The following should give you the paths

    $ pipenv --where
    /home/wonder/workspace/myproj

&lt;!-- --&gt;

    $ pipenv --venv
    /home/wonder/PyEnvs/myproj-BKbQCeJj

Adding to Sewagodimo Matlapeng&#39;s answer for the second part of the question:

&gt; can configure it to use a custom path for newly created virtualenv?

According to [documentation], you can set the base location for the virtualenvs with the environment variable `WORKON_HOME`. If you want to place the virtualenv specifically in `&lt;project&gt;/.venv`, set the environment variable `PIPENV_VENV_IN_PROJECT`.

e.g., running:
```
export WORKON_HOME=/tmp
pipenv install
```

Would place the virtualenv in `/tmp/&lt;projectname&gt;-&lt;hash&gt;`.

[documentation]: https://pipenv.readthedocs.io/en/latest/advanced/#custom-virtual-environment-location

1. If `num_workers` is 2, Does that mean that it will put 2 batches in the RAM and send 1 of them to the GPU or Does it put 3 batches in the RAM then sends 1 of them to the GPU?
1. What does actually happen when the number of workers is higher than the number of CPU cores? I tried it and it worked fine but How does it work? (I thought that the maximum number of workers I can choose is the number of cores).
1. If I set `num_workers` to 3 and during the training there were no batches in the memory for the GPU, Does the main process waits for its workers to read the batches or Does it read a single batch (without waiting for the workers)?

How does the &quot;number of workers&quot; parameter in PyTorch dataloader actually work?

I&#39;m working with `numpy.float32` numbers and they don&#39;t go into `JSON`. What&#39;s the right approach to overcome this issue?   

    import numpy as np
    import json

    a = np.float32(1)
    json.dumps(a)

    TypeError: Object of type &#39;float32&#39; is not JSON serializable

TypeError: Object of type &#39;float32&#39; is not JSON serializable

How to can get the `path` of `virtualenv` in pipenv?

 can configure it to use a custom path for newly created `virtualenv`?

Get path of virtual environment in pipenv

<p>How to can get the <code>path</code> of <code>virtualenv</code> in pipenv?</p>
<p>can configure it to use a custom path for newly created <code>virtualenv</code>?</p>


I tried to install the Twilio module:

    sudo -H pip install twilio

And I got this error:

    Installing collected packages: pyOpenSSL
      Found existing installation: pyOpenSSL 0.13.1
    Cannot uninstall &#39;pyOpenSSL&#39;. It is a distutils installed project and             
    thus we cannot accurately determine which files belong to it which 
    would lead to only a partial uninstall.

Anyone know how to uninstall pyOpenSSL?

pip cannot uninstall &lt;package&gt;: &quot;It is a distutils installed project&quot;

Can you give me an example of a `Dockerfile` in which I can install all the packages I need from `poetry.lock` and `pyproject.toml` into my image/container from Docker?


Integrating Python Poetry with Docker

I&#39;m using InstaPy which use Python and Selenium. I start the script per Cron and from time to time it crashes. So it&#39;r really irregular, sometimes it runs well through. I&#39;v posted on GitHub Repo as well already but didn&#39;t get an answer there, so i&#39;m asking here now if someone has an idea why.

It&#39;s a digital ocean ubuntu server and i&#39;m using it on headless mode. The driver version are visible on the log. here are error messages:


