If you also want `Ctrl-D` to exit without confirmation, in IPython 0.11, add `c.TerminalInteractiveShell.confirm_exit = False` to your config file \*.

If you don&#39;t have a config file yet, run `ipython profile create` to create one.

Note [this ticket][1] if you&#39;re working within the Django shell.

----
\* The config file is located at: `$HOME/.ipython/profile_default/ipython_config.py `


  [1]: https://code.djangoproject.com/ticket/17078

In ipython version 0.11 or higher, 

1. Run with `--no-confirm-exit` OR
2. Exit via &#39;exit&#39; instead of control-D OR
3. Make sure the directory exists (or run `ipython profile create` to create it) and add these lines to $HOME/.ipython/profile_default/ipython_config.py: 


        c = get_config()

        c.TerminalInteractiveShell.confirm_exit = False

just type `Exit`, with capital `E`.

Alternatively, start IPython with:
    
    $ ipython -noconfirm_exit

Or for newer versions of IPython:

    $ ipython --no-confirm-exit 

I like the config suggestions, but until I learned them I&#39;ve started using &quot;Quit&quot; key combination.

    Ctrl+\

or

    Ctrl+4

This just kills what is running. No time to ask questions on confirmation.

I want to drop a database. I have used the following code, but to no avail.

    public void DropDataBase(string DBName,SqlConnection scon)
    {
        try
        {
            SqlConnection.ClearAllPools();
            SqlCommand cmd = new SqlCommand(&quot;ALTER DATABASE &quot; + DBName + &quot;     SET SINGLE_USER     WITH ROLLBACK IMMEDIATE&quot;, scon);
            cmd.CommandType = CommandType.Text;
            scon.Open();
            cmd.ExecuteNonQuery();
            scon.Close();

            SqlCommand cmddrpdb = new SqlCommand(&quot;drop database &quot; + DBName + &quot;&quot;, scon);
            cmddrpdb.CommandType = CommandType.Text;
            scon.Open();
            cmddrpdb.ExecuteNonQuery();
            scon.Close();
        }
        catch (Exception ex)
        {
            MessageBox.Show(&quot;DropDataBase : &quot; +ex.Message);
        }
    }

I am getting Error as **cannot drop database because it is currently in use**.
Please help me out in the above mentioned issue.





Cannot drop database because it is currently in use

I know that this is Linq:

    var _Results = from item in _List
                    where item.Value == 1
                    select item;

And I know this is Lambda:

    var _Results = _List.Where(x =&gt; x.Value == 1);

&gt; **Editor&#39;s note:** the above is not merely Lambda, it is Linq using the &quot;Method
&gt; Syntax&quot; whose predicate is a Lambda. To be clear, both of the above
&gt; samples are Linq (my original post was incorrect, but I left the error
&gt; to illustrate the confusion prompting the question).

But is Linq a subset of Lambda or what?

Why are there two seemingly identical techs?

Is there a technical reason to choose one over the other?

Is it Linq or Lambda?

It&#39;s really irritating that every time I type `exit()`, I get prompted with a confirmation to exit; of course I want to exit! Otherwise, I would not have written `exit()`!!!

Is there a way to override IPython&#39;s default behaviour to make it exit without a prompt?

Disable IPython Exit Confirmation

<p>It's really irritating that every time I type <code>exit()</code>, I get prompted with a confirmation to exit; of course I want to exit! Otherwise, I would not have written <code>exit()</code>!!!</p>
<p>Is there a way to override IPython's default behaviour to make it exit without a prompt?</p>


I have an existing virtualenv with a lot of packages but an old version of Django.

What I want to do is **duplicate** this environment so I have another environment with the exact same packages *but* a newer version of Django. How can I do this?

