This tutorial will walk you through installing modules, importing modules, and aliasing modules. Modules are Python.py files that consist of Python code. They can create function definitions and statements that you can reference in other Python.py files or via the Python command line interpreter. How to download and install Python Packages and Modules with Pip As time has passed, various installation methods have prevailed. Currently, as of Jan 2015, I would most recommend the use of pip, since almost all packages that you will hear about will be available via pip. Sep 24, 2015 - Its only dependency is the excellent python-magic library for mime type guessing. It works on Python 3. $ pip install python-parrot. How to list all installed python modules March 9, 2013 by Sharad Chhetri 1 Comment To know what are the python modules installed in system.Use the given below command. ![]() I need to find and copy those words that appears over 5 times on a given website using Python 3 code and I'm not sure how to do it. I've looked through the archives here on stack overflow but other solutions rely on python 2 code. Here's the measly code I have so far: from urllib.request import urlopen website = urllib.urlopen('Does anyone have any advice on what to do? I have NLTK installed and I've looked into beautiful soup but for the life of me, I have no idea how to install it correctly (I'm very python-green)! As I am learning, any explanation would also be very much appreciated. This is not perfect but an idea of how to get you started using, and import requests from bs4 import BeautifulSoup from collections import Counter from string import punctuation r = requests.get('soup = BeautifulSoup(r.content) text = ('.join(s.findAll(text=True))for s in soup.findAll('p')) c = Counter((x.rstrip(punctuation).lower() for y in text for x in y.split())) print (c.most_common()) # prints most common words staring at most common. ![]() [('the', 279), ('and', 192), ('in', 175), ('of', 168), ('his', 140), ('a', 124), ('to', 103), ('mozart', 82), ('was', 77), ('he', 70), ('with', 53), ('as', 50), ('for', 40), ('mozart's', 39), ('on', 35), ('from', 34), ('at', 31), ('by', 31), ('that', 26), ('is', 23), ('k.' , 21), ('an', 20), ('had', 20), ('were', 20), ('but', 19), ('which'.. ![]() I'd do it like this: • Install BeautifulSoup, which is explained. • You need these imports: from bs4 import BeautifulSoup import re from collections import Counter • Grab the visible text on the site with BeautifulSoup, which is explained on stackoverflow. • Get a list lst of words from the visible text with re.findall(r' b w+', visible_text_string) • Convert every word to lower-case lst = [x.lower() for x in lst] • Count the occurrences of each word and make a list of (word, count) tuples. Counter = Counter(lst) occs = [(word,count) for word,count in counter.items() if count > 5] • Sort occs by occurence: occs.sort(key=lambda x:x[1]). So, this is coming from a newbie, but if you just need a quick answer, I think this might work. Please note that with this method, you cannot just put in the URL with the program, you have to manually paste it in the code. Text = ''INSERT TEXT HERE''.split() #Where you see 'INSERT TEXT HERE', that's where the text goes. #also note the.split() method at the end. This converts the text into a list, splitting every word in between the spaces. #for example, 'red dog food'.split() would be ['red','dog','food'] overusedwords = [] #this is where the words that are used 5 or more times are going to be held. For i in text: #this will iterate through every single word of the text if text.count(i) >= 5 and overusedwords.count(i) == 0: #(1. Carminat tomtom live map cracker. Read below) overusedwords.append(i) #this adds the word to the list of words used 5 or more times if len(overusedwords) > 0: #if there are no words used 5 or more times, it doesn't print anything useless. Print('The overused words are:') for i in overusedwords: print(i) else: print('No words used 5 or more times.' ) #just in case there are no words used 5 or more times For the explanation of the 'text.count(i) >= 5 part. For every time it iterates through the for loop, it checks to see if there are five or more of that specific word used in the text. Then, for 'and overusedwords.count(i) == 0:', this just makes sure that the same word isn't being added twice to the list of overused words. Hope I helped. I'm thinking that you might have wanted a method where you could get this information straight from typing in the url, but this might help other beginners that have a similar question. I am trying to migrate from pymambo into pyparrot, but I having troubles. I have the same problem as ecamodeo. I went through the BLE connection steps. I had some problems with the path, but I moved all the modules to target directory and solve the problem. I seems that everything is find, but when I run the demoMamboTricks.py I got the error: ERROR: you are trying to use a BLE connection on a system that doesn't have BLE installed. Python Add Module![]() Install Modules In Python WindowsI would appreciate if you could share an opinion about how can I solve this issue.
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