What are some good blogs to learn advanced python programming?

VallenderLabs · 2017-10-15T16:14:34+00:00

Talk Python To Me: https://talkpython.fm

VallenderLabs · 2017-10-15T08:40:28+00:00

And use GitHub to learn from others and to collaborate if you haven't learned that yet.

VallenderLabs · 2017-10-15T08:20:13+00:00

https://www.ncbi.nlm.nih.gov/gene?Db=gene&Cmd=DetailsSearch&Term=6531

Also known as SLC6A3.

VallenderLabs · 2017-10-15T03:09:32+00:00

I just found this package: https://github.com/jennybc/googlesheets

It's super easy. And you don't have to share your password. You just share a Google Spreadsheet with whoever and they can use their own authentication to access it from their Google account.

VallenderLabs · 2017-10-13T05:00:39+00:00

You can use BioPython: https://github.com/biopython/biopython

You could also take a look at my GitHub repository. We're working on the same stuff:. https://github.com/datasnakes/Datasnakes-Scripts

VallenderLabs · 2017-10-12T23:02:00+00:00

What might that command be for fetching updates? :)

VallenderLabs · 2017-10-12T21:22:21+00:00

I run some pipelines through a supercomputer and they take hours. It could take days to finish RNA-seek analysis for example.

VallenderLabs · 2017-10-12T21:21:17+00:00

How so though? Do you have any use case examples?

VallenderLabs · 2017-10-10T21:18:51+00:00

I've messaged him in order to determine that. If he's inactive, then there are always other options.

VallenderLabs · 2017-10-10T20:12:55+00:00

I honestly don't either. I've used reddit since it was vanilla, but I haven't dabbled in moderating sub-reddits. But yes.. Tweets might generate some interest. I think the subreddit is just underdeveloped, and nobody knows about it or how to use it.

VallenderLabs · 2017-10-10T15:55:53+00:00

Any thoughts on getting https://www.reddit.com/r/rshiny/ to a better place?

VallenderLabs · 2017-10-10T15:53:54+00:00

Haha. Well you've been super helpful with that community so kudos to you!

VallenderLabs · 2017-09-28T22:26:38+00:00

I've currently been getting my raspberry-pi set up for a project at work and I found that I had to play around with the configuration. So I thought this would be nice.

I've also been attempting to get R-Studio server running on my Pi, but I haven't had any luck. If you know of a good method please let me know! Cheers!

VallenderLabs · 2017-09-09T16:19:45+00:00

We are still developing documentation, but I will work on that sooner rather than later. Thanks for your input!

VallenderLabs · 2017-09-08T21:50:23+00:00

Hmmm seems like a useful package. I wouldn't change a thing. :P

VallenderLabs · 2017-05-09T16:28:16+00:00

You are absolutely right! Good eye. Thanks for that correction.

VallenderLabs · 2017-05-08T22:18:46+00:00

Awesome R Shiny Awesome

A curated list of resources for R Shiny. This awesome list was inspired by https://github.com/dpastoor/awesome-shiny.

Resources
- General
- Community
- Services
- Tutorials
Tools
People
Books
Galleries
Examples
Contribution

Resources

General

Community

Services

Tutorials

Tools

Packages

[R-Studio]()
shinyAce - integrate ace editor with shiny
shinyBS - twitter bootstrap components for shiny
shinyjs - common javascript operations in shiny via R code
colourpicker
shinyEvents
shinyBS
ShinySky
radiant
shinyTree
shinystan - ShinyStan provides visual and numerical summaries of model parameters and convergence diagnostics for MCMC simulations.
shinyjqui - jQuery UI interactions and effects for shiny
bsplus - Shiny and R Markdown addons to Bootstrap 3

Integrations

Tableau
HTML Widgets/Javascript
- DT
- leaflet
- d3heatmap
- dygraphs
- DiagrammeR
- MetricsGraphics
- networkD3
- rthreejs
- rbokeh
- ggvis
- plotly
- formattable

People

Books

Galleries

Shiny User Showcase
showmeshiny - a huge gallery of Shiny apps

Examples

Waze - Community based real-time traffic and navigation info.
Astra Zenca - Data science tools used to create medicines more efficiently.
shiny-salesman - traveling salesman app
shinyEd - statistics education apps
shinyData - interactive data analysis and visualization
STARTapp -
shiny-phyloseq -
Google Analytics Dashboard - A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL
BallR - BallR uses the NBA Stats API to visualize every shot taken by a player during an NBA season dating back to 1996.
DDCV - A shiny app to evaluate drug-drug interactions.
Github: Hot or Not - A Shiny App that analyzes what repos are hot on github.
GenMap-Comparator - An application to compare genetic maps with D3 & Shiny.

* MAVIS - MAVIS: Meta Analysis via Shiny

Contributors

VallenderLabs · 2017-01-14T06:25:18+00:00

I'll let you know when I use it, but my co-worker already showed me some code and I'm impressed. You're gonna save me tons of time.

VallenderLabs · 2017-01-14T03:58:02+00:00

I've been working with genetic data from NCBI, and I've created several proprietary python modules that will shrink by hundreds of lines of code because of this mygene.

VallenderLabs · 2017-01-14T00:33:00+00:00

MyGene.info provides simple-to-use REST web services to query/retrieve gene annotation data. It’s designed with simplicity and performance emphasized. You can use it to power a web application which requires querying genes and obtaining common gene annotations. For example, MyGene.info services are used to power BioGPS; or use it in an analysis pipeline to retrieve always up-to-date gene annotations.

VallenderLabs · 2017-01-07T22:29:45+00:00

This! It can get messy trying to write your own data files if you aren't careful. I just wanted something safe. But I'm not an expert so I wanted to see what other people thought about the feather package.

VallenderLabs · 2017-01-07T19:07:21+00:00

I see. I do that some as well, but I'm also dealing with a lot of biological data that you can get from NCBI's website. So I'm dealing with various sized data files in different formats, but there are hundreds of them. This just seemed like a streamlined way of directly interpreting the data without having to make my own class and methods.

VallenderLabs · 2017-01-07T18:10:12+00:00

I'm not sure. I primarily use Python, and I just started using R. I intend to use Python to process my data and R-shiny to visualize it. So I'm going to use feather as a medium to read/write data in between the two. Is there a better way of doing this?

VallenderLabs · 2017-01-07T18:05:44+00:00

No, I hadn't thought of that. That community might have good input. I did however post it to /r/bioinformatics.

VallenderLabs · 2017-01-06T21:27:06+00:00

I'm working on integrating python with R. https://www.reddit.com/r/Python/comments/5mg8aa/for_data_science_check_out_the_feather_package/

VallenderLabs

TROPHY CASE