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)
Sorry if this is a duplicate--I couldn't find anything satisfactory answers.
I'm relatively new to Python programming, but am now getting to a point where my usual method of debugging is becoming obviously flawed. Essentially what I usually do is strategically place 'print' statements at different parts of my code, look at the output, and figure out what is going wrong.
There has to be a better way to do this. I'm hoping those that have more experience than me could point me towards some good resources. What do you like using? What are the advantages/disadvantages of different approaches?
Thanks as always
You can use any IDE for you program to debug. Pycharm is the well known IDE for python. There are many more you can find from the following link.
Open your project using Pycharm, it should detect your environment's python, then right click the file and try Debug file.py. Then you can put breakpoints in the code and step line by line just as you would in any debugger environment.
As suggested in comments, you should use pdb, Only thing you need to do is to place:
import pdb; pdb.set_trace()
in the section you want to debug and run the script, then the program will stop in the line you located it, then you can check variables, assign new values, execute next line, etc.
Python is a relatively new language for me and I already see some of the trouble areas of maintaining a scripting language based project. I am just wondering how the larger community , with a scenario when one has to maintain a fairly large code base written by people who are not around anymore, deals with the following situations:
Return type of a function/method. Assuming past developers didn't document the code very well, this is turning out to be really annoying as I am basically reading code line by line to figure out what a method/function is suppose to return.
Code refactoring: I figured a lot of code need to be moved around, edited/deleted and etc. But lot of times simple errors, which would otherwise be compile time error in other compiled languages e.g. - wrong number of arguments, wrong type of arguments, method not present and etc, only show up when you run the code and the code reaches the problematic area. Therefore, whether a re-factored code will work at all or not can only be known once you run the code thoroughly. I am using PyLint with PyDev but still I find it very lacking in this respect.
You are right, that's an issue with dynamically typed interpreted languages.
There are to important things that can help:
Good documentation
Extensive unit-testing.
They apply to other languages as well of course, but here they are especially important.
As far as I know If code is not documented at all and the author isn't around anymore it's up to you to find out what the ode actually does.
That's why people should always stick to certain guidelindes that can be enforced by stylecheckers like pep8. https://pypi.python.org/pypi/pep8
Comments and docstrings should be included in every method to avoid such situation you're describing. http://www.python.org/dev/peps/pep-0257/#what-is-a-docstring
Also unittests are very helpfull for refactoring since you can check if you broke something with the click of a button. http://docs.python.org/2/library/unittest.html
hope this helps
Others have already mentioned documentation and unit-testing as being the main tools here. I want to add a third: the Python shell. One of the huge advantages of a non-compiled language like Python is that you can easily fire up the shell, import your module, and run the code there to see what it does and what it returns.
Linked to this is the Python debugger: just put import pdb;pdb.set_trace() at any point in your code, and when you run it you will be dropped into the interactive debugger where you can inspect the current values of the variables. In fact, the pdb shell is an actual Python shell as well, so you can even change things there.
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.
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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. :)