    ERROR [2018-12-10 09:53:54] [user]  Error occurred while deleting cookies from web browser!
    b&#39;Message: invalid session id\n  (Driver info: chromedriver=2.44.609551 (5d576e9a44fe4c5b6a07e568f1ebc753f1214634),platform=Linux 4.15.0-42-generic x86_64)\n&#39;
    Traceback (most recent call last):
      File &quot;/root/InstaPy/instapy/util.py&quot;, line 1410, in smart_run
        yield
      File &quot;./my_config.py&quot;, line 43, in &lt;module&gt;
        session.follow_user_followers([&#39;xxxx&#39;,&#39;xxxx&#39;,&#39;xxxx&#39;,&#39;xxxx&#39;], amount=100, randomize=True, interact=True)
      File &quot;/root/InstaPy/instapy/instapy.py&quot;, line 2907, in follow_user_followers
        self.logfolder)
      File &quot;/root/InstaPy/instapy/unfollow_util.py&quot;, line 883, in get_given_user_followers
        channel, jumps, logger, logfolder)
      File &quot;/root/InstaPy/instapy/unfollow_util.py&quot;, line 722, in get_users_through_dialog
        person_list = dialog_username_extractor(buttons)
      File &quot;/root/InstaPy/instapy/unfollow_util.py&quot;, line 747, in dialog_username_extractor
        person_list.append(person.find_element_by_xpath(&quot;../../../*&quot;)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webelement.py&quot;, line 351, in find_element_by_xpath
        return self.find_element(by=By.XPATH, value=xpath)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webelement.py&quot;, line 659, in find_element
        {&quot;using&quot;: by, &quot;value&quot;: value})[&#39;value&#39;]
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webelement.py&quot;, line 633, in _execute
        return self._parent.execute(command, params)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webdriver.py&quot;, line 321, in execute
        self.error_handler.check_response(response)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/errorhandler.py&quot;, line 242, in check_response
        raise exception_class(message, screen, stacktrace)
    selenium.common.exceptions.WebDriverException: Message: unknown error: session deleted because of page crash
    from unknown error: cannot determine loading status
    from tab crashed
      (Session info: headless chrome=70.0.3538.110)
      (Driver info: chromedriver=2.44.609551 (5d576e9a44fe4c5b6a07e568f1ebc753f1214634),platform=Linux 4.15.0-42-generic x86_64)

    During handling of the above exception, another exception occurred:

        Traceback (most recent call last):
      File &quot;/root/InstaPy/instapy/instapy.py&quot;, line 3845, in end
        self.browser.delete_all_cookies()
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webdriver.py&quot;, line 878, in delete_all_cookies
        self.execute(Command.DELETE_ALL_COOKIES)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/webdriver.py&quot;, line 321, in execute
        self.error_handler.check_response(response)
      File &quot;/usr/local/lib/python3.6/dist-packages/selenium/webdriver/remote/errorhandler.py&quot;, line 242, in check_response
        raise exception_class(message, screen, stacktrace)
    selenium.common.exceptions.WebDriverException: Message: chrome not reachable
      (Session info: headless chrome=71.0.3578.80)
      (Driver info: chromedriver=2.44.609551 (5d576e9a44fe4c5b6a07e568f1ebc753f1214634),platform=Linux 4.15.0-42-generic x86_64)

Any idea what the reason could be and how to solve it?


Thanks for the inputs. And the guys from http://treestones.ch/ helped me out.

unknown error: session deleted because of page crash from unknown error: cannot determine loading status from tab crashed with ChromeDriver Selenium

How do I convert a PyTorch `Tensor` into a python `list`?

I want to convert a tensor of size `[1, 2048, 1, 1]` into a list of 2048 elements. My tensor has floating point values. Is there a solution which also works with other data types such as int?

Convert PyTorch tensor to python list

**What are the most common pandas ways to select/filter rows of a [dataframe whose index is a MultiIndex](https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#)?**

 - Slicing based on a single value/label
 - Slicing based on multiple labels from one or more levels
 - Filtering on boolean conditions and expressions
 - Which methods are applicable in what circumstances

Assumptions for simplicity:

 1. input dataframe does not have duplicate index keys
 1. input dataframe below only has two levels. (Most solutions shown here generalize to N levels)

