Changing Eric6 appearance configuration - python

I'm trying to use Eric6 python IDE and have been struggling with making it fit my needs better. I want to use it as a poor man's Matlab, thus many advanced features are useless to me, plus some programming habits are actively hindered by Eric.
can I disable "variable unused" warnings? I've been searching through settings over and over again to no avail. The problem is those warnings "inject" themselves into the code as extra lines which is a real sore for the eyes.
alternatively, it could be a floating text that doesn't shift everything below by one line.
Prevent it from switching to Log-Viewer every time I run a script. I just want to use the shell like in Matlab for quick access to variables.
Does anyone have experience with this IDE?

1) The only (GUI-availeble) option here seems to be to disable the code checkers part all together.
[ Settings > Preferences > Editor > Code Checkers > Automatic syntax check ]
-- Reload the file to get rid of any lingering code-checker messages.
-- Checked against Eric6 (18.06)

Related

Integrated python debugging - what is it?

I came across a list of Python editors and a list of features here: What IDE to use for Python?
Among those features were "Integrated Python Debugging". As I'm trying to decide on a text editor to use, I thought I'd look it up, because I don't know what debugging is more than "fixing bugs". That left me none the wiser however, so now I'm asking: as a beginner with Python, how will having this feature in a text editor affect me?
With a debugger you can pause your program at various points and inspect what the values of your different variables are. A debugger allows you to slowly "step" through your program and verify that the code is doing what you expect it too.
Here's an article about debugging with Eclipse and PyDev.
http://www.vogella.com/articles/Python/article.html
Adding these lines to your python code will insert a break point int your code
import pdb
pdb.set_trace()
then you can use the normal pdb commands
s = step, n = next w = where etc.
I suggest to read this (if you use Emacs or Vim is the best):
http://pythonconquerstheuniverse.wordpress.com/2009/09/10/debugging-in-python/
Very clear and usefull!
PDB has similar comands of the GDB used in C.
If you prefer to use an IDE, there is a part in the beginning that could help you.
With a debugger you can get better understanding of programming language constructs as it can show you how each construct affects interpreter's steps through the code. This kind of program runtime visualization is the main feature in beginners' IDE Thonny (http://thonny.org)

Free Python programming environement with autocompletion

I've looked at most of the IDE's out there. I've set up vim to use autocompletion and I'm using it right now. However, I can't seem to get it to work like Visual Studio with .NET. Autocompletion seems to work only in certain cases and it only shows methods and not what parameters they take. It's pretty much unusable to me.
What I'm after is a pop-up that will show me all methods available and the parameters they take. Pretty much the feel of VS2010 when you're programming .NET.
You won't get the kind of autocompletion in a dynamic language like Python that you get in more explicitly typed languages. Consider:
def MyFunction(MyArg):
MyArg.
When you type the "." in MyArg., you expect the editor to provide a list of methods with arguments. That can't happen in Python because the editor has absolutely no way of knowing what type (or types) MyArg could possibly be. Even the Python compiler doesn't have that information when it's compiling the code. That's why, if you put MyArg.SomeNonExistentFunction() you won't get any kind of error message until runtime.
If you wrote something like:
def MyFunction:
MyObject = MyClass(SomeArg)
MyObject.
then a smart enough editor can supply a list of methods available after that final ".".
You'll find that those editors that are supplying autocomplete "sometimes" are doing so in cases similar to my second example, and not doing so in cases similar to the first. With Python, that's as good as you can get.
I've been using Eclipse with the PyDev extension for some time now. The auto-completion there is really quite impressive, I highly recommend it.
Gedit has a developer plugin which tries to do some syntax completion. For reasons already mentioned, it doesn't work very well. I found it more annoying than helpful and disabled it after a few weeks trial.
ipython's new Qt console has tab completion and you can have some tooltip sort of popups with syntax help and docstrings. See screenshot below for example..
But as most people have already pointed out, this kind of thing you are asking for is really more appropriate for less dynamic languages.

python editor/IDE that shows available functions and more importantly their documentation

f = open(filename, 'r')
strings = f.read().lower()
I want a python editor/ide that works like visual studio. In the above after typing 'f.' it shows me the list of available functions and their documentation(DO NOT WAIT FOR ctrl-space). Just like visual express C#. Also preferably it shows autocomplete lists of all variables as well. Is there such an editor?
I have gone through several suggestions - eclipse , vim , emacs , pyscripter, komodo etc etc. Tired of trying. finally asking.
Help me out.
I have checked similar questions, none answered my query.
Try to take a look at PyCharm. It not open source but it is quite cheap and powerful IDE:
http://www.jetbrains.com/pycharm/
http://www.jetbrains.com/pycharm/features/index.html
Code completion for keywords, classes,
variables, etc. — Ctrl+Space. Editor
suggestions are context-aware and
suggest most appropriate options.
Quick definition / documentation view
— see the object definition or
documentation in-place without losing
your context
You can try Netbeans. It is free. Some of its features -
It shows a list of functions and their documentations as well as variables but on Ctrl+Space. (I don't know why you don't want to hit Ctrl+Space, otherwise every time you start writing something, you will be disturbed by a popup.)
It also underlines unused variables, plus the other usual things like syntax highlighting, matching closing brackets, etc.
You can easily change the name of variables within a function/class using the refractor.
You can find usages of a particular names within your project
You can view all your classes, their methods and attributes, functions and global variables at a glance using the navigator.
It has a project manager
You can debug your project.
(whatever else you can possibly think of.)
It has lots of other features... I can't name them all here.
It is the best opensource IDE !
I can confirm that wingide code completion works like that. I tried the example you have here and it worked
I use Pydev, after Vim it speeds a lot! You can quickly navigate your project tree, in tabs you open necessary files, also inline watching of class/method definition, you can even 'jump' to that file. Also you can mark project as 'Django project', after setting python paths it really helps make less mistakes and code quickly. Also I've very much benefited multi-file search/replace. Recommend it! :)
Note: If you use Linux, replase OpenJRE with binary from Oracle's site. Otherwise there'll be craches.

