Yunhwan Kim yunhwankim2

## tensorflow_1_7_high_sierra_gpu.md

      
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                Willian-Zhang
                / tensorflow_1_7_high_sierra_gpu.md
            
            
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              February 2, 2020 01:11
                — forked from pavelmalik/tensorflow_1_7_high_sierra_gpu.md
            
              
                Install Tensorflow 1.7 on macOS High Sierra 10.13.4 with CUDA and stock python
              
          
    Tensorflow 1.7 with CUDA on macOS High Sierra 10.13.4 for eGPU

Largely based on the Tensorflow 1.6 gist,
and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
Requirements


NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
CUDA-Drivers 387.178
CUDA 9.1 Toolkit


## tensorflow_1_7_high_sierra_gpu.md

      
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                pavelmalik
                / tensorflow_1_7_high_sierra_gpu.md
            
            
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              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)


## social-science-programming.md

      
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                alexhanna
                / social-science-programming.md
            
            
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              March 14, 2024 11:05
            
              
                Notes on social science programming principles
              
          
Code and Data for the Social Sciences: A Practitioner’s Guide, Gentzkow and Shapiro.
Good enough practices in scientific computing, Wilson et al.
Best Practices for Scientific Computing, Wilson et al.
Principled Data Processing, Patrick Ball.
The Plain Person’s Guide to Plain Text Social Science, Healy.
Avoiding technical debt in social science research, Toor.


For background on Technical Debt: Wikipedia; D. Sculley et al., [Machine Learning: The High-Interest Credit Card of Technical Debt](https://ai.google/resear


## basic_plot.py
import sys
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt

def plot(data,filename,degreetype):
    """ Plot Distribution """
    plt.plot(range(len(data)),data,'bo')
    plt.yscale('log')
    plt.xscale('log')
	import sys
	import numpy as np
	import networkx as nx
	import matplotlib.pyplot as plt

	def plot(data,filename,degreetype):
	""" Plot Distribution """
	plt.plot(range(len(data)),data,'bo')
	plt.yscale('log')
	plt.xscale('log')