----


### Example input:
 
&gt;     mux = pd.MultiIndex.from_arrays([
&gt;         list(&#39;aaaabbbbbccddddd&#39;),
&gt;         list(&#39;tuvwtuvwtuvwtuvw&#39;)
&gt;     ], names=[&#39;one&#39;, &#39;two&#39;])
&gt;     
&gt;     df = pd.DataFrame({&#39;col&#39;: np.arange(len(mux))}, mux)
&gt;     
&gt;              col
&gt;     one two     
&gt;     a   t      0
&gt;         u      1
&gt;         v      2
&gt;         w      3
&gt;     b   t      4
&gt;         u      5
&gt;         v      6
&gt;         w      7
&gt;         t      8
&gt;     c   u      9
&gt;         v     10
&gt;     d   w     11
&gt;         t     12
&gt;         u     13
&gt;         v     14
&gt;         w     15

## Question 1: Selecting a Single Item       
How do I select rows having &quot;a&quot; in level &quot;one&quot;? 

             col
    one two     
    a   t      0
        u      1
        v      2
        w      3

Additionally, how would I be able to drop level &quot;one&quot; in the output?

         col
    two     
    t      0
    u      1
    v      2
    w      3


**Question 1b**    
How do I slice all rows with value &quot;t&quot; on level &quot;two&quot;?
 
             col
    one two     
    a   t      0
    b   t      4
        t      8
    d   t     12

## Question 2: Selecting Multiple Values in a Level        
How can I select rows corresponding to items &quot;b&quot; and &quot;d&quot; in level &quot;one&quot;?


             col
    one two     
    b   t      4
        u      5
        v      6
        w      7
        t      8
    d   w     11
        t     12
        u     13
        v     14
        w     15

**Question 2b**    
How would I get all values corresponding to &quot;t&quot; and &quot;w&quot; in level &quot;two&quot;?

             col
    one two     
    a   t      0
        w      3
    b   t      4
        w      7
        t      8
    d   w     11
        t     12
        w     15


## Question 3: Slicing a Single Cross Section `(x, y)`      
How do I retrieve a cross section, i.e., a single row having a specific values for the index from `df`? Specifically, how do I retrieve the cross section of `(&#39;c&#39;, &#39;u&#39;)`, given by

             col
    one two     
    c   u      9

## Question 4: Slicing Multiple Cross Sections `[(a, b), (c, d), ...]`       
How do I select the two rows corresponding to `(&#39;c&#39;, &#39;u&#39;)`, and `(&#39;a&#39;, &#39;w&#39;)`?

             col
    one two     
    c   u      9
    a   w      3

## Question 5: One Item Sliced per Level       
How can I retrieve all rows corresponding to &quot;a&quot; in level &quot;one&quot; or &quot;t&quot; in level &quot;two&quot;?

             col
    one two     
    a   t      0
        u      1
        v      2
        w      3
    b   t      4
        t      8
    d   t     12

## Question 6: Arbitrary Slicing    
How can I slice specific cross sections? For &quot;a&quot; and &quot;b&quot;, I would like to select all rows with sub-levels &quot;u&quot; and &quot;v&quot;, and for &quot;d&quot;, I would like to select rows with sub-level &quot;w&quot;.

             col
    one two     
    a   u      1
        v      2
    b   u      5
        v      6
    d   w     11
        w     15


&gt; Question 7 will use a unique setup consisting of a numeric level:
&gt; 
&gt;     np.random.seed(0)
&gt;     mux2 = pd.MultiIndex.from_arrays([
&gt;         list(&#39;aaaabbbbbccddddd&#39;),
&gt;         np.random.choice(10, size=16)
&gt;     ], names=[&#39;one&#39;, &#39;two&#39;])
&gt;     
&gt;     df2 = pd.DataFrame({&#39;col&#39;: np.arange(len(mux2))}, mux2)
&gt;     
&gt;              col
&gt;     one two     
&gt;     a   5      0
&gt;         0      1
&gt;         3      2
&gt;         3      3
&gt;     b   7      4
&gt;         9      5
&gt;         3      6
&gt;         5      7
&gt;         2      8
&gt;     c   4      9
&gt;         7     10
&gt;     d   6     11
&gt;         8     12
&gt;         8     13
&gt;         1     14
&gt;         6     15


## Question 7: Filtering by numeric inequality on individual levels of the multiindex      
How do I get all rows where values in level &quot;two&quot; are greater than 5?

             col
    one two     
    b   7      4
        9      5
    c   7     10
    d   6     11
        8     12
        8     13
        6     15

-----
Note: This post will *not* go through how to create MultiIndexes, how to perform assignment operations on them, or any performance related discussions (these are separate topics for another time). 

