Introduction to Python/tr

Bu Python'a yeni başlayanlar için kısa bir rehberdir. Python, açık kaynaklı, çoklu bir platformdur programlama dili. Python, onu diğer yaygın programlama dillerinden çok farklı kılan ve sizin gibi yeni kullanıcıların erişebildiği birçok özelliğe sahiptir:


 * Özellikle insanlar tarafından okunması kolay olacak şekilde tasarlandı ve bu yüzden öğrenmesi ve anlaması çok kolay.
 * Yorumlanır, yani C gibi derlenmiş dillerden farklı olarak, programınızın yürütülmeden önce derlenmesi gerekmez. İsterseniz yazdığınız kod, satır satır hemen çalıştırılabilir. Yavaş yavaş adım adım ilerleyebildiğiniz için, kodunuzdaki hataları öğrenmek ve hataları bulmak son derece kolaydır.
 * Kodlama dili olarak kullanılmak üzere diğer programlara gömülebilir. FreeCAD'in yerleşik bir Python yorumlayıcısı vardır; Python kodunu FreeCAD'e yazabilir, örneğin FreeCAD'in parçalarını değiştirebilir, örneğin geometri oluşturmak için. Bu, bazı programcıların kodladığı "küre yarat" etiketli bir düğmeyi tıklamak yerine, son derece güçlüdür; Programcının öngöremeyeceği şekilde veya istediğiniz şekilde tam olarak istediğiniz geometriyi oluşturarak kendi aracınızı kolayca oluşturma özgürlüğüne sahipsiniz.
 * Genişletilebilirdir, Python kurulumunuzdaki yeni modülleri kolayca takabilir ve işlevselliğini artırabilirsiniz. Örneğin, Python'un jpg görüntüleri okuyup yazmasına, twitter ile iletişim kurmasına, işletim sisteminiz tarafından gerçekleştirilecek görevleri zamanlamasına, vb. İzin veren modüllere sahipsiniz.

Aşağıdaki kod parçacıklarını bir Python yorumlayıcısına girmenizi kesinlikle öneririz. Tartışmalarımızın çoğu için önemli olan, pasajın çalıştırılmasından sonraki satırdır, ortaya çıkar. Kodu çalıştırmamak yumruk çizgisi olmadan tümüyle oluşturulur. Öyleyse eller! Aşağıdakiler çok basit bir giriştir ve hiçbir şekilde tam bir eğitim değildir. Ancak bizim umudumuz, bunun FreeCAD mekanizmalarını daha derinlemesine keşfetmek için yeterli temelleri sağlayacağıdır.

Yorumlayıcı
Genellikle, bilgisayar programları yazarken, sadece bir metin editörünü veya özel programlama ortamınızı (genellikle birkaç ek araç içeren bir metin editörüdür) açarsınız, programınızı yazıp derler ve çalıştırırsınız. Genellikle, kod yazma sırasında bir veya daha fazla hata yapıldı ise programınız çalışmayacaktır. Neyin yanlış gittiğini söyleyen bir hata mesajı bile alabilirsiniz. Ardından metin editörünüze döner, hataları düzeltir, tekrar çalıştırırsınız, programınız istenen şekilde çalışıncaya kadar tekrarlarsınız.

Python'daki bu işlem Python yorumlayıcısının içinde şeffaf bir şekilde yapılabilir. Yorumlayıcı, yalnızca Python kodunu yazabileceğiniz bir komut istemi içeren bir Python penceresidir. Bilgisayarınıza Python yüklerseniz (Windows veya Mac’te iseniz Python web sitesinden indirin, eğer Windows veya Mac’te iseniz, GNU / Linux’taysanız paket deponuzdan yükleyin) Başlat menünüzde bir Python yorumlayıcısı var. Ancak FreeCAD'in alt penceresinde bir Python yorumlayıcısı da vardır:



(Eğer bulamadıysanız, Görünüm -> Paneller -> Python konsolu'nu tıklayın.)

