{ "cells": [ { "cell_type": "markdown", "id": "eight-coalition", "metadata": {}, "source": [ "# Scientific Python Training" ] }, { "cell_type": "markdown", "id": "sporting-budget", "metadata": {}, "source": [ "---\n", "\n", "- Author: R. Burke Squires\n", "- This presentation is part of the [__Scientific Python Training Series__](https://github.com/burkesquires/scientific_python_training).\n", "\n", "---" ] }, { "cell_type": "markdown", "id": "egyptian-israel", "metadata": {}, "source": [ "## Outline\n", "- Python\n", " - [Why Python](1_python/01_why_python.ipynb)\n", " - [How to run a Python script](1_python/02_how_to_run_python_code.ipynb)\n", " - [Introduction to Python Programming](1_python/03_intro_python_programming_2021.ipynb)\n", "- Pandas - Python Data Analysis\n", " - [Why `numpy`](2_pandas/0-Why-numpy.ipynb)\n", " - [Introduction to `pandas`](2_pandas/1-Introduction-to-pandas.ipynb)\n", " - [Pandas Fundamentals](2_pandas/2-Pandas-Fundamentals.ipynb)\n", " [Data Wrangling with `pandas`](2_pandas/3-Data-Wrangling-with-pandas.ipynb)\n", "- SciPy - Python Scientific Computation\n", "- Scikit-Learn - Python Machine Learning\n", "\n" ] }, { "cell_type": "markdown", "id": "toxic-animal", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "id": "heard-marketing", "metadata": {}, "source": [ "#### Anaconda\n", "\n", "This training assumes you have a recent version of the `Anaconda Personal Edition` installed. \n", "\n", "- If you do not you can find installation instructions here: https://docs.anaconda.com/anaconda/install/\n", "- For information on Getting Started with `Anaconda` please see: https://docs.anaconda.com/anaconda/user-guide/getting-started/\n", "- See the `Anaconda` user interface here: https://docs.anaconda.com/anaconda/navigator/\n", "- Get an overview on `Anaconda` here: https://docs.anaconda.com/anaconda/navigator/overview/\n", "- You can get teh `Anaconda` cheat-sheet here: https://docs.anaconda.com/_downloads/9ee215ff15fde24bf01791d719084950/Anaconda-Starter-Guide.pdf\n", "\n", "If you prefer to the the command line, you can see Getting Started with `conda` here: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html" ] }, { "cell_type": "code", "execution_count": null, "id": "bound-slovakia", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }