Learning Python — Part 2

Forewords

Yan Cui
theburningmonk.com
6 min readMar 19, 2011

--

A while back I decided to try and learn Python for the hell of it as it seems like an interesting language and has some of the most concise and user-friendly syntax. Having spent some time going through a number of different learning sources and materials (like the official site python.org which has a very helpful tutorial section) I have put together a set of notes I made as I was learning and hopefully they can be useful to you as a quick list of how-to code snippets.

All the code snapshots I’m showing here are taken from the IDLE Python shell.

Lists

To create a new list:

clip_image001

Lists are NOT immutable:

clip_image002

Use the in keyword to check whether an element is in the specified list:

clip_image003

Nesting lists:

clip_image004

The min and max functions:

clip_image005

The list function — you can use the list() function to convert a tuple to a list:

clip_image006

Element values of a tuple cannot be changed and tuple elements are put between parenthesis instead of square bracket:

clip_image007

Deleting an item from list:

clip_image008

or you can use the remove() function:

clip_image009

Replace portion of list with slicing:

clip_image010

Insert a list into another list with slicing:

clip_image011

Delete a portion of list with slicing:

clip_image012

Appending to a list by using simple concatenation:

clip_image013

or use append or extend, the difference being append adds a single element to the list where as extend works like the concatenation above.

clip_image014

now compare this to extend:

clip_image015

Like in Javascript, you can use a list like a stack (FILO) too:

clip_image016

You can also use a list as a queue (FIFO) using the collections.deque function:

clip_image017

Sorting a list:

clip_image018

you can do the same to a string too using the sorted function:

clip_image019

To construct an empty tuple:

clip_image020

To construct a tuple with a single item:

clip_image021

You can unpack a tuple or list (like the pattern matching in F#):

clip_image022
clip_image023

There must be the same number of elements on the left as the tuple on the right:

clip_image024

Use the range() function to generate a range of integers:

clip_image025

Use the filter() function to filter a list:

clip_image026

Use the map() function to project a sequence’s items to something else:

clip_image027

you can also use it like the zip() method in F# by passing in multiple sequences:

clip_image028

if the lists are not of equal length, None is used to fill in the gap:

clip_image029

Use the reduce() function to return a single value from a list of element, e.g. to sum the numbers 1–4:

clip_image030

you can also pass in a third argument to indicate the starting value of the accumulator:

clip_image031

You can remove an item from a list using its index with the del statement:

clip_image032

note that del statement doesn’t return any values.

You can also use it to delete the entire list or part of the list:

clip_image033

or to delete the variable itself:

clip_image034

List comprehensions (similar to those in F#):

clip_image035

If the result is a tuple, then it must be parenthesized:

clip_image036

You can add additional filters:

clip_image037

Or you can have a loop inside another loop:

clip_image038

Nested List Comprehensions, e.g. to turn the columns of a matrix into rows:

clip_image039

remember, read nested comprehensions from right to left!

Nested comprehensions is a powerful tool but adds complexity, where possible, use built-in functions. E.g. the above can be done using zip():

clip_image040

When looping through a sequence, the position index and corresponding value can be retrieved at the same time using the enumerate() function:

clip_image041

You can also use zip() function to loop over two or more sequences at the same time:

clip_image042

--

--

Yan Cui
theburningmonk.com

AWS Serverless Hero. Follow me to learn practical tips and best practices for AWS and Serverless.