kelly-sovacool

kelly-sovacool

#!/usr/local/bin/python3
"""
CS315 Homework 4 through 6: Binary numbers and arithmetic
Author: Kelly Sovacool
Email: kellysovacool@uky.edu
Date: 21 Sept. 2017
Updated: 16 Nov. 2017
Usage:
        ./binaryNumber.py
        ./binaryNumber.py human-readable

kelly-sovacool

Google Drive file I/O with Colab Jupyter notebooks

A minimal working example.

Instructions

1. Place the Jupyter notebook in your Google Drive.
2. In Google Drive in your web browser, open the Jupyter notebook with Colaboratory.
3. Run the cells in this notebook to mount the drive and practice reading & writing files.

Notes

kelly-sovacool

test-conda-env-hpc

Question

Does the conda environment that you have activated on the login node also get used in the compute nodes when submitting a job?

Methods

• Used conda version 4.6.14

1. Activate a conda env with snakemake installed.

kelly-sovacool

Keybase proof

I hereby claim:

• I am kelly-sovacool on github.
• I am kellysovacool (https://keybase.io/kellysovacool) on keybase.
• I have a public key ASBMlXzLKCSXdzRoABp2hzLAnUTCeiJezimIZ4iS22kGrgo

To claim this, I am signing this object:

kelly-sovacool

Kelly studied biology with a minor in computer science at the University of Kentucky. While working as an undergraduate lab assistant, she discovered a passion for applying computer science to answer biological questions. In 2018, Kelly joined the Bioinformatics PhD program at the University of Michigan. She develops computational tools and data analysis pipelines for microbiome research under the mentorship of Pat Schloss. See her personal website for more information: https://sovacool.dev.

kelly-sovacool

#include <cstdio>
#include <iostream>
#include <string>
using namespace std;

int main () 
{ 
 
while (true) { //This repeats the program. You close console window manually by clicking "x".

kelly-sovacool

---
title: "Lab Meeting Code Review 2019-09-30: Visualizing weights of model features"
output: html_notebook
---

```{r}
library(tidyverse)
feature_data = readr::read_csv('combined_all_imp_features_non_cor_results_L2_Logistic_Regression.csv')
head(feature_data)
```

kelly-sovacool

software-performance

Measuring & improving performance of scientific software.

Compiled vs. Interpreted Languages

Static vs. Duck typing

• Static: variable types are declared at initialization and cannot change. [C++]

kelly-sovacool

monte-carlo-pi

Monte Carlo simulation to estimate the value of Pi

Runtime

Original Python 2 version

time python monte-carlo-pi.py
3.142226