See https://github.com/conda/conda/issues/1032

&gt; This has been implemented as `conda list --revisions` and `conda install --rev REV_NUM`.

EDIT: be careful though if you execute `conda install --rev 0` as this will remove your root environment and the `conda` command. Maybe `conda install --rev 1` would produce the desired behavior (restore root environment to its state after first installation).

EDIT 2018-03-07: Use the `--revision` argument instead of `--rev`

One might also consider `conda update anaconda`. The `anaconda` meta-package links together certain versions of packages that Continuum Analytics has figured out all play nice together.

I would like the UICollectionView (The red one) to shrink to the height of the content size in this case UICollectionViewCells(the yellow ones) because there is a lot of empty space. What I tried is to use:

    override func layoutSubviews() {
        super.layoutSubviews()
        if !__CGSizeEqualToSize(bounds.size, self.intrinsicContentSize) {
            self.invalidateIntrinsicContentSize()
        }
    }
    
    override var intrinsicContentSize: CGSize {
        return self.collection.contentSize
    }

but `return self.collection.contentSize` always return (width, 0)
and for this reason it shrinks too much to value of height 30 (The value which I set in the XIB file for the height, although I have constaint &gt;= 30).

[![enter image description here][1]][1]


  [1]: https://i.stack.imgur.com/bJZra.png

How to adjust height of UICollectionView to be the height of the content size of the UICollectionView?

Especially during the transition from webpack v1 to v2, it would be important to programmatically determine what [webpack][1] version is installed, but I cannot seem to find the appropriate API.


  [1]: https://webpack.js.org/

How to determine the installed webpack version

How do I reset the root environment of anaconda? There has to be a simple conda reset command that does this.

I don&#39;t want to reinstall anaconda all over again. I have other virtualenvs that I don&#39;t want to overwrite and that will happen if I install anaconda again.

How to reset anaconda root environment

<p>How do I reset the root environment of anaconda? There has to be a simple conda reset command that does this.</p>
<p>I don't want to reinstall anaconda all over again. I have other virtualenvs that I don't want to overwrite and that will happen if I install anaconda again.</p>


A bunch of the tweets I am importing are having this issue where they read 

    b&#39;I posted a new photo to Facebook&#39;

I gather the `b` indicates it is a byte. But this is proving problematic because in my CSV files that I end up writing, the `b` doesn&#39;t go away and is interferring in future code. 

Is there a simple way to remove this `b` prefix from my lines of text? 

Keep in mind, I seem to need to have the text encoded in utf-8 or tweepy has trouble pulling them from the web. 

------------------------------------
Here&#39;s the link content I&#39;m analyzing:

https://www.dropbox.com/s/sjmsbuhrghj7abt/new_tweets.txt?dl=0

    new_tweets = &#39;content in the link&#39;

#Code Attempt

    outtweets = [[tweet.text.encode(&quot;utf-8&quot;).decode(&quot;utf-8&quot;)] for tweet in new_tweets]
    print(outtweets)

#Error

    UnicodeEncodeError                        Traceback (most recent call last)
    &lt;ipython-input-21-6019064596bf&gt; in &lt;module&gt;()
          1 for screen_name in user_list:
    ----&gt; 2     get_all_tweets(screen_name,&quot;instance file&quot;)
    
    &lt;ipython-input-19-e473b4771186&gt; in get_all_tweets(screen_name, mode)
         99             with open(os.path.join(save_location,&#39;%s.instance&#39; % screen_name), &#39;w&#39;) as f:
        100                 writer = csv.writer(f)
    --&gt; 101                 writer.writerows(outtweets)
        102         else:
        103             with open(os.path.join(save_location,&#39;%s.csv&#39; % screen_name), &#39;w&#39;) as f:
    
    C:\Users\Stan Shunpike\Anaconda3\lib\encodings\cp1252.py in encode(self, input, final)
         17 class IncrementalEncoder(codecs.IncrementalEncoder):
         18     def encode(self, input, final=False):
    ---&gt; 19         return codecs.charmap_encode(input,self.errors,encoding_table)[0]
         20 
         21 class IncrementalDecoder(codecs.IncrementalDecoder):
    
    UnicodeEncodeError: &#39;charmap&#39; codec can&#39;t encode characters in position 64-65: character maps to &lt;undefined&gt;



How do I get rid of the b-prefix in a string in python?

To make my code more &quot;pythonic&quot; and faster, I use &quot;multiprocessing&quot; and a map function to send it a) the function and b) the range of iterations.



The implanted solution (i.e., call tqdm directly on the range tqdm.tqdm(range(0, 30)) does not work with multiprocessing (as formulated in the code below). 

The progress bar is displayed from 0 to 100% (when python reads the code?) but it does not indicate the actual progress of the map function.