Lightweight console/IDE for Python?

I often use ipython (or the regular python shell) to test python code snippets while coding, and it's been very useful. One shortcoming of this, though, is that if I want to test a multi-line segment of code, or want to write multiple lines of code before running, it isn't very convenient to have to do it "line by line". And even going back to change some of the lines is cumbersome because you have to re-type all the code that comes after it.
I'm playing with Groovy right now and I find that it has an excellent solution to this problem: the Groovy Console. You just write all the code you want, it's just like a regular editor; and then you hit run Ctrl+R (Cmd+R actually since I'm on a Mac) and it runs everything at once. If you want to change something (e.g. if there are errors), then that's easy too -- just change it and Ctrl+R again.
Is there an equivalent of this available for python? Or do you have any recommendations on a way to achieve similar behavior? I could just create a new file, save it, and then python <filename>.py from the shell. But that's just too many steps and would be cumbersome. Eclipse may be an option, but it's too heavyweight. I'm really looking for something lightweight that I can just spin up when I want to test something and then get rid of it just as quickly.
I'd be interested to hear any ideas/suggestions!
Thanks
You might give DreamPie a try. As far as I can tell from a quick read of the groovyConsole page you linked to, DreamPie features a similar input area/output area division (they call it "code box" and "history box"). The code you execute is by default cleared from the code box - which groovyConsole apparently doesn't do - but you can easily retrieve it (Ctrl+Up), or change a preference setting to "Leave code in the code box after execution".
Have you tried using IDLE, the standard Python IDE? You'd have to save the code as <filename>.py within IDLE, but after that you can run it using F5.
The Python docs link to this intro to IDLE, which may be helpful even if it's a little outdated.
I am using emacs and its python-mode.
C-c C-c: evals the current buffer
but you can also eval region (ie selection), functions etc ...
You can even make python-mode use ipython (like I do).
See http://ipython.scipy.org/dist/ipython.el . It works nicely
Did you try PyCrust? It has excellent multi-line editing, copy/paste support.
PyCrust can be found in wxPython Docs and Demos.

What are good ways to make my Python code run first time? [closed]