How to duplicate virtualenv

I came across a strange behavior in python. I could not find information about this in the python help or on SE so here it is:

    def divide(x, y):
    	print &#39;entering divide&#39;
    	try:
    		return x/y
    	except:
    		print &#39;error&#39;
    	else:
    		print &#39;no error&#39;
    	finally:
    		print &#39;exit&#39;
    
    print divide(1, 1)
    print divide(1, 0)

the output:

    entering divide
    exit
    1
    entering divide
    error
    exit
    None

It seems that python will not go inside the `else` block if a value is returned in the `try`. However, it will always go in the `finally` block. I don&#39;t really understand why. Can someone help me with this logic?

thanks

try / else with return in try block

I&#39;m deploying a Django app to a dev server and am hitting this error when I run `pip install -r requirements.txt`:

    Traceback (most recent call last):
      File &quot;/var/www/mydir/virtualenvs/dev/bin/pip&quot;, line 5, in &lt;module&gt;
        from pkg_resources import load_entry_point
    ImportError: No module named pkg_resources

`pkg_resources` appears to be distributed with `setuptools`.  Initially I thought this might not be installed to the Python in the virtualenv, so I installed `setuptools 2.6` (same version as Python) to the Python site-packages in the virtualenv with the following command:

    sh setuptools-0.6c11-py2.6.egg --install-dir /var/www/mydir/virtualenvs/dev/lib/python2.6/site-packages

**EDIT:** This only happens inside the virtualenv.  If I open a console outside the virtualenv then `pkg_resources` is present, but I am still getting the same error.

Any ideas as to why `pkg_resources` is not on the path?

No module named pkg_resources

I tried to rewrite some csv-reading code to be able to run it on multiple cores in Python 3.2.2. I tried to use the `Pool` object of multiprocessing, which I adapted from working examples (and already worked for me for another part of my project). I ran into an error message I found hard to decipher and troubleshoot.

The error:

    Traceback (most recent call last):
      File &quot;parser5_nodots_parallel.py&quot;, line 256, in &lt;module&gt;
        MG,ppl = csv2graph(r)
      File &quot;parser5_nodots_parallel.py&quot;, line 245, in csv2graph
        node_chunks)
      File &quot;/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/multiprocessing/pool.py&quot;, line 251, in map
        return self.map_async(func, iterable, chunksize).get()
      File &quot;/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/multiprocessing/pool.py&quot;, line 552, in get
        raise self._value
    AttributeError: __exit__

The relevant code:

    import csv
    import time
    import datetime
    import re
    from operator import itemgetter
    from multiprocessing import Pool
    import itertools
    
    def chunks(l,n):
        &quot;&quot;&quot;Divide a list of nodes `l` in `n` chunks&quot;&quot;&quot;
        l_c = iter(l)
        while 1:
            x = tuple(itertools.islice(l_c,n))
            if not x:
                return
            yield x
    
    def csv2nodes(r):
        strptime = time.strptime
        mktime = time.mktime
        l = []
        ppl = set()
        pattern = re.compile(r&quot;&quot;&quot;[A-Za-z0-9&quot;/]+?(?=[,\n])&quot;&quot;&quot;)
        for row in r:
            with pattern.findall(row) as f:
                cell = int(f[3])
                id = int(f[2])
                st = mktime(strptime(f[0],&#39;%d/%m/%Y&#39;))
                ed = mktime(strptime(f[1],&#39;%d/%m/%Y&#39;))
            # collect list
            l.append([(id,cell,{1:st,2: ed})])
            # collect separate sets
            ppl.add(id)
        return (l,ppl)
    
    def csv2graph(source):
        MG=nx.MultiGraph()
        # Remember that I use integers for edge attributes, to save space! Dic above.
        # start: 1
        # end: 2
        p = Pool()
        node_divisor = len(p._pool)
        node_chunks = list(chunks(source,int(len(source)/int(node_divisor))))
        num_chunks = len(node_chunks)
        pedgelists = p.map(csv2nodes,
                           node_chunks)
        ll = []
        ppl = set()
        for l in pedgelists:
            ll.append(l[0])
            ppl.update(l[1])
        MG.add_edges_from(ll)
        return (MG,ppl)
    
    with open(&#39;/Users/laszlosandor/Dropbox/peers_prisons/python/codetenus_test.txt&#39;,&#39;r&#39;) as source:
        r = source.readlines()
        MG,ppl = csv2graph(r)


What&#39;s a good way to troubleshoot this? 