**How to display a progress bar that indicates at which step the &#39;map&#39; function is ?**
   
    from multiprocessing import Pool
    import tqdm
    import time

    def _foo(my_number):
       square = my_number * my_number
       time.sleep(1)
       return square 

    if __name__ == &#39;__main__&#39;:
       p = Pool(2)
       r = p.map(_foo, tqdm.tqdm(range(0, 30)))
       p.close()
       p.join()
Any help or suggestions are welcome...

Multiprocessing : use tqdm to display a progress bar

I have this code:

    class A(object):
	    @staticmethod
	    def open():
    		return 123
	    @staticmethod
	    def proccess():
    	    return 456

	    switch = {
        	1: open,
        	2: proccess,   
         	}

    obj = A.switch[1]()

When I run this I keep getting the error:

    TypeError: &#39;staticmethod&#39; object is not callable

how to resolve it?

&#39;staticmethod&#39; object is not callable

How to make use of the `torch.utils.data.Dataset` and `torch.utils.data.DataLoader` on your own data (not just the `torchvision.datasets`)?

Is there a way to use the inbuilt `DataLoaders` which they use on `TorchVisionDatasets` to be used on any dataset?


PyTorch: How to use DataLoaders for custom Datasets

I have the following code to test some of most popular ML algorithms of sklearn python library:

    import numpy as np
    from sklearn 						import metrics, svm
    from sklearn.linear_model 			import LinearRegression
    from sklearn.linear_model 			import LogisticRegression
    from sklearn.tree 					import DecisionTreeClassifier
    from sklearn.neighbors 				import KNeighborsClassifier
    from sklearn.discriminant_analysis 	import LinearDiscriminantAnalysis
    from sklearn.naive_bayes 			import GaussianNB
    from sklearn.svm 					import SVC
    
    trainingData 	= np.array([ [2.3, 4.3, 2.5],  [1.3, 5.2, 5.2],  [3.3, 2.9, 0.8],  [3.1, 4.3, 4.0]  ])
    trainingScores 	= np.array( [3.4, 7.5, 4.5, 1.6] )
    predictionData 	= np.array([ [2.5, 2.4, 2.7],  [2.7, 3.2, 1.2] ])
    
    clf = LinearRegression()
    clf.fit(trainingData, trainingScores)
    print(&quot;LinearRegression&quot;)
    print(clf.predict(predictionData))
    
    clf = svm.SVR()
    clf.fit(trainingData, trainingScores)
    print(&quot;SVR&quot;)
    print(clf.predict(predictionData))
    
    clf = LogisticRegression()
    clf.fit(trainingData, trainingScores)
    print(&quot;LogisticRegression&quot;)
    print(clf.predict(predictionData))
    
    clf = DecisionTreeClassifier()
    clf.fit(trainingData, trainingScores)
    print(&quot;DecisionTreeClassifier&quot;)
    print(clf.predict(predictionData))
    
    clf = KNeighborsClassifier()
    clf.fit(trainingData, trainingScores)
    print(&quot;KNeighborsClassifier&quot;)
    print(clf.predict(predictionData))
    
    clf = LinearDiscriminantAnalysis()
    clf.fit(trainingData, trainingScores)
    print(&quot;LinearDiscriminantAnalysis&quot;)
    print(clf.predict(predictionData))
    
    clf = GaussianNB()
    clf.fit(trainingData, trainingScores)
    print(&quot;GaussianNB&quot;)
    print(clf.predict(predictionData))
    
    clf = SVC()
    clf.fit(trainingData, trainingScores)
    print(&quot;SVC&quot;)
    print(clf.predict(predictionData))

The first two works ok, but I got the following error in `LogisticRegression` call:

    root@ubupc1:/home/ouhma# python stack.py 
    LinearRegression
    [ 15.72023529   6.46666667]
    SVR
    [ 3.95570063  4.23426243]
    Traceback (most recent call last):
      File &quot;stack.py&quot;, line 28, in &lt;module&gt;
        clf.fit(trainingData, trainingScores)
      File &quot;/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py&quot;, line 1174, in fit
        check_classification_targets(y)
      File &quot;/usr/local/lib/python2.7/dist-packages/sklearn/utils/multiclass.py&quot;, line 172, in check_classification_targets
        raise ValueError(&quot;Unknown label type: %r&quot; % y_type)
    ValueError: Unknown label type: &#39;continuous&#39;

The input data is the same as in the previous calls, so what is going on here? 

And by the way, why there is a huge diference in the first prediction of `LinearRegression()` and `SVR()` algorithms `(15.72 vs 3.95)`?

LogisticRegression: Unknown label type: &#39;continuous&#39; using sklearn in python

I am a beginner and I want to learn computer programming. So, for now, I have started learning Python by myself with some knowledge about programming in C and Fortran.

Now, I have installed Python version 3.6.0 and I have struggled finding a suitable text for learning Python in this version. Even the online lecture series ask for versions 2.7 and 2.5 . 

Now that I have got a book which, however, makes codes in version 2 and *tries* to make it *as close as possible* in version 3 (according to the author); the author recommends &quot;downloading Anaconda for Windows&quot; for installing Python.

