<jupyter_start><jupyter_text>Setup Jupyter on local machine Prerequisites1. Download and Install Python 3.6 [Python Download Page](https://www.python.org/downloads/ "Python Software Foundation")TensorFlow is not available for 3.7;For Windows downloads pay attention to 64/32 bit installer; install for all users requires admin password1. Create folder for Juypter notebook in your home dir1. Create Python Virtual Env1. Install jupyter1. Create start-up script to activate venv and start notebook```!/usr/bin/env bashcdmkdir -p jupytercd jupyter[[ -d venv ]] || {  python3.6 -m venv venv  . venv/bin/activate  pip install --upgrade pip  pip install jupyter}[[ -f notebook.sh ]] || {  echo -e "!/usr/bin/env bash\ncd $(dirname $(readlink -f $0))\n. venv/bin/activate\n./venv/bin/jupyter-notebook" >notebook.sh  chmod +x notebook.sh}./notebook.sh  Use notebook.sh to start jupyter notebook```     Use setup notebook1. Open this notebook and run it.  Install Required Packages<jupyter_code>!pip install --upgrade pip
!pip install geoplotlib keras matplotlib pandas pyglet scikit-learn scipy seaborn progressbar theano
!pip install numpy==1.14.5 tensorflow==1.10.1<jupyter_output><empty_output><jupyter_text>Review Installed Versions<jupyter_code>import sys, warnings

print('Python: {}'.format(sys.version))
warnings.filterwarnings('ignore')
for module in ('geoplotlib', 'keras', 'matplotlib', 'pandas', 'progressbar','sklearn', 'scipy', 'seaborn', 'theano',
               'numpy', 'tensorflow'):
    try:
        print('{}: {}'.format(module, getattr(__import__(module, globals(), locals(), [], 0), '__version__')))
    except AttributeError:
        print('{}: {}'.format(module, 'unknown version'))
    except (ImportError, ModuleNotFoundError) as e:
        print('Error while importing module {}: "{}"'.format(module, e))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1332254584681769, 'fraction_numerical': 0.014023732470334413, 'mean_word_length': 4.888888888888889, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 10, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '199057', 'license': 'Unlicense', 'n_tokens_mistral': 612, 'n_tokens_neox': 581, 'n_words': 176, 'path': 'notebooks/setup.ipynb', 'repo_name': 'vikasmunshi/ai-learn', 'size': '1854'}