Yorumlayıcı, Python versiyonunu ve ardından Python kodunu girdiğiniz komut istemi olan >>> sembolünü gösterir. Yorumlayıcıya kod yazmak basittir: bir satır bir talimattır. Enter tuşuna bastığınızda, kod satırınız yürütülür (hemen ve görünmez bir şekilde derlendikten sonra). Örneğin, şunu yazmayı deneyin:

, açıkça ekranda bir şey yazdırmak için kullanılan özel bir Python anahtar kelimesidir. Enter tuşuna bastığınızda, işlem yürütülür ve "merhaba" mesajı yazdırılır. Bir hata yaparsanız, örneğin yazalım:

Python bize merhaba'yı bilmediğini söyleyecek. "Karakterler içeriğin sadece bir jargon, bir metin parçası olan bir dize olduğunu belirtir. " Olmadan, baskı komutu merhaba bir metin parçası değil, özel bir Python anahtar sözcüğüdür. Önemli olan, hemen bir hata yaptığınız konusunda bilgilendirilmenizdir. Yukarı okuna basarak (veya FreeCAD yorumlayıcısında, CTRL yukarı okunda) yazdığınız son komuta geri dönebilir ve düzeltebilirsiniz.

Python yorumlayıcı ayrıca dahili bir yardım sistemine sahiptir. Yazmayı deneyin:

veya örneğin, yukarıda basılan merhaba komutumuzda neyin yanlış gittiğini anlamadığımızı varsayalım, "baskı" komutu hakkında özel bilgiler istiyoruz:

Print komutunun yapabileceği her şeyin uzun ve eksiksiz bir açıklamasını alırsınız.

Artık yorumlayıcıya hükmettiğimize göre, ciddi şeylerle başlayabiliriz.

Değişkenler
Tabii ki, "merhaba" yazdırmak çok ilginç değil. Daha ilginç olanı, daha önce bilmediğiniz şeyler basmak ya da Python'un sizin için bulmasına izin vermek. Değişken kavramının devreye girdiği yer burasıdır. Bir değişken, yalnızca bir ad altında sakladığınız bir değerdir. Örneğin, şunu yazın:

Sanırım ne olduğunu anladınız, biz "merhaba" dizesini "a" adı altında "kaydettik". Şimdi, "a" artık bilinmeyen bir isim değil! Herhangi bir yerde, örneğin baskı komutunda kullanabiliriz. İstediğimiz herhangi bir ismi kullanabiliriz, sadece boşluk veya noktalama işareti kullanmama gibi basit kurallara uyun. Örneğin, şunu yazabiliriz:

Gördünüz mü? şimdi merhaba artık tanımsız bir kelime değil. Ya, kötü şansla, Python'da zaten var olan bir ismi seçersek? Dizimizi "print" adı altında saklamak istediğimizi varsayalım:

Python çok zeki ve bize bunun mümkün olmadığını söyleyecek. Değiştirilemeyen bazı "ayrılmış" anahtar kelimelere sahiptir. Ancak değişkenlerimiz her zaman değiştirilebilir, bu yüzden değişkenler olarak adlandırılır, içerikleri değişebilir. Örneğin:

We changed the value of myVariable. We can also copy variables:

Note that it is important to give meaningful names to your variables. After a while you won't remember what your variable named "a" represents. But if you named it, for example myWelcomeMessage, you'll easily remember its purpose. Plus your code is a step closer to being self-documenting.

Case is very important. myVariable is not the same as myvariable, the difference in the upper/lower case v. If you were to enter print myvariable it would come back with an error as not defined.

Numbers
Of course you must know that programming is useful to treat all kinds of data, and especially numbers, not only text strings. One thing is important, Python must know what kind of data it is dealing with. We saw in our print hello example, that the print command recognized our "hello" string. That is because by using the ", we told specifically the print command what follows next is a text string.

We can always check the data type of a variable with the special Python keyword type:

It will tell us the contents of myVar is 'str', short for string in Python jargon. We have also other basic types of data, such as integer and float numbers:

This is much more interesting, isn't it? Now we have a powerful calculator! Look at how well it worked, Python knows that 10 and 20 are integer numbers. So they are stored as "int", and Python can do with them everything it can do with integers. Look at the results of this:

See? We forced Python to consider that our two variables are not numbers but mere pieces of text. Python can add two pieces of text together, but it won't try to find out any sum. But we were talking about integer numbers. There are also float numbers. The difference is that integer numbers don't have decimal part, while float numbers can have a decimal part:

Int and Floats can be mixed together without problem:

Of course the total has decimals, right? Then Python automatically decided that the result is a float. In several cases such as this one, Python automatically decides what type to use. In other cases it doesn't. For example:

This will give us an error, varA is a string and varB is an int, and Python doesn't know what to do. However, we can force Python to convert between types:

Now both are strings, the operation works! Note that we "stringified" varB at the time of printing, but we didn't change varB itself. If we wanted to turn varB permanently into a string, we would need to do this:

We can also use int and float to convert to int and float if we want:

Note on Python commands

You must have noticed that in this section we used the print command in several ways. We printed variables, sums, several things separated by commas, and even the result of other Python command such as type. Maybe you also saw that doing those two commands,

have exactly the same result. That is because we are in the interpreter, and everything is automatically printed. When we write more complex programs that run outside the interpreter, they won't print automatically, so we'll need to use the print command. From now on, let's stop using it here, it'll go faster. So we can simply write:

You must have seen that most of the Python commands (or keywords) type, int, str, etc. have parenthesis to limit the command contents. The only exception is the print command, which in fact is not really an exception, as it also works normally: print("hello"). However, since it is used often, the Python designers allowed a simpler version.

