dotPoint = text.index(“.”) atPoint = text.index(“@”) firstPart = text[0:dotPoint] secondPart = text[dotPoint+1:atPoint] print firstPart print secondPart This will output bianca mary There you go. On Python 2.7 🙂 2 solved Slicing in Python, one part of string
In Python, indentation is crucial. After each :, you must indent at least at the next line so the interpreter understands the line belongs to the block. if month * day == year: print (‘The date is magic!’) else: print (‘The date is not magic.’) I suggest you to gather more information on how indents … Read more
Ok, let’s assume we have a dataframe data and list negative_words like this: data = pd.DataFrame({ ‘Tweets’ : [‘This is bad’, ‘This is terrible’, ‘This is good’, ‘This is great’], }) negative_words = [‘bad’, ‘terrible’] We can then do something like: 1) We can use a lambda function with any: # create lambda with any: … Read more
Selenium treats frames as separated pages (because it has to load it separatelly) and it doesn’t search in frames. And page_source doesn’t return HTML from frame. You have to find <frame> and switch to correct frame switch_to.frame(..) to work with it. frames = driver.find_elements_by_tag_name(‘frame’) driver.switch_to.frame(frames[0]) import urllib from bs4 import BeautifulSoup from selenium import webdriver … Read more
As i said in my comment its never a good idea to role your own security functions as security is a complex space and should be left to professionals. however you said this is just for your own training / learning so below is an example of your code but modified to work. This is … Read more
There is the working code quiz_scores = { ‘Corbin’: [92, 66, 88, 91, 100, 95, 94], ‘Kevin’: [100, 99, 100, 98, 95, 98, 99], ‘Hannah’: [79, 67, 78, 81, 70, 55, 74], ‘Ben’: [94, 88, 85, 100, 91, 79, 88], ‘Yasaswini’: [99, 90, 88, 91, 89, 95, 94], ‘Veda’: [79, 97, 88, 82, 70, 95, … Read more
You can read the file and then filter it. with open(“file.txt”) as f: f.readlines() lines = [x.strip() for x in f][2::5] 2 solved How to skip the first two lines of a file and read those lines that are multiple of 5 [closed]
Since the keys aren’t necessarily consecutive, the best way I can think of would be this: items = sorted(d.items()) dict(enumerate([‘ ‘.join(b for a, b in items[:3])] + [b for a, b in items[3:]])) Here’s a demo. 9 solved Collapsing dict keys into one key: Python [closed]
Your findall(‘CRC-START(.*?)CRC-END’, PIDFile.read(), re.S) on line 202 didn’t find anything, PID didn’t get declared, boom, UnboundLocalError. This happens because python interpreter makes a preliminary pass on the code, marking encountered variables as local, but it does not (and cannot) check if code that declares them will actually be executed. Minimal reproducible example of that effect … Read more
If you wanted to measure the number of full weeks between two dates, you could accomplish this with datetime.strptime and timedelta like so: from datetime import datetime, date, timedelta dateformat = “%Y-%m-%d” date1 = datetime.strptime(“2015-07-09”, dateformat) date2 = datetime.strptime(“2016-08-20”, dateformat) weeks = int((date2-date1).days/7) print weeks This outputs 58. The divide by 7 causes the number … Read more
The cure is quite obvious: make your __str__ method return a string, not a Person instance. 3 solved getting __str__ returned non-string (type Operator) in django
I assume X and Y can’t begin with 0. [1-9]\d{0,2} matches a number from 1 to 3 digits that doesn’t begin with 0. So the regexp to extract X and Y should be: ^([1-9]\d{0,2})000([1-9]\d{0,2})000$ Then you can use re.sub() to remove the zeroes between X and Y. regex = re.compile(r’^([1-9]\d{0,2})000([1-9]\d{0,2})000$’); i = 14000010000 istr = … Read more
I think the problem is the assignment equation = eqn. Since eqn is a list, it is a mutable and thus passed as a reference, when you assign a mutable, the variable actually contains a pointer to that object. This means that equation and eqn are the same list. You should from copy import deepcopy … Read more
Your most versatile function for matrix multiplication is torch.einsum: it allows you specify the dimensions along which to multiply and the order of the dimensions of the output tensor. In your case it would look like: dot_product = torch.einsum(‘bij,bj->bi’) solved How to perform multiplication along axes in pytorch?
Your expressions return false so number is not defined. add number = ” string is not equal to a number.” before the expression. I think your trying to get a number value for each character? you should be comparing if the value of alphabet equals a given string, then assigning a numerical value to number. … Read more