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Le Wagon Data Science 502 final project for Florent Martin, Catherine Cheng and Clémence Knaébel, in partnership with BPI, to better understand deep tech startups (together with repository bpifrance_deeptech_analysis

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ClemenceK/deep4deep

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Data analysis

  • Document here the project: deep4deep
  • Description: Project Description
  • Data Source:
  • Type of analysis:

Please document the project the better you can.

Startup the project

The initial setup.

Create virtualenv and install the project:

  $ sudo apt-get install virtualenv python-pip python-dev
  $ deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

  $ make clean install test

Check for deep4deep in gitlab.com/{group}. If your project is not set please add it:

  • Create a new project on gitlab.com/{group}/deep4deep
  • Then populate it:
  $ ##   e.g. if group is "{group}" and project_name is "deep4deep"
  $ git remote add origin [email protected]:{group}/deep4deep.git
  $ git push -u origin master
  $ git push -u origin --tags

Functionnal test with a script:

  $ cd /tmp
  $ deep4deep-run

Install

Go to gitlab.com/{group}/deep4deep to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

  $ sudo apt-get install virtualenv python-pip python-dev
  $ deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

  $ git clone gitlab.com/{group}/deep4deep
  $ cd deep4deep
  $ pip install -r requirements.txt
  $ make clean install test                # install and test

Functionnal test with a script:

  $ cd /tmp
  $ deep4deep-run

About

Le Wagon Data Science 502 final project for Florent Martin, Catherine Cheng and Clémence Knaébel, in partnership with BPI, to better understand deep tech startups (together with repository bpifrance_deeptech_analysis

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