Jul-12-2019, 09:46 AM
One good practice is to take advantage Python built-in help.
If you read this it's quite obvious that you can optimize you solution. Add start to range, convert to list and return:
There is append which seems promising name. Using help let's find out what it does:
Your compliant code could look like:
>>> help(range) Help on class range in module builtins: class range(object) | range(stop) -> range object | range(start, stop[, step]) -> range object | | Return an object that produces a sequence of integers from start (inclusive) | to stop (exclusive) by step. range(i, j) produces i, i+1, i+2, ..., j-1. | start defaults to 0, and stop is omitted! range(4) produces 0, 1, 2, 3. | These are exactly the valid indices for a list of 4 elements. | When step is given, it specifies the increment (or decrement). | | Methods defined here: /.../To exit help press 'q'.
If you read this it's quite obvious that you can optimize you solution. Add start to range, convert to list and return:
>>> def natural(n): ... return list(range(1, n+1)) ... >>> natural(5) [1, 2, 3, 4, 5]However, your assignment states: 'You will need to create an empty list, add the numbers one by one, and return the list'. I have no idea, is it just a hint or requirement. To be in compliance with this you should start with empty list and then add numbers to that list:
def natural(n): nums = list() # code to add numbers return numsIn solving this task you can try next built-in feature. You have list and you want to do something with it. To find out what can be done with lists:
>>> list. # two times tab list.append( list.copy( list.extend( list.insert( list.pop( list.reverse( list.clear( list.count( list.index( list.mro( list.remove( list.sort(
There is append which seems promising name. Using help let's find out what it does:
>>> help(list.append) Help on method_descriptor: append(self, object, /) Append object to the end of the list. (END)You can use this to append nums to list. But how to do it? You have to loop through all numbers in range and add it one by one. You should have some prior information what to look for and you have answer at your fintertips (built-in):
>>> help('for') The "for" statement ******************* The "for" statement is used to iterate over the elements of a sequence (such as a string, tuple or list) or other iterable object: for_stmt ::= "for" target_list "in" expression_list ":" suite ["else" ":" suite] The expression list is evaluated once; it should yield an iterable object. An iterator is created for the result of the "expression_list". The suite is then executed once for each item provided by the iterator, in the order returned by the iterator. Each item in turn is assigned to the target list using the standard rules for assignments (see Assignment statements), and then the suite is executed. When the items are exhausted (which is immediately when the sequence is empty or an iterator raises a "StopIteration" exception), the suite in the "else" clause, if present, is executed, and the loop terminates. A "break" statement executed in the first suite terminates the loop without executing the "else" clause’s suite. A "continue" statement executed in the first suite skips the rest of the suite and continues with the next item, or with the "else" clause if there is no next item. The for-loop makes assignments to the variables(s) in the target list. This overwrites all previous assignments to those variables including those made in the suite of the for-loop: for i in range(10): print(i) i = 5 # this will not affect the for-loop # because i will be overwritten with the next # index in the range Names in the target list are not deleted when the loop is finished, but if the sequence is empty, they will not have been assigned to at all by the loop. Hint: the built-in function "range()" returns an iterator of integers suitable to emulate the effect of Pascal’s "for i := a to b do"; e.g., "list(range(3))" returns the list "[0, 1, 2]". Note: There is a subtlety when the sequence is being modified by the loop (this can only occur for mutable sequences, e.g. lists). An internal counter is used to keep track of which item is used next, and this is incremented on each iteration. When this counter has reached the length of the sequence the loop terminates. This means that if the suite deletes the current (or a previous) item from the sequence, the next item will be skipped (since it gets the index of the current item which has already been treated). Likewise, if the suite inserts an item in the sequence before the current item, the current item will be treated again the next time through the loop. This can lead to nasty bugs that can be avoided by making a temporary copy using a slice of the whole sequence, e.g., for x in a[:]: if x < 0: a.remove(x) Related help topics: break, continue, while (END)All information is available inside Python. You just need to learn to use it.
Your compliant code could look like:
def natural(n): nums = list() for i in range(1, n + 1): nums.append(i) return numsAs for your second task you could think about this feature decribed in range help: "When step is given, it specifies the increment (or decrement)"
I'm not 'in'-sane. Indeed, I am so far 'out' of sane that you appear a tiny blip on the distant coast of sanity. Bucky Katt, Get Fuzzy
Da Bishop: There's a dead bishop on the landing. I don't know who keeps bringing them in here. ....but society is to blame.
Da Bishop: There's a dead bishop on the landing. I don't know who keeps bringing them in here. ....but society is to blame.