Yes, deploy your application on a different WSGI server, see the [Flask deployment options documentation](http://flask.pocoo.org/docs/deploying/).

The server component that comes with Flask is really only meant for when you are developing your application; even though it can be configured to handle concurrent requests with `app.run(threaded=True)` (as of Flask 1.0 this is the default). The above document lists several options for servers that can handle concurrent requests *and* are far more robust and tuneable.

For requests that take a long time, you might want to consider starting a background job for them.

[OpenMP 4.0][1] introduces a new construct called &quot;omp simd&quot;. What is the benefit of using this construct over the old &quot;parallel for&quot;? When would each be a better choice over the other?

EDIT:
Here is an interesting [paper][2] related to the SIMD directive.


  [1]: http://www.openmp.org/mp-documents/OpenMP4.0RC1_final.pdf
  [2]: http://link.springer.com/content/pdf/10.1007/978-3-642-30961-8_5.pdf

Parallel for vs omp simd: when to use each?

I have a program in C that I want to call by using awk in shell scripting. How can I do something like this?

Calling an executable program using awk

My Flask applications has to do quite a large calculation to fetch a certain page. While Flask is doing that function, another user cannot access the website, because Flask is busy with the large calculation.

Is there any way that I can make my Flask application accept requests from multiple users?

Handling multiple requests in Flask

<p>My Flask applications has to do quite a large calculation to fetch a certain page. While Flask is doing that function, another user cannot access the website, because Flask is busy with the large calculation.</p>
<p>Is there any way that I can make my Flask application accept requests from multiple users?</p>


&gt; **Possible Duplicate:**
&gt; [When processing CSV data, how do I ignore the first line of data?](https://stackoverflow.com/questions/11349333/when-processing-csv-data-how-do-i-ignore-the-first-line-of-data)

&lt;!-- End of automatically inserted text --&gt;

I am using python to open CSV file. I am using formula loop but I need to skip the first row because it has header.

So far I remember was something like this but it is missing something: I wonder if someone knows the code for what I am trying to do.

    for row in kidfile:
        if row.firstline = false:  # &lt;====== Something is missing here.
            continue
        if ......


Skip first line(field) in loop using CSV file?

I am trying to read the lines of a text file into a list or array in python.  I just need to be able to individually access any item in the list or array after it is created.

The text file is formatted as follows:

    0,0,200,0,53,1,0,255,...,0.

Where the `...` is above, there actual text file has hundreds or thousands more items.

I&#39;m using the following code to try to read the file into a list:

    text_file = open(&quot;filename.dat&quot;, &quot;r&quot;)
    lines = text_file.readlines()
    print lines
    print len(lines)
    text_file.close()

The output I get is:

    [&#39;0,0,200,0,53,1,0,255,...,0.&#39;]
    1

Apparently it is reading the entire file into a list of just one item, rather than a list of individual items.  What am I doing wrong?


How to read a text file into a list or an array with Python

How to convert decimal to hex in the following format (at least two digits, zero-padded, without an 0x prefix)?

Input: `255`    Output:`ff` 

Input: `2`       Output: `02`

I tried `hex(int)[2:]` but it seems that it displays the first example but not the second one. 

Python Hexadecimal

I&#39;m new to virtualenv but I&#39;m writting django app and finally I will have to deploy it somehow.

So lets assume I have my app working on my local virtualenv where I installed all the required libraries. What I want to do now, is to run some kind of script, that will take my virtualenv, check what&#39;s installed inside and produce a script that will install all these libraries on fresh virtualenv on other machine. How this can be done? Please help.

How to export virtualenv?

Is it possible to add some meta-information/metadata to a pandas DataFrame?

For example, the instrument&#39;s name used to measure the data, the instrument responsible, etc.

*One workaround would be to create a column with that information, but it seems wasteful to store a single piece of information in every row!*

Adding meta-information/metadata to pandas DataFrame

I have an HTML file named `showMap.html`:

&lt;!-- language: lang-html --&gt;

    &lt;!DOCTYPE html&gt;
    &lt;html&gt;

    &lt;head&gt;
      &lt;meta name=&quot;viewport&quot; content=&quot;initial-scale=1.0, user-scalable=no&quot; /&gt;
      &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;
      &lt;title&gt;Map&lt;/title&gt;
      &lt;script type=&quot;text/javascript&quot; src=&quot;http://maps.google.com/maps/api/js?sensor=false&quot;&gt;
      &lt;/script&gt;
      &lt;script type=&quot;text/javascript&quot; src=&quot;js/map.js&quot;&gt;&lt;/script&gt;
    &lt;/head&gt;

    &lt;body onload=&quot;showPosition()&quot;&gt;
      &lt;div id=&quot;map_canvas&quot; style=&quot;width:500px;height:500px;&quot;&gt;&lt;/div&gt;
    &lt;/body&gt;

    &lt;/html&gt;

And another JavaScript file `map.js` is placed in the `js` folder of the same directory.

This code works fine when the HTML file is loaded, but this does not work when I run it in the server.

I use Python&#39;s Flask framework for back-end programming and the funny thing is that the same thing will work well if I expand the JavaScript code inside the HTML file. The only problem is with the external file.

External JavaScript file is not getting added when running on Flask

Many examples for Flask apps that I have seen have the models stored directly in the main app file (http://pythonhosted.org/Flask-SQLAlchemy/quickstart.html, http://maximebf.com/blog/2012/10/building-websites-in-python-with-flask/). Other ones (http://flask.pocoo.org/docs/patterns/sqlalchemy/) have a &quot;models.py&quot; file in which models are placed.

How can I have my Flask app import models from separate files, e.x. &quot;User.py&quot;? When I try creating a User.py file with these contents:

    from app import db

    class User(db.Model):
        [...]

I get the following error:

    File &quot;/Users/stackoverflow/myapp/models/User.py&quot;, line 1, in &lt;module&gt;
    from app import db
    ImportError: No module named app

When I insert `from models import User` in my module file.

Separate SQLAlchemy models by file in Flask

I am using `url_for` to generate a redirect URL when a user has logged out:

    return redirect(url_for(&#39;.index&#39;, _external=True))

However, when I changed the page to a *https* connection, the `url_for` still gives me *http*.

I would like to explicitly ask `url_for` to add *https* at the beginning of a URL.

Can you point me how to change it? I looked at Flask docs, without luck.

Flask url_for generating http URL instead of https

I know I can link Flask with Apache or other web servers. But, I was thinking of running Flask as a standalone server serving multiple clients simultaneously.

Is this possible? Do I have to handle spawning multiple threads and managing them?

Can I serve multiple clients using just Flask app.run() as standalone?

I have a Flask server running in standalone mode (using `app.run()`). But, I don&#39;t want any messages in the console, like

    127.0.0.1 - - [15/Feb/2013 10:52:22] &quot;GET /index.html HTTP/1.1&quot; 200 -
    ...

How do I disable verbose mode?

Content Type	Original Author	Original Content on Stackoverflow
Question	Arno Moonens	View Question on Stackoverflow
Solution 1 - Python	Martijn Pieters	View Answer on Stackoverflow
Solution 2 - Python	LtWorf	View Answer on Stackoverflow

Handling multiple requests in Flask

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

Calling an executable program using awk

Parallel for vs omp simd: when to use each?

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