From 2b570737cb1705f1ccce3553401249b48c424562 Mon Sep 17 00:00:00 2001 From: manimeun <m.heu1995@gmail.com> Date: Wed, 13 Oct 2021 14:45:16 +0200 Subject: [PATCH] Improve tutorial01 files --- Assignment01_nb.ipynb | 30 +++++++++++++++++++++++------- Pandas_intro.ipynb | 4 ++-- Python_numpy_intro.ipynb | 7 +++---- 3 files changed, 28 insertions(+), 13 deletions(-) diff --git a/Assignment01_nb.ipynb b/Assignment01_nb.ipynb index 89bb6d2..0ddea64 100644 --- a/Assignment01_nb.ipynb +++ b/Assignment01_nb.ipynb @@ -7,9 +7,21 @@ "tags": [] }, "source": [ - "# Assignment Sheet 1 " + "# ML4DS - Notebook for Assignment 1" ] }, + { + "cell_type": "markdown", + "source": [ + "Author: Manuel Heurich\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, { "cell_type": "markdown", "id": "2dbfe254-4f29-4fbe-a465-3cd86ac7dfb4", @@ -59,15 +71,19 @@ }, { "cell_type": "code", - "execution_count": null, "id": "d17d2f78-21fe-495f-8501-c6dc7d5bdec0", - "metadata": {}, - "outputs": [], + "metadata": { + "pycharm": { + "name": "#%% code\n" + } + }, "source": [ "# Take the first 8 rows of the dataframe\n", "small_df = df.head(8)\n", "small_df" - ] + ], + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -229,9 +245,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.9" + "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 -} +} \ No newline at end of file diff --git a/Pandas_intro.ipynb b/Pandas_intro.ipynb index 5685f49..b0041a5 100644 --- a/Pandas_intro.ipynb +++ b/Pandas_intro.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Data Mining I - Tutorial 2\n", + "# ML4DS - Pandas Intro\n", "\n", "In this second tutorial we will have a look at the pandas library and how to use it to get to know your data. Again, this tutorial only covers a few basics and is far from complete. You can find more detailed tutorials\n", "[here](https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html). There is also a nice \n", @@ -2773,4 +2773,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/Python_numpy_intro.ipynb b/Python_numpy_intro.ipynb index 7f3fa38..868b380 100644 --- a/Python_numpy_intro.ipynb +++ b/Python_numpy_intro.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Data Mining I - Tutorial 1\n", + "# ML4DS - Python & Numpy Intro\n", "\n", "In this first tutorial we will cover some python and numpy basics, as well as a short introduction of the Iris dataset.\n", "\n", @@ -2471,8 +2471,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Next week\n", - "We will cover more data loading, selection, manipulation, exploration and visualization next week." + "Feel free to take a look at the other notebook introducing the Pandas library." ] } ], @@ -2497,4 +2496,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file -- GitLab