Eric Ma ericmjl

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Hello fellow datanistas!

Welcome to the September edition of the programming-oriented data science newsletter. I hope you've all been staying safe amid the COVID-19 outbreak.

There's no special theme this month, just a smattering of cool tools and articles that I think will improve your productivity!

	# Taken from https://github.com/ericmjl/dotfiles/blob/master/install_functions.sh

	function install_anaconda {
	bash anaconda.sh -b -p $HOME/anaconda
	rm anaconda.sh
	export PATH=$HOME/anaconda/bin:$PATH

	# Install basic data science stack into default environment
	conda install --yes pandas scipy numpy matplotlib seaborn jupyter ipykernel nodejs

	$ docker run --gpus all -i -t jax:latest /bin/bash
	(base) [docker@e697aef58065 ~]$ ls
	anaconda cuda-repo-rhel8-10-2-local-10.2.89-440.33.01-1.0-1.x86_64.rpm
	(base) [docker@e697aef58065 ~]$ which python
	~/anaconda/bin/python
	(base) [docker@e697aef58065 ~]$ conda activate mouse-hmm
	(mouse-hmm) [docker@e697aef58065 ~]$ python
	Python 3.7.6 \| packaged by conda-forge \| (default, Jun 1 2020, 18:57:50)
	[GCC 7.5.0] on linux
	Type "help", "copyright", "credits" or "license" for more information.


	@pytest.fixture
	def path_graph():
	"""Return a path graaph of length three."""
	G = nx.path_graph(3, create_using=nx.DiGraph)
	G.graph["name"] = "path"
	nx.freeze(G)
	return G

	@pytest.fixture

	import streamlit as st
	import pandas as pd

	st.title("A Careful Walk Through Probability Distributions with Python")

	st.markdown("""
	_By Eric J. Ma, for PyCon 2020_

	Hey there! Thanks for stopping by.