Select rows in pandas MultiIndex DataFrame

I am using the following setup

- [macOS v10.14][1] (Mojave)
- Python 3.7.1
- Visual Studio Code 1.30
- Pylint 2.2.2
- Django 2.1.4

I want to use linting to make my life a bit easier in Visual Studio Code. However, for every import I have states &quot;unresolved import&quot;. Even on default Django imports (i.e. from django.db import models).

I presume it is because it is not seeing the virtual environment Python files.

Everything works just fine, but it&#39;s starting to get annoying.

The interpreter choices I have are all system versions of Python. It does not seem to see my virtual environment Python at all (it is not in the same directory as my workspace, so that part makes sense).

If I set up the *python.PythonPath* in the *settings.json* file, it just ignores it and does not list my virtual environment path as an option. I also tried setting it up in my global Python settings, but it also does not show up.

Is there a quick fix to get it working?

  [1]: https://en.wikipedia.org/wiki/MacOS_Mojave






Pylint &quot;unresolved import&quot; error in Visual Studio Code

I have a model class of which I want two fields to be a choice fields, so to populate those choices I am using an enum as listed below

    #models.py
    class Transaction(models.Model):
        trasaction_status = models.CharField(max_length=255, choices=TransactionStatus.choices())
        transaction_type = models.CharField(max_length=255, choices=TransactionType.choices())

    #enums.py
    class TransactionType(Enum):
    
        IN = &quot;IN&quot;,
        OUT = &quot;OUT&quot;
    
        @classmethod
        def choices(cls):
            print(tuple((i.name, i.value) for i in cls))
            return tuple((i.name, i.value) for i in cls)
    
    class TransactionStatus(Enum):
    
        INITIATED = &quot;INITIATED&quot;,
        PENDING = &quot;PENDING&quot;,
        COMPLETED = &quot;COMPLETED&quot;,
        FAILED = &quot;FAILED&quot;
        ERROR = &quot;ERROR&quot;
    
        @classmethod
        def choices(cls):
            print(tuple((i.name, i.value) for i in cls))
            return tuple((i.name, i.value) for i in cls)

However, when I am trying to access this model through admin I am getting the following error :

    Django Version:	1.11
    Exception Type:	ValueError
    Exception Value:	
    too many values to unpack (expected 2)

I followed two articles that described how to use enums:

* https://hackernoon.com/using-enum-as-model-field-choice-in-django-92d8b97aaa63
* https://blog.richard.do/2014/02/18/how-to-use-enums-for-django-field-choices/

How to use enums as a choice field in django model

What is the meaning of `bind=True` in below **celery** code? When to use it and when not?

```
@app.task(bind=True)
def send_twitter_status(self, oauth, tweet):
    try:
        twitter = Twitter(oauth)
        twitter.update_status(tweet)
    except (Twitter.FailWhaleError, Twitter.LoginError) as exc:
        raise self.retry(exc=exc)
```

What is the meaning of bind = True keyword in celery?

I m building a flutter app with django rest-framework. The registration api is working fine in Postman but after some successful registration from the flutter app it is showing the above error. The request is been sent on https address.

Removed csrf. Nothing happens.

