Performance of autograd jacobian: https://stackoverflow.com/questions/54488875/performance-of-autograd-jacobian
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Performance of autograd jacobian
I'm wondering how the following code could be faster. At the moment, it seems unreasonably slow, and I suspect I may be using the autograd API wrong. The output I expect is each element of timeline
Webscraping images in python with selenium and beautifulsoup from an AJAX website: https://stackoverflow.com/questions/54473667/webscraping-images-in-python-with-selenium-and-beautifulsoup-from-an-ajax-websit
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Webscraping images in python with selenium and beautifulsoup from an AJAX website
I've spent a long time trying to go through the html, javascript, network traffic, etc, and learning a lot about javascript, blobs, base64 decoding/encoding of images but I still can't seem to figu...
Can't get rid of "keep/discard" notification while downloading ".eml" files: https://stackoverflow.com/questions/54490547/cant-get-rid-of-keep-discard-notification-while-downloading-eml-files
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Can't get rid of "keep/discard" notification while downloading ".eml" files
How can I get rid of this keep/discard notification while downloading files via python selenium chromedriver?
I've tried with the following but could not succeed:
chromeOptions = webdriver.
I've tried with the following but could not succeed:
chromeOptions = webdriver.
PostgreSQL SQLalchemy and timestamp with time zone, why is incognito different from normal?: https://stackoverflow.com/questions/54480171/postgresql-sqlalchemy-and-timestamp-with-time-zone-why-is-incognito-different-f
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PostgreSQL SQLalchemy and timestamp with time zone, why is incognito different from normal?
I am using flask sqlalchemy and postgreSQL and I have issues with the displayed datetimes, while investigating this issue I found an other weird thing:
Creating a DB entry in incognito mode (chrome
Creating a DB entry in incognito mode (chrome
Efficiently aggregate a resampled collection of datetimes in pandas: https://stackoverflow.com/questions/54477866/efficiently-aggregate-a-resampled-collection-of-datetimes-in-pandas
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Efficiently aggregate a resampled collection of datetimes in pandas
Given the following dataset as a pandas dataframe df:
index(as DateTime object) | Name | Amount | IncomeOutcome
---------------------------------------------------------------
2019-01...
index(as DateTime object) | Name | Amount | IncomeOutcome
---------------------------------------------------------------
2019-01...
Performance Decrease When Using Nginx as Reverse Proxy for Sanic Gunicorn: https://stackoverflow.com/questions/54454841/performance-decrease-when-using-nginx-as-reverse-proxy-for-sanic-gunicorn
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Performance Decrease When Using Nginx as Reverse Proxy for Sanic + Gunicorn
I'm just starting to learn Sanic framework because of its fast benchmark. I made a simple hello world API, then connected it with Gunicorn. The performance was quite good, but when I combined it with
Reading a wav file with scipy and librosa in python: https://stackoverflow.com/questions/54482346/reading-a-wav-file-with-scipy-and-librosa-in-python
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Reading a wav file with scipy and librosa in python
I am trying to load a .wav file in Python using the scipy folder. My final objective is to create the spectrogram of that audio file. The code for reading the file could be summarized as follows:
virtualenv creates directory called 'local' on Ubuntu: https://stackoverflow.com/questions/54437681/virtualenv-creates-directory-called-local-on-ubuntu
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virtualenv creates directory called 'local' on Ubuntu
If I create a virtualenv with Ubuntu 18.04, then a directory local gets created.
virtualenv test-env
cd test-env
ls -l local/
Output:
lrwxrwxrwx 1 foo foo 30 Jan 30 10:47 bin -> /home/foo/tmp...
virtualenv test-env
cd test-env
ls -l local/
Output:
lrwxrwxrwx 1 foo foo 30 Jan 30 10:47 bin -> /home/foo/tmp...
How can I improve initial guess of parameters for scipy.optimize.curve_fit when fitting cosines to periodic data, or improve the fitting otherwise?: https://stackoverflow.com/questions/54487279/how-can-i-improve-initial-guess-of-parameters-for-scipy-optimize-curve-fit-when
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How can I improve initial guess of parameters for scipy.optimize.curve_fit when fitting sines to periodic data, or improve the…
I have a space-separated csv file containing a measurement. First column is the time of measurement, second column is the corresponding measured value, third column is the error. The file can be fo...
I used neuroevolution with python to beat OpenAI games!: https://www.reddit.com/r/Python/comments/amwt0v/i_used_neuroevolution_with_python_to_beat_openai/
reddit
r/Python - I used neuroevolution with python to beat OpenAI games!
1 vote and 0 comments so far on Reddit
How to load a 3D array with mixed data types into Tensorflow for training?: https://stackoverflow.com/questions/54470680/how-to-load-a-3d-array-with-mixed-data-types-into-tensorflow-for-training
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How to load a 3D array with mixed data types into Tensorflow for training?
I am working with a dataset that looks something like this-
PERSON1 = [["Person1Id", "Rome", "Frequent Flyer", "1/2/2018"],["Person1Id", "London", "Frequent Flyer", "3/4/2018"],["Person1Id", "Pari...
PERSON1 = [["Person1Id", "Rome", "Frequent Flyer", "1/2/2018"],["Person1Id", "London", "Frequent Flyer", "3/4/2018"],["Person1Id", "Pari...
When to use dynamodb.client, dynamodb.resource and dynamodb.Table?: https://stackoverflow.com/questions/54454691/when-to-use-dynamodb-client-dynamodb-resource-and-dynamodb-table
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When to use dynamodb.client, dynamodb.resource and dynamodb.Table?
I am working on Dyanamodb using Boto3 and Python. One of the issues I am finding is when should we use the dynamodb.client, dynamodb.resource and dynamodb.Table?
What causes "indexing past lexsort depth" warning in Pandas?: https://stackoverflow.com/questions/54307300/what-causes-indexing-past-lexsort-depth-warning-in-pandas
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What causes "indexing past lexsort depth" warning in Pandas?
I'm indexing a large multi-index Pandas df using df.loc[(key1, key2)]. Sometimes I get a series back (as expected), but other times I get a dataframe. I'm trying to isolate the cases which cause the
Efficient string detection: https://stackoverflow.com/questions/54481681/efficient-string-detection
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Efficient string detection
I am working with pyspark on a huge dataset, where I want to filter the data frame based on strings in another data frame. For example,
dd = spark.createDataFrame(["something.google.com","something.
dd = spark.createDataFrame(["something.google.com","something.
Python 3.8.0a1 is now available for testing: https://pythoninsider.blogspot.com/2019/02/python-380a1-is-now-available-for.html
Blogspot
Python Insider: Python 3.8.0a1 is now available for testing
Migrate a PositiveIntegerField to a FloatField: https://stackoverflow.com/questions/54487527/migrate-a-positiveintegerfield-to-a-floatfield
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Migrate a PositiveIntegerField to a FloatField
I have an existing populated database and would like to convert a PositiveIntegerField into a FloatField. I am considering simply doing a migration:
migrations.AlterField(
model_name='
migrations.AlterField(
model_name='
How do I set extra options for a WMS layer in ipyleaflet?: https://stackoverflow.com/questions/54482665/how-do-i-set-extra-options-for-a-wms-layer-in-ipyleaflet
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How do I set extra options for a WMS layer in ipyleaflet?
I can retrieve and set a WMSLayer with the code below, but I'd like to pass some extra options to the server (in particular, to use a logscale and set a colorscale range). The WMSLayer constructor ...