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I'm getting quite a few errors in my code. Consequently, I would like to be able to minimize them at the outset or see as many errors as possible before code execution. Is this possible and if so, how can I do this?
If you're having problems with syntax, you could try an editor with syntax highlighting. Until you get the feel for a language, simple errors won't just pop out at you.
The simplest form of debugging is just to insert some print statements. A more advanced (and extensible) way to do this would be to use the logging module from the std lib.
The interactive interpreter is a wonderful tool for working with python code, and IPython is a great improvement over the built-in REPL (Read Eval Print Loop).
If you actually want to step through your code, the python debugger is called pdb, which can be called from the command line, or embedded in your code.
If you're used to a fully integrated IDE, I would recommend using Eclipse with pydev, and PyCharm has a great commercial offering, with autocomplete, quick access to docs, and numerous shortcuts, among many other interesting features.
Here is some techniques to facilitate debugging in Python:
use interactive shell e.g., ipython. Python is a dynamic language you can explore your code as you type. The shell is running in the second window in my editor at all times.
copy-paste from the shell into docstrings a code that illustrates a dominant usage and corner cases of the function (class, module). doctest.testmod() placed in a if __name__=="__main__" section allows to test all docstrings in the module. doctest can be easily integrated with unittest.
use assert for stuff that can never happen.
print() can solve many debugging problems; logging module is suitable for long-living python processes.
write tests (not necessarily before your code), run them often (automatically or with one keystroke at most); nose provides extended test discovery and running features for unittest.
run pylint occasionally.
At this point there is a little use for a formal python debugger.
Winpdb is an external multi-platform GPL'ed GUI python debugger if you need one.
All the really cool stuff is easily demonstrated in the interactive interpreter. I think this might be the "gold standard" for good design:
Can you exercise your class interactively?
If you can do stuff interactively, then you can write unittests and doctests with confidence that it's testable, simple, reliable.
And, more important, you can explore it interactively. There's nothing better than the instant gratification that comes from typing code and seeing exactly what happens.
The compiled language habits (write a bunch of stuff, debug a bunch of stuff, test a bunch of stuff) can be left behind. Instead, you can write a little bit of stuff, explore it, write a formal test and then attach your little bit of stuff to your growing final project.
You still do overall design. But you don't squander time writing code that may or may not work. In Python you write code that works. If you're not sure, you play with it interactively until you're sure. Then you write code that works.
I am new to python, and have been trying several different debuggers. Here are the options I've come across so far:
Eclipse with Pydev - If you're already using eclipse, this is probably the way to go. The debugger works well, and is pretty featureful.
Komodo IDE - A light-weight python IDE. Basically a text editor + a debugger. It was really easy to figure out and be productive with immediately.
WinPDB - Trying this one next. Looks very featureful, and I get to use whichever editor I choose.
PDB - Haven't tried yet since I've read about how WinPDB is a better alternative.
Ipython with %run command - I've used IPython, but not as a debugger like this. I need to try this out. (Thanks for the tip, EOL)
Eric IDE - Also on the list to try.
Old-school print, assert statements - Simple, useful, but not a full solution.
Memory debugging - To debug memory problems, I've come across a few tools:
objgraph - Will generate png's of reference graphs. Neat. There's other functionality as well, like: import objgraph;print(objgraph.show_most_common_types(limit=10)) will print the top 10 most common types in memory.
gc module - Interact directly with the garbage collector.
heapy - Heap analyzer. For example: from guppy import hpy; hp = hpy(); print(hp.heap()) will print the most common types, their memory usage, etc.
This is a very incomplete list, but hopefully it's a good start.
Python provides a debugger which allows you to step through your code, inspect variables and manipulate them. Refer to http://pythonconquerstheuniverse.wordpress.com/category/python-debugger/ which can take you over the steps...
Also check the python standard library reference for pdb
http://www.python.org/doc/2.5.2/lib/module-pdb.html
Test early and test often.
This doesn't necessarily mean to jump into the test driven design pool head first (though that's not such a bad idea). It just means, test your objects and methods as soon as you have something that works. Don't wait until you have a huge pile of code before doing testing.
Invest some time in learning a testing framework. If it's trivial for you to type in a test case you'll more likely do it. If you don't have any sort of framework testing can be a pain so you'll avoid it. So, establish some good habits early on and you'll have fewer problems down the road.
More often than not, I just use a bunch of print statements.
page = grabpage(url)
print "Page content:", page
print "page type():", type(page)
It's sometimes useful to do something like:
debug = True
if debug: print "page content", page
..with this you can quickly disable all your debugging print statements by changing the debug variable to False.
While print-debugging will get you very far in most cases, sometimes it's difficult to debug things like loops, or a series of if/else/try/except/etc. For this a debugger that allows stepping though your code, and setting break-points is useful.
pdb is included with Python. Here is a good simple tutorial on it. You can even do things like changing variables during run-time (which the tutorial covers). A longer tutorial can be found here
There is a very nice GUI equivalent pdb - Winpdb
Basically you run winpdb myscript --arg 4 -b 4 then it loads the command in a terminal, shows you your code on the left, with the current, a list of local/global variables (and their values) and the current call-stack.
Then you can step though the code by clicking the Step (or F6). F5 runs the code. If you click next to the line numbers, it sets a break point, where the code will automatically step (when you press run).
I find it far easier to use, and it has lots of addition enhancements (like remote debugging, so you can run the backend portion (rpdb2) in the to-be-debugged application, and connect Winpdb to it (encrypted). It also has support for threading and other useful things not in PDB. You have access to a pdb-like console too.
I set up Python to automatically start the debugger when there's an uncaught exception, using this trick. That way, you can easily examine the state of the program without too much logging code. (Plus, to send me a Growl notification.)
Oh, and this way you can just create a break point in the code by adding
if answer == 42:
1/0
Using assert statement liberally.
Identifing errors before execution is the domain of static checking/analysis. I've had good luck using PyChecker for basic static checking of Python code.
The pycheesecake site has a very good summary of testing tools for Python.
The PyDev plugin for eclipse is my tool of choice. It recognizes simple syntax mistakes and indentation errors and underlines the error with a red line. It has a powerful debugger and even has a plugin called PyLint which warns you about dangerous code.
Edit:
It also has a user friendly stack trace on runtime errors, partial auto complete and some other nifty features.
Edit again:
I didn't notice that pydev was mentioned in the top post. I hope I brought something else to the table.
python -m pdb yourcode.py should do it.
Alternatively you can "import pdb" in your code and use pdb.set_trace() to set break points.
Refer the manual for more info: http://www.python.org/doc/2.5.2/lib/module-pdb.html
There is very nice GUI debugger for Python called Winpdb. Try it out.Built on wxWidgets library and multiplatform.
For a most integrated experience you can use full blown IDE like PyCharm:
http://blog.jetbrains.com/pycharm/files/2011/05/template-debug2.png
Eric4 IDE also has a great built-in debugger.
The IPython Python shell has a %pdb command that automatically invokes the debugger in case of problem. You can then inspect variables, step through the code, etc.
You can run your programs from IPython with the %run command.
More generally, as as been noted in some other answers, a good Python shell is your friend. And IPython is your best friend. :)

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