Lists
Another interesting data type is a list. A list is simply a collection of other data. The same way that we define a text string by using " ", we define a list by using [ ]:

You see that it can contain any type of data. Lists are very useful because you can group variables together. You can then do all kinds of things within that group, for example counting them:

or retrieving one item of a list:

You see that while the len command returns the total number of items in a list, their "position" in the list begins with 0. The first item in a list is always at position 0, so in our myOtherList, "Bob" will be at position 2. We can do much more with lists, you can read here, such as sorting contents, removing or adding elements.

A funny and interesting thing: a text string is very similar to a list of characters! Try doing this:

Usually, what you can do with lists can also be done with strings. In fact both lists and strings are sequences.

Outside strings, ints, floats and lists, there are more built-in data types, such as dictionaries, or you can even create your own data types with classes.

Indentation
One big cool use of lists is also browsing through them and do something with each item. For example look at this:

We iterated (programming jargon) through our list with the "for ... in ..." command and did something with each of the items. Note the special syntax: the for command terminates with : indicating the following will be a block of one of more commands. In the interpreter, immediately after you enter the command line ending with :, the command prompt will change to ... which means Python knows that a colon ended line has happened and more is coming.

How will Python know how many of the next lines will be to be executed inside the for...in operation? For that, Python uses indentation. That is, your next lines won't begin immediately. You will begin them with a blank space, or several blank spaces, or a tab, or several tabs. Other programming languages use other methods, like putting everything inside parenthesis, etc. As long as you write your next lines with the same indentation, they will be considered part of the for-in block. If you begin one line with 2 spaces and the next one with 4, there will be an error. When you finished, just write another line without indentation, or simply press Enter to come back from the for-in block

Indentation is cool because it aids in program readability. If you use large indentations (for example use tabs instead of spaces because it's larger), when you write a big program you'll have a clear view of what is executed inside what. We'll see that commands other than for-in, can have indented blocks of code too.

For-in commands can be used for many things that must be done more than once. It can, for example, be combined with the range command:

(If you have been running the code examples in an interpreter by Copying and Pasting, you will find the previous block of text will throw an error. Instead, copy to the end of the indented block, i.e. the end of the line total = total + number and then paste to the interpreter.  In the interpreter issue an until the three dot prompt disappears and the code runs.  Then copy the final two lines into the interpreter followed by one or more The final answer should appear.)

If you would type into the interpreter help(range) you would see:

Here the square brackets denote an optional parameter. However all are expected to be integers. Below we will force the range parameters to be an integer using int

Or more complex things like this:

You see that the range command also has that strange particularity that it begins with 0 (if you don't specify the starting number) and that its last number will be one less than the ending number you specify. That is, of course, so it works well with other Python commands. For example:

Another interesting use of indented blocks is with the if command. If executes a code block only if a certain condition is met, for example:

Of course this will always print the first sentence, but try replacing the second line by:

Then nothing is printed. We can also specify an else: statement:

Functions
There are few standard Python commands. In the current version of Python, there are about 30, and we already know several of them. But imagine if we could invent our own commands? Well, we can, and it's extremely easy. In fact, most the additional modules that you can plug into your Python installation do just that, they add commands that you can use. A custom command in Python is called a function and is made like this:

(Another copy and paste error, only copy through the end of the indented section i.e. " square meters" Paste to the interpreter, and issue until the three dot prompt goes a way, then copy and paste the final line.)

Extremely simple: the def command defines a new function. You give it a name, and inside the parenthesis you define arguments that we'll use in our function. Arguments are data that will be passed to the function. For example, look at the len command. If you just write len alone, Python will tell you it needs an argument. That is, you want len of something, right? Then, for example, you'll write len(myList) and you'll get the length of myList. Well, myList is an argument that you pass to the len function. The len function is defined in such a way that it knows what to do with what is passed to it. Same as we did here.

