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So now let us move on to the removing known later characters know certain characters such as numbers

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or punctuation marks, will cause overvote detection to feel because words won't look exactly as they

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are spelled in our dictionary fight.

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For example, see if you have the last word, as you find that is you don't.

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And we didn't remove the dot at the end of the string so it wouldn't be counted as an English word because

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you that is vital.

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You always dealt with the period in a dictionary.

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So to avoid such misinterpretations, numbers and punctuation marks needs to be removed.

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OK, so the previously explained our Get English word count function calls the function remove known

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letters is now on a string to remove any number and punctuation characters from it.

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So if we look at the removal on letter astar, which takes a message start as a parameter, OK, yachties

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letters only Astana's blank dictionary of the blank list.

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Then from symbol one in the message Istria if symbol one in the letters in space hestia.

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We are saying that those onliest append symbol one.

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OK, now over here we are creating a blank list that goes on last year and after which we use a for

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loop to loop over each character in the message is an argument and next before loop checks, whether

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the character exists in the string letters and this is then we check if the character is a number or

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a punctuation mark.

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OK, if it won't exist in letters and space is the string and will be added to the list if the character

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doesn't exist in the string, it's added to the end of the list using the method over here.

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OK, now let's have a look at next.

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That is the append the list method.

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OK, now when we add a value to the end of the list, we are appointing a value to the list in that

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case.

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So this is done with list so frequently in Python that they didn't append the list method that takes

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a single argument to obtain to the end of the list.

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Now, for example, just to check this up in Matorin, the interactive shall, if we go back here and

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here, we create a list, one that's equal to blank.

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OK, after this, we are seeing list one dot of pink and we give civil fighting within the last one,

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it brings the value that is vital.

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Again, we see at least one dot up and here we are hacking.

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And again, we see that in the value of list one.

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So it Prince Python and then hacking that was added.

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So after we have created an empty list, name the last one we can enter to list one dot up in a particular

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string to add a string value to the list.

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Then we can enter again, list one to return the value stored in business, which is right now Python.

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If you again use append to the list one to at the end of the list.

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Now list one, we are getting Python and hacking both.

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So similarly, we also use the only method to add the items to the letters only SDR list we created

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in our code earlier.

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OK, so whenever we select those only as append and assemble one in the line, it basically goes on

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upending the values, then succumbing to creating a string of letters.

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Let's go back to our program here.

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And after finishing the loop over here, that is in removing all Asgeir and the append one after this.

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OK, now letters onliest should be a list for each letter.

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And this character from the original message is now because a list of one character string isn't useful

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for finding the English word.

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We have joined the character string in the letters on Steer into one string and Rutan's that so that

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we have Poolesville written or blank, then go to join letters only now to concatenate the list items

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in letters only a year into one lobstering we call the joint string Martorell LeBlanc's string that

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is open plus single apostrophe and this joins the string in the letters only start with a blank string

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between them and this string value is then returned as a remove non letter SDR functions return value.

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OK, now coming to the dictating English votes or detecting English words.

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Now when a message is encrypted, all of which is decrypted OK with a Ronke, it will often produce

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far more non letter and non space, correct?

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Those that are found in a typical English message.

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All the votes it produces will often be random and not found in the dictionary of English words.

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So if we go for a definition of is English check function, we can check for both of these issues in

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the given strength, not here in this function.

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We have created this or set up this to accept the strong argument that this message is suggestion and

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return a boolean value of proof when the string is English text and when it is not.

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Now this function has three parameters.

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One is messages are verbose and SDR that is 20 and letterboxing, which is eighty five.

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And the first parameter contains a string Kubitschek second and third parameter set default percentages

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for votes and letters which the string must contain in order to be confirmed as English.

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OK, now a percentage is just a number between zero one hundred.

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That shows how much of something is a proportional to total number of those things.

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So we'll explore how to use this default arguments and calculate percentage in the polling station now.

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Now, using the default argument, sometimes a function will always have the same values pass to it

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when it is scored instead of including these.

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For every function call, you can specify a default argument in the functions definition statement itself.

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Like here we have defined three parameters with default arguments of twenty and eighty five provided

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for four percent a year and Letha percent respectively.

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Now this is English check function.

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Can we call with one, two, three arguments?

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If no arguments are parsed for one percent or two percent a year, then the values assigned to these

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parameters will be the default arguments.

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OK, now the default arguments defined what percent of the message ASDF string needs to be made up of

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real English votes for is English.

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All these English to predetermine that message just yet is an English string.

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And what percent of message needs to be made up of Letrozole spaces instead of numbers or punctuation

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marks?

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For example, if is English check is called with only one argument before arguments are used for four

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percent, which means twenty percent of string needs to be made up of English words and eighty five

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percent of the string needs to be made up of letters.

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Now, these percentages work for detecting your English in most cases, but you might.

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I want to try a document combinations in specific cases, one is English, which is basically called

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needs some more losers, more restrictive tests.

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So in those situations, a program can just pass arguments for even four percent this year and let the

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person this year instead of using the default ones.