Spell it as two words, rather than three:

    %matplotlib inline

Spell it as two words, rather than three: %%matplotlib inline

I am trying to use Kotlin V1.2.70, Gradle V4.10.1 and Java 11. When compiling the project using gradle, an error saying &quot;Unknown JVM Target Version: 11. Supported versions: 1.6, 1.8&quot;.

Does the Kotlin compiler supports Java 11 (produces code compatible with Java 11 JVM)? If so, how to configure that with gradle?

Does Kotlin support Java 11?

Normally in a jupyter notebook I would use `%matplotlib notebook` magic to display an interactive window, however this doesn&#39;t seem to work with google colab. Is there a solution, or is it not possible to display interactive windows in google colab?

Interactive matplotlib figures in Google Colab

I am getting an error on the following line in my Jupyter Notebook

    % matplotlib inline


I am using Python version 3.7, ipython version 7.0.1

UsageError: Line magic function `%` not found. Jupyter Notebook

I am getting an error on the following line in my Jupyter Notebook
<pre><code class="hljs language-arduino">% matplotlib inline
</code></pre>
I am using Python version 3.7, ipython version 7.0.1

Experimenting with magic methods (`__sizeof__` in particular) on different Python objects I stumbled over the following behaviour:

Python 2.7

    &gt;&gt;&gt; False.__sizeof__()
    24
    &gt;&gt;&gt; True.__sizeof__()
    24

Python 3.x

    &gt;&gt;&gt; False.__sizeof__()
    24
    &gt;&gt;&gt; True.__sizeof__()
    28

What changed in Python 3 that makes the size of `True` greater than the size of `False`?


Different object size of True and False in Python 3

This is a truly popular question here at SO, but none of the many answers I have looked at, clearly explain what this error really mean, and why it occurs. 

One source of confusion, is that when (for example) you do `pip install pycparser`, you first get the error:

**`Failed building wheel for pycparser`**

which is then followed by the message that the package was: 

**`Successfully installed pycparser-2.19`**.

---

&lt;!-- language: none --&gt;

    # pip3 install pycparser
    
    Collecting pycparser
      Using cached https://files.pythonhosted.org/packages/68/9e/49196946aee219aead1290e00d1e7fdeab8567783e83e1b9ab5585e6206a/pycparser-2.19.tar.gz
    Building wheels for collected packages: pycparser
      Running setup.py bdist_wheel for pycparser ... error
      Complete output from command /usr/bin/python3 -u -c &quot;import setuptools, tokenize;__file__=&#39;/tmp/pip-install-g_v28hpp/pycparser/setup.py&#39;;f=getattr(tokenize, &#39;open&#39;, open)(__file__);code=f.read().replace(&#39;\r\n&#39;, &#39;\n&#39;);f.close();exec(compile(code, __file__, &#39;exec&#39;))&quot; bdist_wheel -d /tmp/pip-wheel-__w_f6p0 --python-tag cp36:
      Traceback (most recent call last):
        File &quot;&lt;string&gt;&quot;, line 1, in &lt;module&gt;
        ...
        File &quot;/usr/lib/python3.6/site-packages/pkg_resources/__init__.py&quot;, line 2349, in resolve
          module = __import__(self.module_name, fromlist=[&#39;__name__&#39;], level=0)
      ModuleNotFoundError: No module named &#39;wheel.bdist_wheel&#39;
    
      ----------------------------------------
      Failed building wheel for pycparser
      Running setup.py clean for pycparser
    Failed to build pycparser
    Installing collected packages: pycparser
      Running setup.py install for pycparser ... done
    Successfully installed pycparser-2.19


**What is going on here?**

(I would like to understand how something can fail but still get installed and whether you can trust this package functioning correctly?)

So far the best partial explanation I have found is [this](https://stackoverflow.com/a/37693431/).


What is the meaning of &quot;Failed building wheel for X&quot; in pip install?

Is there a way in Python to get a list of all defined loggers?  

I mean, does something exist such as `logging.getAllLoggers()` which would return a list of `Logger` objects?

I searched the python.logging documentation but couldn&#39;t find such a method.

Thank you in advance.

How to list all existing loggers using python.logging module

This seems trivial, but I cannot find a built-in or simple way to determine if two dictionaries are equal.

What I want is:

    a = {&#39;foo&#39;: 1, &#39;bar&#39;: 2}
    b = {&#39;foo&#39;: 1, &#39;bar&#39;: 2}
    c = {&#39;bar&#39;: 2, &#39;foo&#39;: 1}
    d = {&#39;foo&#39;: 2, &#39;bar&#39;: 1}
    e = {&#39;foo&#39;: 1, &#39;bar&#39;: 2, &#39;baz&#39;:3}
    f = {&#39;foo&#39;: 1}

    equal(a, b)   # True 
    equal(a, c)   # True  - order does not matter
    equal(a, d)   # False - values do not match
    equal(a, e)   # False - e has additional elements
    equal(a, f)   # False - a has additional elements

I could make a short looping script, but I cannot imagine that mine is such a unique use case.

