Albert Cai oldcai

## list.md

      
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                ih2502mk
                / list.md
            
            
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              June 27, 2024 15:25
            
              
                Quantopian Lectures Saved
              
          
    Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]

Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]

Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]

Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]

Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

  
## python-with-tcl.rb
class Python < Formula
  desc "Interpreted, interactive, object-oriented programming language"
  homepage "https://www.python.org/"
  url "https://www.python.org/ftp/python/3.8.6/Python-3.8.6.tar.xz"
  sha256 "a9e0b79d27aa056eb9cce8d63a427b5f9bab1465dee3f942dcfdb25a82f4ab8a"
  head "https://github.com/python/cpython.git"
  license "Python-2.0"
  revision 1

  bottle do

## homebrew-mirror-in-china.sh
# 清华大学:

cd "$(brew --repo)"
git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/brew.git
cd "$(brew --repo)/Library/Taps/homebrew/homebrew-core"
git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/homebrew-core.git

# 手动修改 bottles 地址:
export HOMEBREW_BOTTLE_DOMAIN=https://mirrors.tuna.tsinghua.edu.cn/homebrew-bottles
# 或:

## tensorflow_1_7_high_sierra_gpu.md

      
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                pavelmalik
                / tensorflow_1_7_high_sierra_gpu.md
            
            
              Last active
              November 15, 2021 22:45
                — forked from mattiasarro/tensorflow_1_6_high_sierra_gpu.md
            
              
                Install Tensorflow 1.7 on macOS High Sierra 10.13.3 with CUDA and stock python
              
          
    Tensorflow 1.7 with CUDA on macOS High Sierra 10.13.3 and default python 2.7

Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27.
Requirements


NVIDIA Web-Drivers 387.10.10.10.25.156 for 10.13.3
CUDA-Drivers 387.178
CUDA 9.1 Toolkit
cuDNN 7.0.5 (latest release for mac os)


## install_ffmpeg.sh
brew options ffmpeg

brew install ffmpeg \
--with-chromaprint \
--with-fdk-aac \
--with-fontconfig \
--with-freetype \
--with-frei0r \
--with-game-music-emu \
--with-libass \

## migrations.md

      
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              78 stars
            
          
                majackson
                / migrations.md
            
            
              Last active
              June 1, 2024 11:19
            
              
                Django migrations without downtime
              
          
    Django Migrations without Downtime

The following instructions describe a set of processes allowing you to run Django database migrations against a production database without having to bring the web service down.
Note that in the below instructions, migrations are all run manually at explicit points, and are not an automatic part of the deployment process.
Adding Fields or Tables

Adding a (nullable) field or a new table


Make the model or column addition in your code.


## http_proxy.go
package main

import (
	"bufio"
	"fmt"
	"net"
	"net/http"
	"net/url"
	"crypto/tls"

## atom-setup.md

      
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                juno
                / atom-setup.md
            
            
              Last active
              March 12, 2023 21:07
            
              
                My Atom editor setup.
              
          
    My Atom editor setup

Atom


Install Atom from https://atom.io/.

Atom Shell Commands


Launch Atom and select "Atom - Install Shell Commands" menu to install atom and apm commands
Add /usr/local/bin to PATH environment varibale


## tensorflow_cuda_osx.md

      
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              123 stars
            
          
                Mistobaan
                / tensorflow_cuda_osx.md
            
            
              Last active
              July 25, 2023 18:54
            
              
                How to enable cuda support for tensor flow on Mac OS X (Updated on April:2016 Tensorflow 0.8)
              
          
    These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport.
I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.
Prerequisites

Make sure to update your homebrew formulas
brew update


## multiple_commands_pipe.py
from subprocess import Popen, PIPE

cmd = 'cat | head -5'
proc = Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE)
outs, errs = proc.communicate(input="""
        Popen.communicate(input=None, timeout=None)
        Interact with process: Send data to stdin. Read data from stdout and stderr, until end-of-file is reached. Wait for process to terminate. The optional input argument should be data to be sent to the child process, or None, if no data should be sent to the child. The type of input must be bytes or, if universal_newlines was True, a string.

        communicate() returns a tuple (stdout_data, stderr_data).
	class Python < Formula
	desc "Interpreted, interactive, object-oriented programming language"
	homepage "https://www.python.org/"
	url "https://www.python.org/ftp/python/3.8.6/Python-3.8.6.tar.xz"
	sha256 "a9e0b79d27aa056eb9cce8d63a427b5f9bab1465dee3f942dcfdb25a82f4ab8a"
	head "https://github.com/python/cpython.git"
	license "Python-2.0"
	revision 1

	bottle do
	# 清华大学:

	cd "$(brew --repo)"
	git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/brew.git
	cd "$(brew --repo)/Library/Taps/homebrew/homebrew-core"
	git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/homebrew-core.git

	# 手动修改 bottles 地址:
	export HOMEBREW_BOTTLE_DOMAIN=https://mirrors.tuna.tsinghua.edu.cn/homebrew-bottles
	# 或:
	brew options ffmpeg

	brew install ffmpeg \
	--with-chromaprint \
	--with-fdk-aac \
	--with-fontconfig \
	--with-freetype \
	--with-frei0r \
	--with-game-music-emu \
	--with-libass \
	package main

	import (
	"bufio"
	"fmt"
	"net"
	"net/http"
	"net/url"
	"crypto/tls"
	from subprocess import Popen, PIPE

	cmd = 'cat \| head -5'
	proc = Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE)
	outs, errs = proc.communicate(input="""
	Popen.communicate(input=None, timeout=None)
	Interact with process: Send data to stdin. Read data from stdout and stderr, until end-of-file is reached. Wait for process to terminate. The optional input argument should be data to be sent to the child process, or None, if no data should be sent to the child. The type of input must be bytes or, if universal_newlines was True, a string.

	communicate() returns a tuple (stdout_data, stderr_data).