The following guide describes how to setup Raspberry Pi to connect to Wifi. It was tested on the following environment:
- Raspberry Pi Model B
- Edimax EW-7811Un USB Wifi dongle
- OS: Raspbian Jessie
Here are the overview of the steps:
from flask import Flask, render_template | |
app = Flask(__name__) | |
@app.route('/') | |
@app.route('/index') | |
def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350): | |
chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,} | |
series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}] | |
title = {"text": 'My Title'} |
# Sample PBS job script | |
# | |
# Copy this script, customize it and then submit it with the ``qsub'' | |
# command. For example: | |
# | |
# cp pbs-template.sh myjob-pbs.sh | |
# {emacs|vi} myjob-pbs.sh | |
# qsub myjob-pbs.sh | |
# | |
# PBS directives are fully documented in the ``qsub'' man page. Directives |
# settings | |
settings = {...} | |
# authentication | |
from eve.auth import TokenAuth | |
import requests | |
from flask import request, g | |
class TokenAuth(TokenAuth): | |
def check_auth(self, token, allowed_roles, resource, method): | |
# check token against user api |
###Download STAR### Obtain STAR source from https://github.com/alexdobin/STAR
Add the following to your .bashrc file and source it:
export PATH=/path/to/STAR/bin/:$PATH
###Generate Reference Genome
As of January 2018, Raspbian does not yet include the latest Python release, Python 3.6. This means we will have to build it ourselves, and here is how to do it. There is also an ansible role attached that automates it all for you.
Install the required build-tools (some might already be installed on your system).
This set of Docker images were developed to provide a fast and reproducible way to play, develop and learn with Tensorflow under Python environment, from minimal installation to a complete one including JupyterLab computational environment and OpenCV (Open Source Computer Vision Library). Use or build images for amd64 or arm32v7 architectures without hassle, the whole set is Multi-Arch designed. Get latest versions and switch between them while keep clean your system.
GitHub | Python2 | Python3 | Tensorflow | JupyterLab | OpenCV |
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