Python3 Determine if two dictionaries are equal

The standard library in 3.7 can recursively convert a dataclass into a dict (example from the docs):


    from dataclasses import dataclass, asdict
    from typing import List

    @dataclass
    class Point:
         x: int
         y: int
    
    @dataclass
    class C:
         mylist: List[Point]
    
    p = Point(10, 20)
    assert asdict(p) == {&#39;x&#39;: 10, &#39;y&#39;: 20}
    
    c = C([Point(0, 0), Point(10, 4)])
    tmp = {&#39;mylist&#39;: [{&#39;x&#39;: 0, &#39;y&#39;: 0}, {&#39;x&#39;: 10, &#39;y&#39;: 4}]}
    assert asdict(c) == tmp

I am looking for a way to turn a dict back into a dataclass when there is nesting. Something like `C(**tmp)` only works if the fields of the data class are simple types and not themselves dataclasses. I am familiar with [jsonpickle][1], which however comes with a prominent security warning. 


------
EDIT:

Answers have suggested the following libraries:
- dacite
- mashumaro (I used for a while, works well but I quickly ran into tricky corner cases)
- pydantic (works very well, excellent documentation and fewer corner cases) 
  [1]: https://jsonpickle.github.io/

Python dataclass from a nested dict

I&#39;m using Jupyter Lab and I&#39;m having trouble to add `conda` environment. The idea is to launch Jupyter Lab from my base environment, and then to be able to choose my other conda envs as kernels.

I installed the package `nb_conda_kernels` which is supposed to do just that, but it&#39;s not working as I want. Indeed, let&#39;s assume I create a new Conda Environment, then I launch jupyter lab from base, I can&#39;t see the new environment as an available kernel.

I have found a &quot;fix&quot;, which works everytime but is not convenient at all. If I install Jupyter Notebook in my new environment, then launch a jupyter notebook from this new environment, close it, go back to base environment, and then launch Jupyter Lab from base environment, my new environment is available as a kernel in Jupyter Lab.

If you know how to make it work without this &quot;fix&quot;, I would be very grateful.

How to add conda environment to jupyter lab

I am trying to use tqdm_notebook in my Python code, but I am running into this error

    import tqdm

    for i in tqdm.tqdm_notebook(range(2, int(total_number)//20):i

ERROR:

    IntProgress not found. Please update jupyter and ipywidgets.
    ImportError: IntProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html

I am using Python 3.7.1 and tqdm version (4.28.1)


Tqdm 4.28.1 in Jupyter Notebook &quot;IntProgress not found. Please update jupyter and ipywidgets.&quot;

Google Colaboratory supports Python version 2.7 and 3.6

I saw an example how to use Swift in Colab a while ago.

Today, I happened to run

    !jupyter-kernelspec list

And found a new kernel: IRkernel

    Available kernels:
      ir         /usr/local/share/jupyter/kernels/ir
      python2    /usr/local/share/jupyter/kernels/python2
      python3    /usr/local/share/jupyter/kernels/python3
      swift      /usr/local/share/jupyter/kernels/swift

Is it now possible to use R in Colab as well? No hassle in installing R kernel?

How to use R with Google Colaboratory?

I have just installed Jupyter over pip (Python version is 3.7.2) in Windows 10, started the jupyter server by calling `jupyter notebook`, created a new notebook with kernel python3 in my web browser but a connection to the kernel is never achieved.

No obvious error in the command line:

    C:\Users\xxxx&gt;jupyter notebook
    [I 21:18:21.005 NotebookApp] Serving notebooks from local directory: C:\Users\xxxx
    [I 21:18:21.005 NotebookApp] The Jupyter Notebook is running at:
    [I 21:18:21.006 NotebookApp] http://localhost:8888/?token=5743fcbbc805efa4b36c983a7beb63b95cf922957378d64f
    [I 21:18:21.007 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
    [C 21:18:21.087 NotebookApp]
    
