mattions

FHIR2Metadata bridge

Retrieving the data from the INCLUDE FHIR Data via the FHIR_resource.

Quick help:

 python fhir_trisomy_bridge.py --help
usage: fhir_trisomy_bridge.py [-h] --cavatica_token CAVATICA_TOKEN --cavatica_project CAVATICA_PROJECT
                              --include_fhir_authentication_cookie INCLUDE_FHIR_AUTHENTICATION_COOKIE

mattions

import sevenbridges as sbg

c = sbg.Config(profile='cavatica')
api = sbg.Api(config=c)
bg = api.billing_groups.get(id='14bc19f2-6a6a-4a44-bb07-f86020dad9c0')
breakdown = bg.breakdown()
for project_breakdown in breakdown.project_breakdown:
    project_id_parsed = (project_breakdown.href.split("/")[-2:])
    project_id = "/".join(project_id_parsed)
    print(project_id)

mattions

import pandas as pd

data = {"colA": [1, 2 , 3, 4, 5, 6, 7 ,8], 
        "colB": ["one", "two", "one", "two", "one", "two", "one", "two"]}
df = pd.DataFrame(data)

# Always use the pattern
# df.loc[<selector>, column_to_change] = value
# selector is usually df['a_column'] == "something"
# the column can be one or more.

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Install dependencies :

This is manual way to install necessary packages :

sudo apt-get install ros-kinetic-robot-localization ros-kinetic-controller-manager ros-kinetic-joint-state-controller ros-kinetic-diff-drive-controller ros-kinetic-gazebo-ros ros-kinetic-gazebo-ros-control ros-kinetic-gazebo-plugins             ros-kinetic-lms1xx ros-kinetic-pointgrey-camera-description ros-kinetic-roslint ros-kinetic-amcl ros-kinetic-gmapping      ros-kinetic-map-server ros-kinetic-move-base ros-kinetic-urdf ros-kinetic-xacro ros-kinetic-message-runtime ros-kinetic-topic-tools ros-kinetic-teleop-twist-joy

If you want to use rosdep and install all dependencies (for example for doc generation etc), the skip this step.

Create a workspace and clone sources

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# SBFS Privileged helper script
# Allow root to see projects. Needed if you want to use docker
#
# Note: export the $SBG_SBFS_MOUNT_POINT variable in your
# .bashrc
#
# For Example: 
#     export SBG_SBFS_MOUNT_POINT=~/sbfs_mount_point
# Make sure the `~/sbfs_mount_point` directory exists
# 

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# Launch the docker container of the latest st_viewer
# Note: We are using the $SBG_SBFS_MOUNT_POINT variable
# You can replace that with the actual path if you do not 
# want to use the env variable. Check the `sbfs-privileges.sh` 
# file for details.
# 
# The mounted projects will be found at `/STDatasets` mount point
# within the docker container

xhost +local:root

mattions

sudo apt install alien -y
sudo alien bluejeans_1.28.9-2_amd64.rpm # or whatever is the file you downloaded from the bluejeans website
sudo dpkg -i bluejeans_1.28.9-2_amd64.deb
cd /lib/x86_64-linux-gnu
#sudo ln -s libudev.so libudev.so.0
sudo ln -s libudev.so.1 libudev.so.0

# now you can launch bluejeans
/opt/bluejeans/bluejeans-bin

mattions

Your Vision

What is a vision?

Your vision answers the question "What do I want?" A clear vision help you communicate why you're here and what impact you're going to have.

Your vision should be aligned with the company vision, with your manager's V2MOM, and it should be personal. It should be an honest reflection of your own vision for your own work.

If you manage a team, it should be reflective of the purpose of the team and your collective impact.

mattions

# Upgrade your requirements
# - Finds outdated package with pip
# - install latest stable version
# - Update the requirements with the latest

pip list --outdated | cut -d' ' -f1 | xargs pip install --upgrade
pip freeze > requirements.txt

mattions

# blackkiwi - production app

FROM mattions/webber:1.0
MAINTAINER  mattions "mattions@gmail.com"

ENV DEBIAN_FRONTEND noninteractive
ENV PYTHONUNBUFFERED 1

RUN apt-get update && apt-get -qy install\
    python3 \