecosystem, covering the essential languages, libraries, and development environments required for machine learning, data analysis, and automated pipelines.

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