        To access the notebook, open this file in a browser:
            file:///C:/Users/xxxx/AppData/Roaming/jupyter/runtime/nbserver-18416-open.html
        Or copy and paste one of these URLs:
            http://localhost:8888/?token=5743fcbbc805efa4b36c983a7beb63b95cf922957378d64f
    [I 21:18:33.777 NotebookApp] Creating new notebook in
    [I 21:18:35.512 NotebookApp] Kernel started: ab30c1b3-55d2-45e9-9f01-b4bfc077bb01
    [I 21:18:36.883 NotebookApp] Adapting to protocol v5.1 for kernel ab30c1b3-55d2-45e9-9f01-b4bfc077bb01
    c:\users\xxxx\appdata\local\programs\python\python37-32\lib\site-packages\notebook\base\zmqhandlers.py:284: RuntimeWarning: coroutine &#39;WebSocketHandler.get&#39; was never awaited
      super(AuthenticatedZMQStreamHandler, self).get(*args, **kwargs)
    RuntimeWarning: Enable tracemalloc to get the object allocation traceback
    [W 21:18:37.912 NotebookApp] Replacing stale connection: ab30c1b3-55d2-45e9-9f01-b4bfc077bb01:397de5420f9e4bce82d95967bf5fa1eb
    [W 21:19:14.026 NotebookApp] 404 GET /static/components/preact/preact.min.js.map (::1) 18.98ms referer=None
    [W 21:19:14.040 NotebookApp] 404 GET /static/components/preact-compat/preact-compat.min.js.map (::1) 6.49ms referer=None
    [W 21:19:14.050 NotebookApp] 404 GET /static/components/proptypes/index.js.map (::1) 15.99ms referer=None
    [I 21:20:36.067 NotebookApp] Saving file at /Untitled1.ipynb
    [W 21:22:40.052 NotebookApp] Replacing stale connection: ab30c1b3-55d2-45e9-9f01-b4bfc077bb01:397de5420f9e4bce82d95967bf5fa1eb
    
I have tried all Chrome, Firefox and Microsoft Edge with no success. I even tried through PyCharm.

I then looked at the js console of the browser and seems that the problem is a failure in the websocket connection:

    menubar.js:277 actions jupyter-notebook:find-and-replace does not exist, still binding it in case it will be defined later...
    MenuBar.bind_events @ menubar.js:277
    utils.js:60 load_extensions Arguments(1)
    bidi.js:19 Loaded moment locale en
    utils.js:37 Loading extension: jupyter-js-widgets/extension
    session.js:54 Session: kernel_created (003a523b-3d40-41ac-b65e-154db92d5528)
    kernel.js:459 Starting WebSockets: ws://localhost:8888/api/kernels/f8809bf9-988f-4666-b183-e01bed63fa76
    kernel.js:461 WebSocket connection to &#39;ws://localhost:8888/api/kernels/f8809bf9-988f-4666-b183-e01bed63fa76/channels?session_id=e49c21f065e64e7a89847a0859d689dd&#39; failed: Error during WebSocket handshake: Unexpected response code: 200
    Kernel.start_channels @ kernel.js:461
    kernel.js:103 Kernel: kernel_disconnected (f8809bf9-988f-4666-b183-e01bed63fa76)
    kernel.js:544 WebSocket connection failed:  ws://localhost:8888/api/kernels/f8809bf9-988f-4666-b183-e01bed63fa76 true
    kernel.js:562 Connection lost, reconnecting in 1 seconds.
    kernel.js:103 Kernel: kernel_reconnecting (f8809bf9-988f-4666-b183-e01bed63fa76)
    kernel.js:459 Starting WebSockets: ws://localhost:8888/api/kernels/f8809bf9-988f-4666-b183-e01bed63fa76

What could be the reason here?

Jupyter notebook: No connection to server because websocket connection fails

I&#39;ve been running a script on jupyter notebooks for about 26 hour; I haven&#39;t really been using my computer for anything else, but it needs to run this program that will take ~30 hours to complete. At about 21 hours in, it stopped saving and my terminal had this:

    403 PUT /api/contents/[file.ipynb] (::1): &#39;_xsrf&#39; argument missing from POST

where [file.ipynb] is the location of my jupyter notebook. It also says:
 
    &#39;_xsrf&#39; argument missing from post

in the top right part of the notebook again. The program is still running and I don&#39;t want to restart jupyter notebook and have to run the program again, as I have a deadline, is there anything else I can do?

I&#39;m using google chrome, but I don&#39;t have the LastPass extension or any &#39;%&#39; characters in my code, as another post suggested.

Thanks for any help!

Content Type	Original Author	Original Content on Stackoverflow
Question	Asif Khan	View Question on Stackoverflow
Solution 1 - Python 3.x	J_H	View Answer on Stackoverflow
Solution 2 - Python 3.x	350740378	View Answer on Stackoverflow

UsageError: Line magic function `%` not found. Jupyter Notebook

Python 3.x Problem Overview

Python 3.x Solutions

Solution 1 - Python 3.x

Solution 2 - Python 3.x

Interactive matplotlib figures in Google Colab

Does Kotlin support Java 11?

Attributions