Decorators are handy sugars for Python programmers to shorten things and provides more concise programming.
For instance you can use decorators for user authentication for your REST API servers. Assume that, you need to auth. the user for before each REST calls. Instead of appending the same procedure to each call function, it is better to define decorator and tagging it onto your call functions.
Let's see the small example below. I hope it is self-descriptive.
How to use Decorators:
Decorators are functions called by annotations
Annotations are the tags prefixed by @
### Decorator functions ###
print "Hello Space!"
print "Hello Cosmos!"
@helloCosmos # annotation
@helloSpace # annotation
print "Hello World!"
### Above code is equivalent to these lines
# hello = helloSpace(hello)
# hello = helloCosmos(hello)
### Let's Try
Especially, with the advent of many different and intricate Machine Learning algorithms, it is very hard to come up with your code to any problem. Therefore, the use of a library and its choice is imperative provision before you start the project. However, there are many different libraries having different quirks and rigs in different languages, even in multiple languages so that choice is not very straight forward as it seems.
Before you start, I strongly recommend you to experiment the library of your interest so as not to say " Ohh Buda!" at the end. For being a simple guide, I will point some possible libraries and signify some of them as my choices with the reason behind.
Python is a very bright language that is used by variety of users and mitigates many of pain.
One of the core functionality of Python that I frequently use is multiprocessing module. It is very efficient way of distribute your computation embarrassingly.
If you read about the module and got used, at some point you will realize, there is no way proposed to pass multiple arguments to parallelized function. Now, I will present a way to achieve in a very Pythonized way.
For our instance, we have two lists with same number of arguments but they need to be fed into the function which is pooling.
Here we have self cover code:
As a rusty researcher at coding, I spend some to revise my algorithm knowledge. At some part, I coded basic sorting algorithms in Python as a good and concise practice (even the result is not very efficient as C or C++). However you would like to check the code and clean up your memory or edit the code in some efficient manner. Continue reading Fundamental Sort Algorithms in Python
Here is one again a very intricate problem from Project Euler. It has no solution sheet as oppose to the other problems at the site. Therefore there is no consensus on the best solution.
Below is the problem: (I really suggest you to observe some of the example sequences. It has really interesting behaviours. 🙂 )
The following iterative sequence is defined for the set of positive integers:
n n/2 (n is even)
n 3n + 1 (n is odd)
Using the rule above and starting with 13, we generate the following sequence: Continue reading Project Euler - Problem 14
Here we have another qualified problem from Project Euler. You might want to work out the problem before see my solution.
The basic idea of my solution is to not use all the digits of the given numbers, instead extract the part of the each number that is necessary to sum up to conclude the first 10 digits of the result. I try to explain my approach at the top of the source code with my lacking MATH english. If you have any problem for that part please leave me a comment. Continue reading Project Euler - Problem 13
As a 2 years researcher, I feel a bit rusty to code. I search a good set of execises to hone my abilities again and I stumbled upon Project Euler. This site hosts increasing number of very well formed algorithmic problems and discussions. It ranges very basic problems to very high level ones, requiring profound knowledge and practice.
After that intro. I want to introduce one of the example question from Project Euler. NOTE THAT, IF YOU ALREADY KNOW THE SITE AND YOU TRY TO SOLVE THAT PROBLEM, DO NOT CHEAT YOURSELF.
Here is the problem statement we try to solve. Continue reading Project Euler - Problem 12
In case you use many modules all together, it is hard to keep track of latest versions and the requisite updates. Therefore using such a little command regular might be useful.
pip install pip-tools
$ pip-review --interactive
After some time, you observe that all the packages are updating.
Here there is a simple class implementation of Two way Dictionary that uses from native dictionary class of Python. The main idea of that kind of data structure to reach, but side of the data by using other side as the key. It is like bi-directional relation between items.
A dumb use case:
d = TwoWayDict()
d['erogol'] = 13
# outputs 13
# outputs erogol
Here is the class implementation. However, keep in mid that this class uses more x2 memory to keep the data with that functionality.
return dict.__len__(self) / 2
def __setitem__(self, key, value):
dict.__setitem__(self, key, value)
dict.__setitem__(self, value, key)
Hope this helps in some hinge 🙂