Hunteram

## download_textbooks.py
import requests, wget
import pandas as pd
df = pd.read_excel("Free+English+textbooks.xlsx")
for index, row in df.iterrows():
        # loop through the excel list
        file_name = f"{row.loc['Book Title']}_{row.loc['Edition']}".replace('/','-').replace(':','-')
        url = f"{row.loc['OpenURL']}"
        r = requests.get(url)
        download_url = f"{r.url.replace('book','content/pdf')}.pdf"
        wget.download(download_url, f"./download/{file_name}.pdf")

## nes.py
"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

## Build-Troys-Network
That's it - I've finally lost it with Linksys and both my WRT 1900ACs that are only a year old are getting chucked. Don't get me started on all the reasons why, but it's primarily down to continued degradation of wifi signal and the constant need for reboots. Going by the responses to this tweet, that's just what they do: https://twitter.com/troyhunt/status/778867707655487488

I’m going all out with Ubiquiti instead. No, I'm not interested in [insert the other thing you think rocks here], there's a really vocal majority in favour of Ubiquiti so that's that. Now I need help speccing out what I need for my house as it’s not quite as straight forward as just chucking in a couple of (dodgy) routers.

Here’s what I’m working with:
- Large multi-level house about 500m2 (needs at least 2 APs, probably more)
- Wired ethernet to every room (I believe Cat 5e, was here when I got here)
- Patch board in the garage and a 100Mbps hub (running patch cables out to a Linksys 8 port gigabit switch instead)
- 4 wired connection

## pokemon_tokens.md

      
              1 file
            
          
              5 forks
            
          
              5 comments
            
          
              53 stars
            
          
                arirubinstein
                / pokemon_tokens.md
            
            
              Last active
              June 8, 2021 10:50
            
          
    Update: download the new Pokemon Go app - it fixes all of this.  Download it, and reauth, and you should be set.  The grant scopes and prompt are correct and visible now too!  Now if only I could actually find a pikachu...

Pokemon tokens are requested with these understandable scopes:


openid
email
https://www.googleapis.com/auth/userinfo.email
https://www.google.com/accounts/OAuthLogin (this scope does much more than it appears.  see update on the bottom for more info)


## springer-free-maths-books.md

      
              1 file
            
          
              474 forks
            
          
              248 comments
            
          
              2243 stars
            
          
                bishboria
                / springer-free-maths-books.md
            
            
              Last active
              April 25, 2024 06:27
            
              
                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

  
## vpn.md

      
              1 file
            
          
              191 forks
            
          
              629 comments
            
          
              2388 stars
            
          
                joepie91
                / vpn.md
            
            
              Last active
              May 3, 2024 10:58
            
              
                Don't use VPN services.
              
          
    Don't use VPN services.

No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.
Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.

A Russian translation of this article can be found here, contributed by Timur Demin.
A Turkish translation can be found here, contributed by agyild.
There's also this article about VPN services, which is honestly better written (and has more cat pictures!) than my article.


## Free_Intraday_StockData_Test_BarChart_API_Gist.py
# -*- coding: utf-8 -*-

import time
t0 = time.clock()

import pandas as pd
from pandas.tseries.offsets import BDay
import numpy as np
import datetime as dt
from copy import copy

## 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)

## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
   <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
   <script src="http://colineberhardt.github.io/d3fc/Layout.js"></script>
   <script src="http://colineberhardt.github.io/d3fc/d3fc.js"></script>
   <link href="http://colineberhardt.github.io/d3fc/d3fc.css" rel="stylesheet"/>
   <link href="style.css" rel="stylesheet"/>
  </head>
<body>
	import requests, wget
	import pandas as pd
	df = pd.read_excel("Free+English+textbooks.xlsx")
	for index, row in df.iterrows():
	# loop through the excel list
	file_name = f"{row.loc['Book Title']}_{row.loc['Edition']}".replace('/','-').replace(':','-')
	url = f"{row.loc['OpenURL']}"
	r = requests.get(url)
	download_url = f"{r.url.replace('book','content/pdf')}.pdf"
	wget.download(download_url, f"./download/{file_name}.pdf")
	"""
	A bare bones examples of optimizing a black-box function (f) using
	Natural Evolution Strategies (NES), where the parameter distribution is a
	gaussian of fixed standard deviation.
	"""

	import numpy as np
	np.random.seed(0)

	# the function we want to optimize
	That's it - I've finally lost it with Linksys and both my WRT 1900ACs that are only a year old are getting chucked. Don't get me started on all the reasons why, but it's primarily down to continued degradation of wifi signal and the constant need for reboots. Going by the responses to this tweet, that's just what they do: https://twitter.com/troyhunt/status/778867707655487488

	I’m going all out with Ubiquiti instead. No, I'm not interested in [insert the other thing you think rocks here], there's a really vocal majority in favour of Ubiquiti so that's that. Now I need help speccing out what I need for my house as it’s not quite as straight forward as just chucking in a couple of (dodgy) routers.

	Here’s what I’m working with:
	- Large multi-level house about 500m2 (needs at least 2 APs, probably more)
	- Wired ethernet to every room (I believe Cat 5e, was here when I got here)
	- Patch board in the garage and a 100Mbps hub (running patch cables out to a Linksys 8 port gigabit switch instead)
	- 4 wired connection
	# -- coding: utf-8 --

	import time
	t0 = time.clock()

	import pandas as pd
	from pandas.tseries.offsets import BDay
	import numpy as np
	import datetime as dt
	from copy import copy
	"""
	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)
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
	<script src="http://colineberhardt.github.io/d3fc/Layout.js"></script>
	<script src="http://colineberhardt.github.io/d3fc/d3fc.js"></script>
	<link href="http://colineberhardt.github.io/d3fc/d3fc.css" rel="stylesheet"/>
	<link href="style.css" rel="stylesheet"/>
	</head>
	<body>