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Data Science Programming September 2020 Newsletter

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!

Setting up VSCode for Python Development like RStudio

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# 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

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$ 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.

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@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

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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.

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