Sarthak Sahu ssahu

## .pythonrc.py
#!/usr/bin/env python

# save this file as $HOME/.pythonrc.py
# add `export PYTHONSTARTUP=$HOME/.pythonrc.py` to your .bashrc

import os
import atexit
import sys, pprint
import readline, rlcompleter

## linux_fun.md

      
              1 file
            
          
              35 forks
            
          
              7 comments
            
          
              141 stars
            
          
                marianposaceanu
                / linux_fun.md
            
            
              Last active
              January 29, 2023 20:31
            
              
                How to have some fun using the terminal.
              
          
    Linux fun-o-matic

How to have some fun using the terminal.

Install cowsay [0] via : sudo apt-get install cowsay
Install fortune [1] via : sudo apt-get install fortune
Make sure you have Ruby installed via : ruby -v
Install the lolcat [2] via : gem gem install lolcat
Profit!


## 2014-09-18_numeric-index-gotcha.md

      
              2 files
            
          
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              3 stars
            
          
                jennybc
                / 2014-09-18_numeric-index-gotcha.md
            
            
              Last active
              August 29, 2015 14:06
            
              
                How quickly indexing with numeric can burn you
              
          
    Inspired by recent @johnmyleswhite tweets on indexing (though they focus more
on NA stuff)
My standard advice to R novices is "don't worry about numeric vs integer too
much, for now", but I just created an indexing example that scares me.
I did not realize it was sooo easy to create this gotcha when indexing with
numeric (which I know is not a great idea).

  
## notebook_importing.py
"""
Module directly collated from
http://nbviewer.ipython.org/github/adrn/ipython/blob/1.x/examples/notebooks/Importing%20Notebooks.ipynb
"""
import io, os, sys, types
from IPython.nbformat import current
from IPython.core.interactiveshell import InteractiveShell

def find_notebook(fullname, path=None):
    """find a notebook, given its fully qualified name and an optional path

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## springer-free-maths-books.md

      
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              474 forks
            
          
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              2243 stars
            
          
                bishboria
                / springer-free-maths-books.md
            
            
              Last active
              June 8, 2024 06:39
            
              
                Springer made a bunch of books available for free, these were the direct links
              
          
    These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

  
## classifier_from_little_data_script_1.py
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

## classifier_from_little_data_script_2.py
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

## classifier_from_little_data_script_3.py
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

## tensorboard_logging.py
"""Simple example on how to log scalars and images to tensorboard without tensor ops.

License: BSD License 2.0
"""
__author__ = "Michael Gygli"

import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np
	#!/usr/bin/env python

	# save this file as $HOME/.pythonrc.py
	# add `export PYTHONSTARTUP=$HOME/.pythonrc.py` to your .bashrc

	import os
	import atexit
	import sys, pprint
	import readline, rlcompleter
	"""
	Module directly collated from
	http://nbviewer.ipython.org/github/adrn/ipython/blob/1.x/examples/notebooks/Importing%20Notebooks.ipynb
	"""
	import io, os, sys, types
	from IPython.nbformat import current
	from IPython.core.interactiveshell import InteractiveShell

	def find_notebook(fullname, path=None):
	"""find a notebook, given its fully qualified name and an optional path
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats
	"""Simple example on how to log scalars and images to tensorboard without tensor ops.

	License: BSD License 2.0
	"""
	__author__ = "Michael Gygli"

	import tensorflow as tf
	from StringIO import StringIO
	import matplotlib.pyplot as plt
	import numpy as np