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@seanbehan
seanbehan / bulk-upsert-from-temporary-table.sql
Created October 17, 2015 16:49
Perform an "upsert" from CSV file using Postgres copy command #sql #psql
create temporary table temp (symbol varchar(255), open decimal, high decimal, low decimal, close decimal, volume varchar(255), date date );
create table if not exists stocks (id serial primary key, symbol varchar(255), open decimal, high decimal, low decimal, close decimal, volume varchar(255), date date, created_at timestamp, updated_at timestamp);
copy temp (symbol, date, open, high, low, close, volume) from '/path/to/file.csv' with delimiter ',' csv header;
delete from stocks using temp where stocks.date = temp.date and stocks.symbol = temp.symbol;
insert into stocks (symbol, open, high, low, close, volume, date) select symbol, open, high, low, close, volume, date from temp;
@tanaikech
tanaikech / submit.md
Last active November 18, 2024 13:34
Downloading Shared Files on Google Drive Using Curl

Downloading Shared Files on Google Drive Using Curl

When the shared files on Google Drive is downloaded, it is necessary to change the download method by the file size. The boundary of file size when the method is changed is about 40MB.

File size < 40MB

CURL

filename="### filename ###"
fileid="### file ID ###"
curl -L -o ${filename} "https://drive.google.com/uc?export=download&amp;id=${fileid}"
import math
import numpy as np
from sklearn.linear_model import Ridge
class LinearModelTree:
def __init__(self, min_node_size, node_model_fit_func, min_split_improvement=0):
self.min_node_size = min_node_size
self.node_model_fit_func = node_model_fit_func
self.min_split_improvement = min_split_improvement
@briandominick
briandominick / doc-ops-consulting-agreement.adoc
Last active July 19, 2022 17:29
Sample DocOps Consulting Agreement (Prime Source)

Documentation Engineering Consulting Agreement

# -*- coding: utf-8 -*-
""" Deletes all tweets below a certain retweet threshold.
"""
import tweepy
from datetime import datetime
# Constants
CONSUMER_KEY = ''
@adrienbrault
adrienbrault / llama2-mac-gpu.sh
Last active August 15, 2024 07:10
Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM. UPDATE: see https://twitter.com/simonw/status/1691495807319674880?s=20
# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
# Build it
make clean
LLAMA_METAL=1 make
# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin