From 44648db71f3b913bd2b2559bbcb4a1d4bfb08397 Mon Sep 17 00:00:00 2001 From: ezzeldean Date: Fri, 20 Sep 2024 08:44:37 +0300 Subject: [PATCH] Add files via upload --- Jupyter_Notebook.ipynb | 68 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 Jupyter_Notebook.ipynb diff --git a/Jupyter_Notebook.ipynb b/Jupyter_Notebook.ipynb new file mode 100644 index 0000000..a3a6e8b --- /dev/null +++ b/Jupyter_Notebook.ipynb @@ -0,0 +1,68 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " \"cognitiveclass.ai\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Add your code below following the instructions given in the course\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Science Tools and Ecosystem" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this notebook, Data Science Tools and Ecosystem are summarized." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Objectives**\n", + " \n", + "- List popular languages for Data Science.\n", + "- Identify key libraries used in Data Science.\n", + "- Explain the conversion of time units (e.g., minutes to hours).\n", + "- Describe open-source tools for data science development.\n", + "- Understand basic arithmetic operations in Python." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python", + "language": "python", + "name": "conda-env-python-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}