--Originally published at Hector Martinez Alcantara

If you want to use a  function in other program, you can script it, it’s easy to use it in other program just importing the module. But, what’s importing , and what’s a module?

If you wanto to do your own module, you have to do this:

def function(optionalvalue):
     #Here's what you want to do
     #return a value

Yes, is like doing a simple function, then save it with the extension .py and save it in the current directory.

A module is like a script where you define some functions, and importing is the action when you want to use it, and you take it from the other script to your script.

You can import a function typing this:

#To import all the package
import module
#Or
from package import *

It’s that easy, but if you have a module in a package and you dont want to import all the package, you can specify what module and/or function you want to import.

If you want to do it specific, you have to type something like this:

#To import specific function
import package.module.function
#Or
from package.module import funcion

There’s much libraries (modules) that python also provides, apart of the standard library. The standard library is the library that contents the most basic functions you use in the program.

To import other modules is the same process like you do with your own modules, but, with other names, obviously.

There’s a index of some default python modules.

datetime    Basic date and time types.
math           Mathematical functions (sin() etc.).
decimal      Implementation of the General Decimal Arithmetic Specification.
difflib         Helpers for computing differences between objects.
enum          Implementation of an enumeration class.
errno          Standard

Continue reading "Modules/Libraries in python" →

--Originally published at Hector Martinez Alcantara

Hey there, i’m going to explain how to create and use functions in python 3. First, a function is a process that repeats several times and to reuse code, you use a function.

In the next example we can see a definition of a function:

def Litleman(Amaterial):
   print(' 0')
   print(' /T\\')
   print(' /\\')
   drawing= 'A man of '+ Amaterial
   return drawing

The word def inicates that we’re creating a function, then you put the name of the function, and in parenthesis a parameter of any type, which is a variable that will be used in the function, finally, you put the word return, to get back in the code, you can return a parameter.

Here is an example of how to cal a function:

Littleman('Steel')

It’s very simple, you call a function by it’s name with parenthesis at the end, and in the parenthesis you can introduce a parameter like the example above.

Here’s an example of the result of the function:

Littleman('Steel')
  0
 /T\
 /\
'Its a man of Steel'

It’s very simple right?

Now you know how to create and use functions!

Thanks for reading, have fun!

Special thanks to Barron stone on Programming fundamentals in real life from lynda.com

 

--Originally published at Hector Martinez Alcantara

In this post we’re going to see the basic types of variables we can have in python 3.

Number: These are created by assigning a value to a variable, there are diferent types that python support automatically they are:

• int (signed integers)
• long (long integers, they can also be represented in octal and hexadecimal)
• float (floating point real values)
• complex (complex numbers)

Example of Numbers:

var=5 #integer
var=5.5 #float
var=555555555L #The letter L is to long numbers
var=5.55e-34j #Complex numbers have a j that's the imaginary unit

String: They are arrays of characters that are usually words or sentences.

They’re variables that saves sentences, that are usually shown in the screen or will be transformed to be shown in the screen.

Example of Strings:

var='Hello, I love tacos'

List: The lists are like arrays of diferent or common types of variables, the lists can be updated whenever you want, and can be enlarged.

Lists are often used as lists (even the word say it).

Example of List:

var=['Hello',5,'another thing',5.5]

Tuple: They are arrays of diferent or common types of variables, but ulike lists, the tuples can’t be updated, and are only one length.

Tuples are often used as normal arrays.

Example of Tuple:

var=('Hello',5,'another thing',5.5)

Dictionary: They are arrays of diferent or common types of variables but unlike tuples and lists every space in the array can be named diferent.

They are often used as tables (like the tables in databases).

Example of Dictionary:

var = {'a string': 'Hello','an integer': 5, 'a float': 5.5}

Now you feel like…

Thanks for reading.

Special thanks to Tutorials point Python Variable Types

--Originally published at Hector Martinez Alcantara

The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

What’s this for me?

Its an ideal form of programming not only to python, for all the languages, but it’s very ideal, you often have to use other methods to do a code, usually because of the time.

The problem maybe it’s not very difficult to solve with the zen of python, but the time is running out and other solutions solve the problem easily and quickly, so you have to finish it.

Thats my opinion, tan tan.

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