Use the activate script in the Scripts directory of your virtual environment: > venv\Scripts\activate This will activate your virtual environment and your terminal will look like this depending on the directory you’re in: (venv) C:\Users\acer\Desktop> I hope this helps!
Try in your terminal this command using your notebook: jupyter nbconvert –to webpdf –allow-chromium-download Untitled.ipynb where “Untitled.ipynb” is the name of your notebook. this should download chromium
Finally got answer from Flask documentation, we can get cursor from db object using, from sqlalchemy import create_engine engine = create_engine(‘your_connection_string’) connection = engine.raw_connection() cursor = connection.cursor()
As stated in another answer, the as_matrix method is deprecated since 0.23.0, so you should use to_numpy instead. However, I want to highlight the fact that as_matrix and to_numpy have different signatures: as_matrix takes a list of column names as one of its parameter, in case you want to limit the conversion to a subset … Read more
I found pydub to be easiest tool to do this kind of audio manipulation in simple ways and with compact code. You can install pydub with pip install pydub You may need to install ffmpeg/avlib if needed. See this link for more details. Here is a snippet that does what you asked. Some of the … Read more
Installing matplotlib before installing pandas again made it work.
Firstly, create a virtual environment on your terminal. Then install Flask by running pip install flask. After installing, press CTRL+SHIFT+P. Search for Python Interpreter. Select your virtual environment. The problem will be fixed. I have also faced the same issue, but I resolved it by following this procedure.
Celery and RQ is overengineering for simple task. Take a look at this docs – https://docs.python.org/3/library/concurrent.futures.html Also check example, how to run long-running jobs in background for Flask app – https://stackoverflow.com/a/39008301/5569578
Taking elements from the solutions of @PallavBakshi and @Mike, the following works in Pandas >= 0.19: a.loc[a.index[-1], ‘a’] = 4.0 Just using iloc[-1, ‘a’] won’t work as ‘a’ is not a location.
Another solution (not that pythonic, but very fast) is to use string.translate – though note that this will not work for unicode. It’s also worth noting that you can speed up Dana’s code by moving the characters into a set (which looks up by hash, rather than performing a linear search each time). Here are … Read more