# Request: #

    var data = {&#39;email&#39;:signupemailidcontroller.text,
                &#39;password1&#39;:passwordcontroller.text,
                &#39;password2&#39;:confirmpasswordcontroller.text,
               };
            //http request here
            await http.post(websitesignupurl,
                            headers: headers,
                            body: json.encode(data))
              .then((onResponse){
                print(onResponse.body);
              }).catchError((onerror){
              	print(onerror.toString());
            });

# Output in Console: #
SocketException: OS Error: Connection refused, errno = 111

I Expect the response of this request to be a Json object containing the user and token.


SocketException: OS Error: Connection refused, errno = 111 in flutter using django backend

After upgrading to Django 3.0, I get the following error:

    ImportError: cannot import name &#39;render_to_response&#39; from &#39;django.shortcuts&#39;

My view:

    from django.shortcuts import render_to_response

    from django.template import RequestContext

    def index(request):
        context = {&#39;foo&#39;: &#39;bar&#39;}
        return render_to_response(&#39;index.html&#39;, context, context_instance=RequestContext(request))

Here is the full traceback:

```
Traceback (most recent call last):
  File &quot;./manage.py&quot;, line 21, in &lt;module&gt;
    main()
  File &quot;./manage.py&quot;, line 17, in main
    execute_from_command_line(sys.argv)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/__init__.py&quot;, line 381, in execute_from_command_line
    utility.execute()
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/__init__.py&quot;, line 375, in execute
    self.fetch_command(subcommand).run_from_argv(self.argv)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/base.py&quot;, line 323, in run_from_argv
    self.execute(*args, **cmd_options)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/commands/runserver.py&quot;, line 60, in execute
    super().execute(*args, **options)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/base.py&quot;, line 364, in execute
    output = self.handle(*args, **options)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/commands/runserver.py&quot;, line 95, in handle
    self.run(**options)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/core/management/commands/runserver.py&quot;, line 102, in run
    autoreload.run_with_reloader(self.inner_run, **options)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/utils/autoreload.py&quot;, line 580, in run_with_reloader
    start_django(reloader, main_func, *args, **kwargs)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/utils/autoreload.py&quot;, line 565, in start_django
    reloader.run(django_main_thread)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/utils/autoreload.py&quot;, line 272, in run
    get_resolver().urlconf_module
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/utils/functional.py&quot;, line 48, in __get__
    res = instance.__dict__[self.name] = self.func(instance)
  File &quot;/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/urls/resolvers.py&quot;, line 572, in urlconf_module
    return import_module(self.urlconf_name)
  File &quot;/Users/alasdair/.pyenv/versions/3.7.2/lib/python3.7/importlib/__init__.py&quot;, line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _gcd_import
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 983, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 967, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 677, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 728, in exec_module
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 219, in _call_with_frames_removed
  File &quot;/Users/alasdair/dev/myproject/myproject/urls.py&quot;, line 19, in &lt;module&gt;
    from myapp import views
  File &quot;/Users/alasdair/dev/myproject/myapp/views.py&quot;, line 8, in &lt;module&gt;
    from django.shortcuts import render_to_response
ImportError: cannot import name &#39;render_to_response&#39; from &#39;django.shortcuts&#39; (/Users/alasdair/.virtualenvs/django30/lib/python3.7/site-packages/django/shortcuts.py)
```

Django ImportError: cannot import name &#39;render_to_response&#39; from &#39;django.shortcuts&#39;

I&#39;ve installed Python 3.7 on my Ubuntu 18.04 machine. Following this instructions in case it&#39;s relevant: 

&gt; Download : Python 3.7 from Python Website [1] ,on Desktop and manually
&gt; unzip it, on Desktop Installation : Open Terminal (ctrl +shift+T)
&gt; 
&gt;     Go to the Extracted folder
&gt;     $ cd ~/Desktop/Python-3.7.0
&gt;     $ ./configure
&gt;     $ make
&gt;     $ sudo make install
&gt; 
&gt; Making Python 3.7 default Python :
&gt; 
&gt;     $ sudo vim ~/.bashrc
&gt;     press i
&gt;     on the last and new line - Type
&gt;     alias python= python3.7
&gt;     press Esc
&gt;     type - to save and exit vim
&gt;     :wq
&gt;     now type
&gt;     $ source ~/.bashrc
From here: https://www.quora.com/How-can-I-upgrade-Python-3-6-to-3-7-in-Ubuntu-18-04

