diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 000000000..5990d9c64 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,11 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file + +version: 2 +updates: + - package-ecosystem: "" # See documentation for possible values + directory: "/" # Location of package manifests + schedule: + interval: "weekly" diff --git a/.github/workflows/sonarqube.yml b/.github/workflows/sonarqube.yml new file mode 100644 index 000000000..4f0ba20a9 --- /dev/null +++ b/.github/workflows/sonarqube.yml @@ -0,0 +1,66 @@ +# This workflow uses actions that are not certified by GitHub. +# They are provided by a third-party and are governed by +# separate terms of service, privacy policy, and support +# documentation. + +# This workflow helps you trigger a SonarQube analysis of your code and populates +# GitHub Code Scanning alerts with the vulnerabilities found. +# (this feature is available starting from SonarQube 9.7, Developer Edition and above) + +# 1. Make sure you add a valid GitHub configuration to your SonarQube (Administration > DevOps platforms > GitHub) + +# 2. Import your project on SonarQube +# * Add your repository as a new project by clicking "Create project" from your homepage. +# +# 3. Select GitHub Actions as your CI and follow the tutorial +# * a. Generate a new token and add it to your GitHub repository's secrets using the name SONAR_TOKEN +# (On SonarQube, click on your avatar on top-right > My account > Security or ask your administrator) +# +# * b. Copy/paste your SonarQube host URL to your GitHub repository's secrets using the name SONAR_HOST_URL +# +# * c. Copy/paste the project Key into the args parameter below +# (You'll find this information in SonarQube by following the tutorial or by clicking on Project Information at the top-right of your project's homepage) + +# Feel free to take a look at our documentation (https://docs.sonarqube.org/latest/analysis/github-integration/) +# or reach out to our community forum if you need some help (https://community.sonarsource.com/c/sq/10) + +name: SonarQube analysis + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + workflow_dispatch: + +permissions: + pull-requests: read # allows SonarQube to decorate PRs with analysis results + +jobs: + Analysis: + runs-on: ubuntu-latest + + steps: + - name: Analyze with SonarQube + + # You can pin the exact commit or the version. + # uses: SonarSource/sonarqube-scan-action@v1.1.0 + uses: SonarSource/sonarqube-scan-action@7295e71c9583053f5bf40e9d4068a0c974603ec8 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Needed to get PR information + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} # Generate a token on SonarQube, add it to the secrets of this repo with the name SONAR_TOKEN (Settings > Secrets > Actions > add new repository secret) + SONAR_HOST_URL: ${{ secrets.SONAR_HOST_URL }} # add the URL of your instance to the secrets of this repo with the name SONAR_HOST_URL (Settings > Secrets > Actions > add new repository secret) + with: + # Additional arguments for the sonarcloud scanner + args: + # Unique key of your project. You can find it in SonarQube > [my project] > Project Information (top-right menu) + # mandatory + -Dsonar.projectKey= + # Comma-separated paths to directories containing main source files. + #-Dsonar.sources= # optional, default is project base directory + # When you need the analysis to take place in a directory other than the one from which it was launched + #-Dsonar.projectBaseDir= # optional, default is . + # Comma-separated paths to directories containing test source files. + #-Dsonar.tests= # optional. For more info about Code Coverage, please refer to https://docs.sonarcloud.io/enriching/test-coverage/overview/ + # Adds more detail to both client and server-side analysis logs, activating DEBUG mode for the scanner, and adding client-side environment variables and system properties to the server-side log of analysis report processing. + #-Dsonar.verbose= # optional, default is false diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 828092657..6e0ab2f9b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "4a3485d6-ba58-4660-a983-5680821c5719", "metadata": {}, "outputs": [], @@ -56,10 +56,288 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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178 rows × 14 columns

