myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule

katef

#!/usr/bin/awk -f

# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
# My copy here is written in awk instead of C, has no compelling benefit.
# Public domain. @thingskatedid

# Run as awk -v x=xyz ... or env variables for stuff?
# Assumptions: the data is evenly spaced along the x-axis

# TODO: moving average

aortbals

With the introduction of GitHub's Squash and Merge feature, this has become less prevelant, however it's still useful in scenarios where GitHub's interface is unavailable.

Let's talk through two ways to do a squash and merge on the command line.

Take 1: Interactive Rebase

When to use it

• When you have not merged main into your feature branch
• There are no merge conflicts

halpo

# Makefile for generating R packages.
# 2011 Andrew Redd
#
# Assumes Makefile is in a folder where package contents are in a subfolder pkg.
# Roxygen uses the roxygen2 package, and will run automatically on check and all.

PKG_VERSION=$(shell grep -i ^version pkg/DESCRIPTION | cut -d : -d \  -f 2)
PKG_NAME=$(shell grep -i ^package pkg/DESCRIPTION | cut -d : -d \  -f 2)

R_FILES := $(wildcard pkg/R/*.R)

flare9x

# Back test simple moving average strategy 
# Use 30min ES Data 

require(TTR)
require(quantmod)
require(lubridate)
require(dplyr)
require(microbenchmark)
i=1
out_results <- data.frame()

romainfrancois

> f <- function(...) {
+     promises(environment())
+ }

> g <- function(x = 3, ...) {
+     z <- 4
+     f(z = z, ..., x = x)
+ }

> h <- function(..., a = 2) {