I am working on a for loop to assign numbers to the classes and I am successful in that but I find it hard to simultaneously insert different colors based on the number of classes using the same for loop but I am getting the error :’list’ object cannot be interpreted as an integer Below is the code: Answer The
Tag: python
TypeError: float() argument must be a string or a number, not ‘Profile’
Problem: I’m trying to get the latest value from my model called Profile. But I’ve encountered a problem, when I try to save it to a variable as a float value I get this error TypeError: float() argument must be a string or a number, not ‘Profile’. I need this so, I can make calculations with the datas. Models.py file:
what is the Time Complexity of a nested loop in a recursive function?
I have a recursive function with a nested loop.I’m looking for what is the time complexity? Here is the function Answer Suppose n is the length of input_str. The algorithm can iterate n times recursively in the worst case, i.e., in each recursive call letter will be increased by 1 and it can be continued up to n. In each
How long does it take to create a thread in python
I’m trying to finish my programming course and I’m stuck on one exercise. I have to count how much time it takes in Python to create threads and whether it depends on the number of threads created. I wrote a simple script and I don’t know if it is good: In times[] I got a 10000 results near 0.0 or
djnoer gives TypeError: permission_denied() got an unexpected keyword argument ‘code’ on get request on /users/me/
Doing just a get request on auth/users/me/ results in this error which says the above. Couldn’t find anything that helps. Can you help me figure out where this error is coming from and how can I fix it. The link to the tutorial I was following is below. Just had setup a new project and installed djoner with jwt. Below
Struggling with Selenium as a new backend developer
I’m very new to web scraping and am trying to build an algorithm to pull all of the information from my school’s course catalog. What I have so far is: I’ve had much more but keep running into Selenium errors about not being able to locate the information when it is correct. Can anyone get me on the right track?
ERROR: Could not find a version that satisfies the requirement dask-cudf (from versions: none)
Describe the bug When I am trying to import dask_cudf I get the following ERROR: I have dask and RAPIDS installed with pip when I search for: pip install dask_cudf original site is not exists anymore: https://pypi.org/project/dask-cudf/ google stored site history: https://webcache.googleusercontent.com/search?q=cache:8in7y2jQFQIJ:https://pypi.org/project/dask-cudf/+&cd=1&hl=en&ct=clnk&gl=uk I am trying to install it with the following code in the Google Colab Window %pip install dask-cudf
Update values in Dynamodb by modifying the previous values
I created a dynamodb table and I am using the lambda function to update the values in the dynamodb table. The problem with my function for updating the values, not modifying the older values which were already present in the dynamodb, it just overwriting the values. My code snippet for updating the data item in Dynamodb table: Here Key is
How to use manim from any directory in windows
I am trying to execute command python -m manim example_scenes.py SquareToCircle -pl from any directory in my windows machine. It works fine when I execute the command in the root directory of manim library(directory which contains requirement.txt, README.md and all those stuff). I tried to edit the path environment variable of my system but it still does not work. ERROR
How to vectorize groupby and apply in pandas?
I’m trying to calculate (x-x.mean()) / (x.std +0.01) on several columns of a dataframe based on groups. My original dataframe is very large. Although I’ve splitted the original file into several chunks and I’m using multiprocessing to run the script on each chunk of the file, but still every chunk of the dataframe is very large and this process never