ih2502mk

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

iexa

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

shrekuu

# 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:

pavelmalik

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)

Piasy

brew options ffmpeg

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

majackson

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

1. Make the model or column addition in your code.

jim3ma

package main

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

juno

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

Mistobaan

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

hnakamur

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).