I&#39;ve downloaded several modules through `pip install module` but when I try to import them, I get a `ModuleNotFoundError: No module names &#39;xx&#39;`

So I did some research and apparently when used pip to install, it installed in the modules in previous version of Python. 
Somewhere (probably a question in SO) I found a suggestion to install the module using `python3.7 -m pip install module` but then I get `/usr/local/bin/python3.7: no module named pip`.

Now I&#39;m stuck, pip is installed, but apparently not for Python 3.7. I&#39;m assuming that if I can install pip for Python 3.7, I can run the pip install command and get the modules I need.
If that is the case, how can I install pip for python 3.7, since it&#39;s already installed?

---

This is the best I have come up with:

I have installed python 3.7 successfully and I can install modules using pip (or pip3) but those modules are installed in Python 3.6 (Comes with ubuntu). Therefore I can&#39;t import those modules in python 3.7 (get a module not found)

Python 3.7 doesn&#39;t recognize pip/pip3, so I can&#39;t install through pip/pip3
I need python 3.7


How to Install pip for python 3.7 on Ubuntu 18?

I relatively new to coding so I am not (yet) running virtual environments. Rather, I am just downloading packages with pip straight to my pc to run python 3.7 in atom.

When I tried to use pip the other day to install the scrapy package like so `-m pip install --user scrapy`

I got this error: `Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: &#39;c:\\users\\adrian\\appdata\\roaming\\python\\python37\\site-packages\\pip-19.0.1.dist-info\\METADATA&#39;`

Most of the other answers I have seen on related errors had people use conda to install some type of fix I think? When I tried to use conda to execute one of the fixes I recieved a CondaHTTPError: `SSLError(MaxRetryError(&#39;HTTPSConnectionPool(host=\&#39;repo.anaconda.com\&#39;, port=443): Max retries exceeded with url: /pkgs/free/noarch/repodata.json.bz2 (Caused by SSLError(&quot;Can\&#39;t connect to HTTPS URL because the SSL module is not available.`

Any direction would be heartily appreciated :-)

Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory \\METADATA

In Google Colaboratory, I can install a new library using `!pip install package-name`. But when I open the notebook again tomorrow, I need to re-install it every time.

Is there a way to install a library permanently? No need to spend time installing every time to use?

How do I install a library permanently in Colab?

I am trying to install virtualenv on Ubuntu. 

First it said `command &#39;pip&#39; not found`, so I typed 

    sudo apt install python-pip

then it said 

    E: Unable to locate package python-pip

I tried to reset WSL, download using cmd but it doesn&#39;t work with Ubuntu. I don&#39;t know why. Even though I have downloaded python3, virtualenv, and pip using cmd. It doesn&#39;t work with Ubuntu 18.04. It also fails on Ubuntu 14.04.

    aiki@LAPTOP-886AEJJG:~$ pip
    
    Command &#39;pip&#39; not found, but can be installed with:
    
    sudo apt install python-pip
    
    aiki@LAPTOP-886AEJJG:~$ sudo apt install python-pip
    [sudo] password for aiki:
    Reading package lists... Done
    Building dependency tree
    Reading state information... Done
    E: Unable to locate package python-pip

I&#39;m trying to install jarvis and mycroft on win 10, but I need to use Ubuntu because it only works with Linux. 

Content Type	Original Author	Original Content on Stackoverflow
Question	amir	View Question on Stackoverflow
Solution 1 - Python	Sewagodimo Matlapeng	View Answer on Stackoverflow
Solution 2 - Python	Omer Anson	View Answer on Stackoverflow

Get path of virtual environment in pipenv

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