Igor Kuivjogi Fernandes igorkf

Move your Gitlab repository to GitHub

Why move to GitHub?

If you are a coding bootcamp student that has been building projects and solving exercises in a private GitLab repository that is controlled by another organization, then you might want to move your work to GitHub to preserve what you have done and learned, and make your work more visible to other developers in the community, and employers.

The GitHub profile is a great way to market yourself as a developer. You can pin repos to the top that you want to highlight to the community. It also has data visualizations on your contribution history to repo projects. Fortunately, if you have been making contributions to private repos in GitLab, all of your commit history will transfer to this graph.

Directions

cd into your existing Gitlab repository that you want to move to Github.

This is what mine looked like:

Add Git Branch Name to Terminal Prompt (zsh)

Updated for MacOS with zsh

Catalina
Big Sur
Monterey
Ventura
Sonoma

Job script:

#!/bin/bash

#SBATCH --job-name=rfee
#SBATCH --workdir=/home/user.name/rfee/
#SBATCH --output=r_foreach_example_console_output.txt
#SBATCH --mem-per-cpu=100 # specify RAM per CPU here in Mb
#SBATCH --time=0:02:00

Predict vs simulate in lme4

For this investigation we are going to use the sleepdata data set from the lme4 package. Here is the head of the data frame:

	from keras.utils.data_utils import Sequence
	from imblearn.over_sampling import RandomOverSampler
	from imblearn.keras import balanced_batch_generator

	class BalancedDataGenerator(Sequence):
	"""ImageDataGenerator + RandomOversampling"""
	def __init__(self, x, y, datagen, batch_size=32):
	self.datagen = datagen
	self.batch_size = min(batch_size, x.shape[0])
	datagen.fit(x)

	library(doParallel)

	# Choose number of iterations
	n <- 100

	# Progress combine function
	f <- function(iterator){
	pb <- txtProgressBar(min = 1, max = iterator - 1, style = 3)
	count <- 0
	function(...) {

	#!/bin/sh

	# Make sure to:
	# 1) Name this file `backup.sh` and place it in /home/ubuntu
	# 2) Run sudo apt-get install awscli to install the AWSCLI
	# 3) Run aws configure (enter s3-authorized IAM user and specify region)
	# 4) Fill in DB host + name
	# 5) Create S3 bucket for the backups and fill it in below (set a lifecycle rule to expire files older than X days in the bucket)
	# 6) Run chmod +x backup.sh
	# 7) Test it out via ./backup.sh