The "myValue" name can be anything, and it will be used only inside the function. It is just a name you give to the argument so you can do something with it, but it also serves to tell the function how many arguments to expect. For example, if you do this:

There will be an error. Our function was programmed to receive just one argument, but it received two, 45 and 34. We could instead do something like this:

We made a function that receives two arguments, sums them, and returns that value. Returning something is very useful, because we can do something with the result, such as store it in the myTotal variable. Of course, since we are in the interpreter and everything is printed, doing:

will print the result on the screen, but outside the interpreter, since there is no print command inside the function, nothing would appear on the screen. You would need to:

to have something printed. Read more about functions here.

Modules
Now that we have a good idea of how Python works, we'll need one last thing: How to work with files and modules.

Until now, we wrote Python instructions line by line in the interpreter, right? What if we could write several lines together, and have them executed all at once? It would certainly be handier for doing more complex things. And we could save our work too. Well, that too, is extremely easy. Simply open a text editor (such as the windows notepad, Linux gedit, emacs, or vi), and write all your Python lines, the same way as you write them in the interpreter, with indentations, etc. Then, save that file somewhere, preferably with a .py extension. That's it, you have a complete Python program. Of course, there are much better editors than notepad, but it is just to show you that a Python program is nothing else than a text file.

To make Python execute that program, there are hundreds of ways. In windows, simply right-click your file, open it with Python, and execute it. But you can also execute it from the Python interpreter itself. For this, the interpreter must know where your .py program is. In FreeCAD, the easiest way is to place your program in a place that FreeCAD's Python interpreter knows by default, such as FreeCAD's bin folder, or any of the Mod folders. (In Linux, you probably have a directory /home/ /.FreeCAD/Mod, let's add a subdirectory to that called scripts where we will put the text file.) Suppose we write a file like this:

and we save it as myTest.py in our FreeCAD/bin directory (or on Linux to /home/ /.FreeCAD/Mod/scripts.) Now, let's start FreeCAD, and in the interpreter window, write:

without the .py extension. This will simply execute the contents of the file, line by line, just as if we had written it in the interpreter. The sum function will be created, and the message will be printed. There is one big difference: the import command is made not only to execute programs written in files, like ours, but also to load the functions inside, so they become available in the interpreter. Files containing functions, like ours, are called modules.

Normally when we write a sum function in the interpreter, we execute it simply like that:

Like we did earlier. When we import a module containing our sum function, the syntax is a bit different. We do:

That is, the module is imported as a "container", and all its functions are inside. This is extremely useful, because we can import a lot of modules, and keep everything well organized. So, basically, everywhere you see something.somethingElse, with a dot in between, that means somethingElse is inside something.

We can also import our sum function directly into the main interpreter space, like this:

Basically all modules behave like that. You import a module, then you can use its functions: module.function(argument). Almost all modules do that: they define functions, new data types and classes that you can use in the interpreter or in your own Python modules, because nothing prevents you from importing other modules inside your module!

One last extremely useful thing. How do we know what modules we have, what functions are inside and how to use them (that is, what kind of arguments they need)? We saw already that Python has a help function. Doing:

Will give us a list of all available modules. We can now type q to get out of the interactive help, and import any of them. We can even browse their content with the dir command

We'll see all the functions contained in the math module, as well as strange stuff named __doc__, __file__, __name__. The __doc__ is extremely useful, it is a documentation text. Every function of (well-made) modules has a __doc__ that explains how to use it. For example, we see that there is a sin function in side the math module. Want to know how to use it?

(It may not be evident, but on either side of doc are two underscore characters.)

And finally one last little goodie: When we work on a new or existing module, it's best to replace the file extension with py such as: myModule.FCMacro => myModule.py. We often want to test it so we will load it as above.

But what if we see that myTestFunction doesn't work correctly? We go back to our editor and make changes. Then, instead of closing and reopening the python interpreter, we can simply update the module like this:

This file renaming is because Python doesn't know about the extension FCMacro.

However, there are two alternates: Inside the one macro use Python's exec or execfile functions.

or

To share code across macros, you can access the FreeCAD or FreeCADGui module (or any other Python module) and set any attribute to it. This should survive the execution of the macro.

Starting with FreeCAD
Well, I think you now have a good idea of how Python works, and you can start exploring what FreeCAD has to offer. FreeCAD's Python functions are all well organized in different modules. Some of them are already loaded (imported) when you start FreeCAD. So, just do

and read on to FreeCAD Scripting Basics...

Of course, we saw here only a very small part of the Python world. There are many important concepts that we didn't mention. There are three very important Python reference documents on the net: Be sure to bookmark them!
 * the official Python tutorial with way more information than this one
 * the official Python reference
 * the Dive into Python wikibook/ book.