So, my **question** is: What is this **&#39;Anaconda&#39;**? I saw that it was some open data science platform. What does it mean? Is it some editor or something like Pycharm, IDLE or something?

Also, I downloaded my Python (the one that I am using right now) for Windows from Python.org and I didn&#39;t need to install any &quot;open data science platform&quot;.
So what is this happening? 

Please explain in easy language. I don&#39;t have too much knowledge about these.

How is Anaconda related to Python?

How can I completely uninstall Anaconda from MacOS Sierra and revert back to the original Python? I have tried using `conda-clean -yes` but that doesn&#39;t work. I also remove the stuff in `~/.bash_profile` but it still uses the Anaconda python and I can still run the `conda` command.

How to uninstall Anaconda completely from macOS

I have a conda environment named `old_name`, how can I change its name to `new_name` without breaking references?

How can I rename a conda environment?

How can a pre-existing conda environment be updated with another .yml file. This is extremely helpful when working on projects that have multiple requirement files, i.e. `base.yml, local.yml, production.yml`, etc.

For example, below is a `base.yml` file has conda-forge, conda, and pip packages:

base.yml

    name: myenv
    channels:
      - conda-forge
    dependencies:
      - django=1.10.5
      - pip:
        - django-crispy-forms==1.6.1

The actual environment is created with:
`conda env create -f base.yml`.

Later on, additional packages need to be added to `base.yml`. Another file, say `local.yml`, needs to import those updates.

Previous attempts to accomplish this include:

creating a `local.yml` file with an import definition:

    channels:

    dependencies:
      - pip:
        - boto3==1.4.4
    imports:
      - requirements/base. 

And then run the command:
`conda install -f local.yml`. 

This does not work. Any thoughts?

How to update an existing Conda environment with a .yml file

Midway through running `Conda Update --all`, the update stalled. Multiple packages had been updated. Now, when I run `conda update --all` or `conda update conda`, I get this response:

    (C:\Users\*****\AppData\Local\Continuum\Anaconda3) C:\Users\*****&gt;conda update conda
    Fetching package metadata ...

    CondaHTTPError: HTTP None None for url &lt;None&gt;
    Elapsed: None

    An HTTP error occurred when trying to retrieve this URL.
    HTTP errors are often intermittent, and a simple retry will get you on your way.
    SSLError(SSLError(SSLError(&quot;bad handshake: Error([(&#39;SSL routines&#39;, &#39;ssl3_get_server_certificate&#39;, &#39;certificate verify failed&#39;)],)&quot;,),),)

I&#39;ve repeated `conda update conda` over multiple days, with no change in results. I can see there is no HTTP, however `conda info --a` shows channel URLs.

    (C:\Users\*****\AppData\Local\Continuum\Anaconda3) C:\Users\*****&gt;conda info -a
    Current conda install:

               platform : win-64
          conda version : 4.3.13
       conda is private : False
      conda-env version : 4.3.13
    conda-build version : 2.1.5
         python version : 3.5.3.final.0
       requests version : 2.13.0
       root environment : C:\Users\*****\AppData\Local\Continuum\Anaconda3  (writable)
    default environment : C:\Users\*****\AppData\Local\Continuum\Anaconda3
       envs directories : C:\Users\*****\AppData\Local\Continuum\Anaconda3\envs
                          C:\Users\*****\AppData\Local\conda\conda\envs
                          C:\Users\*****\.conda\envs
          package cache : C:\Users\*****\AppData\Local\Continuum\Anaconda3\pkgs
                          C:\Users\*****\AppData\Local\conda\conda\pkgs
           channel URLs : https://conda.anaconda.org/anaconda-fusion/win-64
                          https://conda.anaconda.org/anaconda-fusion/noarch
                          https://repo.continuum.io/pkgs/free/win-64
                          https://repo.continuum.io/pkgs/free/noarch
                          https://repo.continuum.io/pkgs/r/win-64
                          https://repo.continuum.io/pkgs/r/noarch
                          https://repo.continuum.io/pkgs/pro/win-64
                          https://repo.continuum.io/pkgs/pro/noarch
                          https://repo.continuum.io/pkgs/msys2/win-64
                          https://repo.continuum.io/pkgs/msys2/noarch
            config file : C:\Users\*****\.condarc
           offline mode : False
             user-agent : conda/4.3.13 requests/2.13.0 CPython/3.5.3 Windows/7 Windows/6.1.7601

How do I get `conda update` to call a correct HTTP address?

Content Type	Original Author	Original Content on Stackoverflow
Question	Glassjawed	View Question on Stackoverflow
Solution 1 - Python	pierre	View Answer on Stackoverflow
Solution 2 - Python	RandyP	View Answer on Stackoverflow

How to reset anaconda root environment

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

How to determine the installed webpack version

How to adjust height of UICollectionView to be the height of the content size of the UICollectionView?

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