Andrei Shirobokov feeeper

## spacy_intro.ipynb

      
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                aparrish
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                NLP Concepts with spaCy. Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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## Keras_usage_example.ipynb

      
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                madrugado
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                Keras usage example, simple text classification
              
          
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## server.py
#!/usr/bin/env python3
"""
License: MIT License
Copyright (c) 2023 Miel Donkers

Very simple HTTP server in python for logging requests
Usage::
    ./server.py [<port>]
"""
from http.server import BaseHTTPRequestHandler, HTTPServer

## tokens.md

      
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                zmts
                / tokens.md
            
            
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              May 8, 2024 18:59
            
              
                Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication
              
          
    Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Last major update: 25.08.2020

Что такое авторизация/аутентификация
Где хранить токены
Как ставить куки ?
Процесс логина
Процесс рефреш токенов
Кража токенов/Механизм контроля токенов


## 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

## useful_pandas_snippets.md

      
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                bsweger
                / useful_pandas_snippets.md
            
            
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              April 19, 2024 18:04
            
              
                Useful Pandas Snippets
              
          
    Useful Pandas Snippets

A personal diary of DataFrame munging over the years.
Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)

(h/t @makmanalp)

  
## letor_metrics.py
# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

## sqlreset.sql
/* Drop all non-system stored procs */
DECLARE @name VARCHAR(128)
DECLARE @SQL VARCHAR(254)

SELECT @name = (SELECT TOP 1 [name] FROM sysobjects WHERE [type] = 'P' AND category = 0 ORDER BY [name])

WHILE @name is not null
BEGIN
    SELECT @SQL = 'DROP PROCEDURE [dbo].[' + RTRIM(@name) +']'
    EXEC (@SQL)

## remove_output.py
"""
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
Modified from remove_output by Minrk

"""
import sys
import io
import os
from IPython.nbformat.current import read, write

## cb.py
import sys
import subprocess

def copy(s):
    if sys.platform == 'win32' or sys.platform == 'cygwin':
        subprocess.Popen(['clip'], stdin=subprocess.PIPE).communicate(s)
    else:
        raise Exception('Platform not supported')

'''
	#!/usr/bin/env python3
	"""
	License: MIT License
	Copyright (c) 2023 Miel Donkers

	Very simple HTTP server in python for logging requests
	Usage::
	./server.py [<port>]
	"""
	from http.server import BaseHTTPRequestHandler, HTTPServer
	'''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
	# (C) Mathieu Blondel, November 2013
	# License: BSD 3 clause

	import numpy as np


	def ranking_precision_score(y_true, y_score, k=10):
	"""Precision at rank k

	Parameters
	/* Drop all non-system stored procs */
	DECLARE @name VARCHAR(128)
	DECLARE @SQL VARCHAR(254)

	SELECT @name = (SELECT TOP 1 [name] FROM sysobjects WHERE [type] = 'P' AND category = 0 ORDER BY [name])

	WHILE @name is not null
	BEGIN
	SELECT @SQL = 'DROP PROCEDURE [dbo].[' + RTRIM(@name) +']'
	EXEC (@SQL)
	"""
	Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
	Modified from remove_output by Minrk

	"""
	import sys
	import io
	import os
	from IPython.nbformat.current import read, write
	import sys
	import subprocess

	def copy(s):
	if sys.platform == 'win32' or sys.platform == 'cygwin':
	subprocess.Popen(['clip'], stdin=subprocess.PIPE).communicate(s)
	else:
	raise Exception('Platform not supported')

	'''