What’s an elegant way to extract a series of entries in a list of tuples into sublists?
Say I have a series of entries in a list of tuples like this:
python
Sum up the values inside nested python dictionaries if they have the same key
I want to change values in nested python dictionaries if they have the same key. My original dict contains several nested dicts with a different length. If a nested dict has the same key as a previous nested dict, the value of the previous key should be added to the value of the current key. This is basically stacking the values on top of each other. For better understanding:
Iteratively create a list of URLS from a list and call each for a request
I’m trying to iteratively create urls combining two url variables and a list of unique uuids that need to be added to the url like so .com/{test_adv_uuid}/. My current code looks like this:
Moving averaging of Loss during Training in Keras
I am using Keras with TensorFlow to implement a deep neural network. When I plot the loss and number of iterations, there is a significant jump in loss after each epoch. In reality, the loss of each mini-batch should vary from each other, but Keras calculates the moving average of the loss over the mini-batches, that’s why we obtain a smooth curve instead of an arbitrary one. The array of the moving average is reset after each epoch because of which we can observe a jump in the loss.
How can I loop through all the .py files in my current directory & import a variable from each one?
I am in a file called end.py.
pandas: replace values in a column based on a condition in another dataframe if that value is in the second dataframe
I have two dataframes as follows,
Create Voronoi art with rounded region edges
I’m trying to create some artistic “plots” like the ones below:
Strictly Increasing Path in Grid with Python
At each step we can go the one of the left,right,up or down cells only if the that cell is strictly greater thab our current cell. (We cannot move diagonally). We want to find all the paths that we can go from the top-left cell to the bottom-right cell.
Analyzer ignoring certain word when used in Sklearn Tfidf
Here is my code:
Add a column which shows the timestamp with an increasing step
I have a dataframe with on column, I want to add another columns which shows the timestamp. I want the increasing time as 5 min. Here is an example: import pandas as pd df = pd.DataFrame() df['value'] = [57,43, 55, 64] The data frame which i want is like this: Could you please help how … Read more