All your notes, scripts, config files and snippets deserve version control and tagging!
gist
is a simple bash script for gist management.
It is lightweight(~700LOC) and dependency-free! Helps you to boost coding workflow.
import lineax as lx | |
import jax.numpy as jnp | |
import jax | |
from jaxtyping import Float, Array | |
class CubicSpline: | |
x_grid: Float[Array, str("batch")] # input x data | |
y_grid: Float[Array, str("n")] # input y data |
# REF: https://albertotb.com/Git-prompt-with-conda-and-conda-auto-env/ | |
# add the following to the end of your ~/.bashrc file: | |
GREEN="\[\033[38;5;155m\]" | |
DARK_GREEN="\[\033[00;32m\]" | |
GRAY="\[\033[38;5;8m\]" | |
ORANGE="\[\033[38;5;220m\]" | |
BLUE="\[\0 |
Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.
Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.
Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!
Disclaimer 3: I found the Cookiecutter Data Science page after finishing this blog post. Many ideas overlap here, though some directories are irrelevant in my work -- which is to
import numpy as np | |
import datetime | |
import matplotlib.pyplot as plt | |
gw_event = [20150914,20151012,20151226, # O1 events | |
20170104,20170608,20170729,20170809,20170814,20170817,20170818,20170823, | |
20190408,20190412,20190413,20190413,20190421,20190424,20190425,20190426, | |
20190503,20190512,20190513,20190514,20190517,20190519,20190521,20190521, | |
20190527,20190602,20190620,20190630,20190701,20190706,20190707,20190708, | |
20190719,20190720,20190727,20190728,20190731,20190803,20190814,20190828, |
import mxnet as mx | |
from mxnet import nd, gluon | |
from mxnet.gluon.nn import Dense, ELU, LeakyReLU, LayerNorm, Conv2D, MaxPool2D, Flatten, Activation, Dropout | |
import os, sys, datetime | |
from loguru import logger | |
#### REF #### https://loguru.readthedocs.io/en/stable/api/logger.html | |
# DEBUG 10 # INFO 20 # WARNING 30 # ERROR 40 # CRITICAL 50 | |
config = { | |
"handlers": [ |
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
sns.set(context='paper', | |
style='ticks', | |
font_scale=1, | |
rc={'figure.figsize': (8, 5), | |
'figure.dpi': 100, # need fixed | |
'xtick.direction': 'in', |
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
sns.set(context='paper', | |
style='ticks', | |
font_scale=1, | |
rc={'figure.figsize': (8, 5), | |
'figure.dpi': 100, # need fixed | |
'xtick.direction': 'in', |
import numpy as np | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
sns.set(context='paper', | |
style='ticks', | |
font_scale=1, | |
rc={'figure.figsize': (8, 5), | |
'figure.dpi': 100, # need fixed | |
'xtick.direction': 'in', | |
'ytick.direction': 'in', |
import numpy as np | |
from scipy.signal import triang, tukey | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
sns.set(context='paper', | |
style='ticks', | |
font_scale=1, | |
rc={'figure.figsize': (8, 5), | |
'figure.dpi': 100, # need fixed |