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" + ], + "text/plain": [ + " alcohol malic_acid ash alcalinity_of_ash magnesium total_phenols \\\n", + "0 14.23 1.71 2.43 15.6 127.0 2.80 \n", + "1 13.20 1.78 2.14 11.2 100.0 2.65 \n", + "2 13.16 2.36 2.67 18.6 101.0 2.80 \n", + "3 14.37 1.95 2.50 16.8 113.0 3.85 \n", + "4 13.24 2.59 2.87 21.0 118.0 2.80 \n", + ".. ... ... ... ... ... ... \n", + "173 13.71 5.65 2.45 20.5 95.0 1.68 \n", + "174 13.40 3.91 2.48 23.0 102.0 1.80 \n", + "175 13.27 4.28 2.26 20.0 120.0 1.59 \n", + "176 13.17 2.59 2.37 20.0 120.0 1.65 \n", + "177 14.13 4.10 2.74 24.5 96.0 2.05 \n", + "\n", + " flavanoids nonflavanoid_phenols proanthocyanins color_intensity hue \\\n", + "0 3.06 0.28 2.29 5.64 1.04 \n", + "1 2.76 0.26 1.28 4.38 1.05 \n", + "2 3.24 0.30 2.81 5.68 1.03 \n", + "3 3.49 0.24 2.18 7.80 0.86 \n", + "4 2.69 0.39 1.82 4.32 1.04 \n", + ".. ... ... ... ... ... \n", + "173 0.61 0.52 1.06 7.70 0.64 \n", + "174 0.75 0.43 1.41 7.30 0.70 \n", + "175 0.69 0.43 1.35 10.20 0.59 \n", + "176 0.68 0.53 1.46 9.30 0.60 \n", + "177 0.76 0.56 1.35 9.20 0.61 \n", + "\n", + " od280/od315_of_diluted_wines proline class \n", + "0 3.92 1065.0 0 \n", + "1 3.40 1050.0 0 \n", + "2 3.17 1185.0 0 \n", + "3 3.45 1480.0 0 \n", + "4 2.93 735.0 0 \n", + ".. ... ... ... \n", + "173 1.74 740.0 2 \n", + "174 1.56 750.0 2 \n", + "175 1.56 835.0 2 \n", + "176 1.62 840.0 2 \n", + "177 1.60 560.0 2 \n", + "\n", + "[178 rows x 14 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from sklearn.datasets import load_wine\n", "\n", @@ -91,12 +369,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "56916892", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "178" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "wine_df['alcohol'].size" ] }, { @@ -109,12 +399,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "df0ef103", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "14" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "wine_df.columns.size" ] }, { @@ -130,9 +432,24 @@ "execution_count": null, "id": "47989426", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1, 2])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your answer here" + "# The 'variable type' of the response variable `class` (e.g., 'integer', 'category', etc.)\n", + "wine_df['class'].dtype\n", + "\n", + "# The number of unique values in the response variable `class`\n", + "wine_df['class'].unique()\n" ] }, { @@ -146,12 +463,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "id": "bd7b0910", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "class\n", + "1 71\n", + "0 59\n", + "2 48\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "\n", + "wine_df['class'].value_counts()" ] }, { @@ -175,10 +509,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "cc899b59", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " alcohol malic_acid ash alcalinity_of_ash magnesium \\\n", + "0 1.518613 -0.562250 0.232053 -1.169593 1.913905 \n", + "1 0.246290 -0.499413 -0.827996 -2.490847 0.018145 \n", + "2 0.196879 0.021231 1.109334 -0.268738 0.088358 \n", + "3 1.691550 -0.346811 0.487926 -0.809251 0.930918 \n", + "4 0.295700 0.227694 1.840403 0.451946 1.281985 \n", + "\n", + " total_phenols flavanoids nonflavanoid_phenols proanthocyanins \\\n", + "0 0.808997 1.034819 -0.659563 1.224884 \n", + "1 0.568648 0.733629 -0.820719 -0.544721 \n", + "2 0.808997 1.215533 -0.498407 2.135968 \n", + "3 2.491446 1.466525 -0.981875 1.032155 \n", + "4 0.808997 0.663351 0.226796 0.401404 \n", + "\n", + " color_intensity hue od280/od315_of_diluted_wines proline \n", + "0 0.251717 0.362177 1.847920 1.013009 \n", + "1 -0.293321 0.406051 1.113449 0.965242 \n", + "2 0.269020 0.318304 0.788587 1.395148 \n", + "3 1.186068 -0.427544 1.184071 2.334574 \n", + "4 -0.319276 0.362177 0.449601 -0.037874 \n" + ] + } + ], "source": [ "# Select predictors (excluding the last column)\n", "predictors = wine_df.iloc[:, :-1]\n", @@ -251,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "72c101f2", "metadata": {}, "outputs": [], @@ -284,7 +645,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "08818c64", "metadata": {}, "outputs": [], @@ -305,7 +666,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "ffefa9f2", "metadata": {}, "outputs": [], @@ -365,7 +726,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -379,12 +740,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.19" - }, - "vscode": { - "interpreter": { - "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e" - } + "version": "3.12.1" } }, "nbformat": 4,