How to troubleshoot an &quot;AttributeError: __exit__&quot; in multiproccesing in Python?

I&#39;m writing a simple Python application that uses matplotlib to display a few figures on screen. The number of figures generated is based on user input and changes throughout the application&#39;s life. The user has the ability to issue a &quot;plot&quot; command to generate a new figure window with the selected data series. In order to improve the user experience, I would like to provide another command that would programmatically arrange all open figure windows in some convenient arrangement (e.g. tile them across the available screen space).

I believe to have found APIs that allow me to adjust the size of the figure window (in pixels), but haven&#39;t had any success in finding a way to set their absolute position on screen. Is there a way to do this without delving into the details of whatever backend is in use? I would like to do this in a backend-agnostic way so I can avoid relying upon implementation details that might change in the future.

How do you set the absolute position of figure windows with matplotlib?

I wonder if it&#39;s possible to install python packages without leaving the IPython shell.


How to install a Python package from within IPython?

I need to produce a screencast of an ipython session, and to avoid confusing viewers, I want to disable all warnings emitted by ``warnings.warn`` calls from different packages. Is there a way to configure the ipythonrc file to automatically disable all such warnings?

Hide all warnings in ipython

I&#39;ve been having trouble with Python, iPython and the libraries.  The following points show the chain of the problematics.  I&#39;m running Python 2.7 on Mac Lion. 

1. iPython doesn&#39;t read the libraries of scipy, matplotlib, but it does read numpy. 
2. To fix this, I tried installing Python&#39;s source code version, and it only gave me more problems since now I have two different versions: 2.7.1 and 2.7.2
3. I noticed that running Python, uses version 2.7.2 and does import scipy, matplotlib, and numpy, but on iPython the version is 2.7.1 which doesn&#39;t open scipy or matplotlib. 

I&#39;ve tried several things that I&#39;ve encountered from other blogposts.  But none of them have helped, and also unfortunately I don&#39;t quite know what I&#39;m doing with some of them.  For example:
I tried uninstalling and reinstalling ipython with easy_install and pip.  I also tried reinstalling everything through homebrew, and modifying the path .bash_profile.

ipython reads wrong python version

How to close IPython Notebook properly?

Currently, I just close the browser tabs and then use `Ctrl+C` in the terminal.  
Unfortunately, neither `exit()` nor ticking `Kill kernel upon exit` does help (they do kill the kernel they but don&#39;t exit the iPython).

How to close IPython Notebook properly?

The IPython %timeit magic command does its job well for measuring time required to run some Python code. Now, I want to use something analogous in the Python script. I know about the timeit module, however, it has several disadvantages, for example, how to select the number of runs adaptively? i.e., the default code

    import timeit
    t=timeit.Timer(&quot;code(f)&quot;, &quot;from __main__ import code,f&quot;)
    t.timeit() 

runs the code million times. The %timeit IPyhton magic command does it automatically. I suggest that I could use something like the MATLAB code 
http://www.mathworks.com/matlabcentral/fileexchange/18798

that does all the job automatically (and also tells if the overhead of the function is large).

How can I call %timeit magic from a Python script (or maybe there is a better timing solution) ?

Content Type	Original Author	Original Content on Stackoverflow
Question	Naftuli Kay	View Question on Stackoverflow
Solution 1 - Python	tuomassalo	View Answer on Stackoverflow
Solution 2 - Python	Ernest	View Answer on Stackoverflow
Solution 3 - Python	nye17	View Answer on Stackoverflow
Solution 4 - Python	Mikhail	View Answer on Stackoverflow

Disable IPython Exit Confirmation

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

Solution 3 - Python

Solution 4 - Python

Is it Linq or Lambda?

Cannot drop database because it is currently in use

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