Search results for "python"
mobi, azw3, epub, pdf |eng | 2017-12-22 | Author:Eric Chou
We gather network data for the purpose of gaining insight into our network. One of the best ways to know what the data means is to visualize them with graphs. ...
( Category:
Networking & Cloud Computing
February 8,2018 )
mobi, epub |eng | 2017-12-13 | Author:Burkhard A. Meier
# Button callback def click_me(self): self.action.configure(text='Hello ' + self.name.get()) bq.write_to_scrol(self) sleep(2) html_data = url.get_html() print(html_data) self.scrol.insert(tk.INSERT, html_data) The HTML data is now displayed in our GUI widget: GUI_URL.py How it ...
( Category:
Computers & Technology
February 8,2018 )
epub, mobi, pdf |eng | 2015-08-26 | Author:Muhammad Yasoob Ullah Khalid [Khalid, Muhammad Yasoob Ullah]
The optional argument allows us to tell enumerate from where to start the index. You can also create tuples containing the index and list item using a list. Here is ...
( Category:
other
February 3,2018 )
azw3 |eng | 2017-05-04 | Author:Robert Layton [Layton, Robert]
The difference in this graph compared to the previous graph is that the edges determine the similarity between the nodes based on our similarity metric and not on whether one ...
( Category:
Software
January 28,2018 )
epub, pdf |eng | 2017-10-02 | Author:Ajay Ohri
5.1.1 OLS Ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model, with the goal of minimizing the differences ...
( Category:
Programming Languages
January 27,2018 )
epub |eng | | Author:Sandeep Nagar
6.12 Masking Arrays can be indexed using the method of masking. Masking is a way to define the indexes as a separate object and then generate a new array from ...
( Category:
Programming Languages
January 27,2018 )
epub, mobi, pdf |eng | 2018-01-25 | Author:Al Sweigart
The hackAffine() function begins on line 25 and contains the code for decryption. It starts by printing some instructions for the user: 25. def hackAffine(message): 26. print('Hacking...') 27. 28. # ...
( Category:
Security & Encryption
January 25,2018 )
epub |eng | | Author:Unknown
How it works... A quick high-level run-through of what is going on here at the beginning should help clear the air. We have four functions and nine variables within our ...
( Category:
other
January 23,2018 )
azw3, mobi |eng | 2015-04-10 | Author:By Brad Dayley
MySQL_create.py (('arrivals',),) (('city', 'text', 'YES', '', None, ''), ('flight', 'text', 'YES', '', None, ''), ('time', 'text', 'YES', '', None, '')) Output from MySQL_create.py code Adding Entries to a MySQL Database ...
( Category:
other
January 21,2018 )
epub |eng | | Author:Phillip Johnson
Raising Exceptions Intentionally It may seem counter-intuitive at first, but there are some scenarios where we actually want to cause an exception to be raised. We usually do this when ...
( Category:
Programming
January 20,2018 )
epub |eng | | Author:Deepak Sarda
>>> get_evens = make_function('even') ③ >>> print get_evens(range(10)) [0, 2, 4, 6, 8] 1.We called make_function with odd as the parity parameter value, and it returns to us a function ...
( Category:
Programming Languages
January 18,2018 )
azw3, pdf |eng | 2016-06-23 | Author:Prateek Joshi [Joshi, Prateek]
If you want to split these punctuations into separate tokens, then we need to use WordPunct Tokenizer:# Create a new WordPunct tokenizer from nltk.tokenize import WordPunctTokenizer word_punct_tokenizer = WordPunctTokenizer() print ...
( Category:
Programming Languages
January 15,2018 )
azw3 |eng | 2016-07-29 | Author:Combs, Alexander [Combs, Alexander]
3 0 .1761 0 0 0 .4471 Why do all of this? To obtain a high tf-idf value, a term would need to have a high number of occurrences in ...
( Category:
Programming
January 15,2018 )
epub, pdf |eng | | Author:Unknown
So in Theano, our first filter has the dimensions “num_feature_maps”, which you can think of as the number of kernels or filters we are going to create, then it has ...
( Category:
other
January 15,2018 )
azw3 |eng | 2016-11-22 | Author:unknow
And now we can use it on the part-of-speech tagged version of the terrible movie: >>> from transforms import filter_insignificant >>> filter_insignificant([('the', 'DT'), ('terrible', 'JJ'), ('movie', 'NN')]) [('terrible', 'JJ'), ('movie', ...
( Category:
other
January 15,2018 )
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