{"id":1,"date":"2017-09-28T15:42:44","date_gmt":"2017-09-28T13:42:44","guid":{"rendered":"http:\/\/www.pschatzmann.ch\/?p=1"},"modified":"2020-11-21T22:22:53","modified_gmt":"2020-11-21T21:22:53","slug":"data-science","status":"publish","type":"post","link":"https:\/\/www.pschatzmann.ch\/home\/2017\/09\/28\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"<p>Today, I was putting together and testing my <a href=\"https:\/\/hub.docker.com\/r\/pschatzmann\/data-science\/\"><strong>Data<\/strong> <strong>Science<\/strong> <strong>Toolbox\u00a0<\/strong><\/a>in Docker\u00a0 which consists of the following components:<\/p>\n<ul>\n<li><strong>GUI\/Environment<\/strong><br \/>\n&#8211; jupyter<br \/>\n&#8211; python3<\/li>\n<li><strong>Core Libraries<\/strong><br \/>\n&#8211; NumPy<br \/>\n&#8211; SciPy<br \/>\n&#8211; Pandas<\/li>\n<li><strong>Visualization<\/strong><br \/>\n&#8211; Matplotlib<br \/>\n&#8211; Seaborn<\/li>\n<li><strong>Machine Learning<\/strong><br \/>\n&#8211; SciKit-Learn<br \/>\n&#8211; Keras<br \/>\n&#8211; TensorFlow<\/li>\n<\/ul>\n<p>It is based on the lean Alpine Linux!<\/p>\n<p>Here is the version information of the installed components:<\/p>\n<div id=\"notebook\" class=\"border-box-sizing\" tabindex=\"-1\">\n<div id=\"notebook-container\" class=\"container\">\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"prompt input_prompt\">In\u00a0[12]:<\/div>\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"kn\">import<\/span> <span class=\"nn\">sys<\/span>\r\n<span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">sys<\/span><span class=\"o\">.<\/span><span class=\"n\">version<\/span><span class=\"p\">)<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"output_subarea output_stream output_stdout output_text\">\n<pre>3.6.2 (default, Aug 29 2017, 13:56:02) \r\n[GCC 6.4.0]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cell border-box-sizing code_cell rendered\">\n<div class=\"input\">\n<div class=\"prompt input_prompt\">In\u00a0[11]:<\/div>\n<div class=\"inner_cell\">\n<div class=\"input_area\">\n<div class=\" highlight hl-ipython3\">\n<pre><span class=\"nb\">print<\/span><span class=\"p\">(<\/span><span class=\"s2\">\"Installed Modules:\"<\/span><span class=\"p\">);<\/span>\r\n<span class=\"kn\">import<\/span> <span class=\"nn\">pip<\/span>\r\n<span class=\"nb\">sorted<\/span><span class=\"p\">([<\/span><span class=\"s2\">\"<\/span><span class=\"si\">%s<\/span><span class=\"s2\">==<\/span><span class=\"si\">%s<\/span><span class=\"s2\">\"<\/span> <span class=\"o\">%<\/span> <span class=\"p\">(<\/span><span class=\"n\">i<\/span><span class=\"o\">.<\/span><span class=\"n\">key<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"o\">.<\/span><span class=\"n\">version<\/span><span class=\"p\">)<\/span> <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">pip<\/span><span class=\"o\">.<\/span><span class=\"n\">get_installed_distributions<\/span><span class=\"p\">()])<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"output_wrapper\">\n<div class=\"output\">\n<div class=\"output_area\">\n<div class=\"output_subarea output_stream output_stdout output_text\">\n<pre>Installed Modules:\r\n<\/pre>\n<\/div>\n<\/div>\n<div class=\"output_area\">\n<div class=\"prompt output_prompt\">Out[11]:<\/div>\n<div class=\"output_text output_subarea output_execute_result\">\n<pre>['bleach==1.5.0',\r\n 'cycler==0.10.0',\r\n 'decorator==4.1.2',\r\n 'entrypoints==0.2.3',\r\n 'google-api-python-client==1.6.4',\r\n 'html5lib==0.9999999',\r\n 'httplib2==0.10.3',\r\n 'ipykernel==4.6.1',\r\n 'ipython-genutils==0.2.0',\r\n 'ipython==6.2.0',\r\n 'ipywidgets==7.0.1',\r\n 'jedi==0.11.0',\r\n 'jinja2==2.9.6',\r\n 'jsonschema==2.6.0',\r\n 'jupyter-client==5.1.0',\r\n 'jupyter-console==5.2.0',\r\n 'jupyter-core==4.3.0',\r\n 'jupyter==1.0.0',\r\n 'keras==2.0.8',\r\n 'markdown==2.6.9',\r\n 'markupsafe==1.0',\r\n 'matplotlib==2.0.2',\r\n 'mistune==0.7.4',\r\n 'nbconvert==5.3.1',\r\n 'nbformat==4.4.0',\r\n 'nltk==3.2.5',\r\n 'notebook==5.1.0',\r\n 'numpy==1.13.1',\r\n 'oauth2client==4.1.2',\r\n 'olefile==0.43',\r\n 'pandas==0.20.3',\r\n 'pandocfilters==1.4.2',\r\n 'parso==0.1.0',\r\n 'pexpect==4.2.1',\r\n 'pickleshare==0.7.4',\r\n 'pillow==4.2.1',\r\n 'pip==9.0.1',\r\n 'prompt-toolkit==1.0.15',\r\n 'protobuf==3.4.0',\r\n 'ptyprocess==0.5.2',\r\n 'pyasn1-modules==0.1.4',\r\n 'pyasn1==0.3.6',\r\n 'pygments==2.2.0',\r\n 'pyparsing==2.2.0',\r\n 'python-dateutil==2.6.1',\r\n 'pytz==2017.2',\r\n 'pyyaml==3.12',\r\n 'pyzmq==16.0.2',\r\n 'qtconsole==4.3.1',\r\n 'rsa==3.4.2',\r\n 'scikit-learn==0.19.0',\r\n 'scipy==0.19.1',\r\n 'seaborn==0.8.1',\r\n 'setuptools==28.8.0',\r\n 'simplegeneric==0.8.1',\r\n 'six==1.11.0',\r\n 'tensorflow-tensorboard==0.1.7',\r\n 'tensorflow==1.3.0',\r\n 'terminado==0.6',\r\n 'testpath==0.3.1',\r\n 'tornado==4.5.2',\r\n 'traitlets==4.3.2',\r\n 'uritemplate==3.0.0',\r\n 'wcwidth==0.1.7',\r\n 'werkzeug==0.12.2',\r\n 'wheel==0.29.0',\r\n 'widgetsnbextension==3.0.3']<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Today, I was putting together and testing my Data Science Toolbox\u00a0in Docker\u00a0 which consists of the following components: GUI\/Environment &#8211; jupyter &#8211; python3 Core Libraries &#8211; NumPy &#8211; SciPy &#8211; Pandas Visualization &#8211; Matplotlib &#8211; Seaborn Machine Learning &#8211; SciKit-Learn &#8211; Keras &#8211; TensorFlow It is based on the lean [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":127,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Science - Phil Schatzmann<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pschatzmann.ch\/home\/2017\/09\/28\/data-science\/\" \/>\n<meta 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