jupyter-notebook

问题 I have noticed that some cells take a long time to finish executing on my Jupyter Notebooks. When looking in the task manager, I see that the python process is only using up to about 4% of the CPU. I am using Python 3.6.2 I am on Windows but am using the "Bash on Ubuntu on Windows" terminal to launch the Jupyter notebook (maybe this helps). The processor is a Core i7 and the process is not using up all available RAM so it isn't a Swap memory problem. Basically, why is it being "throttled"

问题 I have noticed that some cells take a long time to finish executing on my Jupyter Notebooks. When looking in the task manager, I see that the python process is only using up to about 4% of the CPU. I am using Python 3.6.2 I am on Windows but am using the "Bash on Ubuntu on Windows" terminal to launch the Jupyter notebook (maybe this helps). The processor is a Core i7 and the process is not using up all available RAM so it isn't a Swap memory problem. Basically, why is it being "throttled"

问题 I am running a Django(Python 2.7) application with IPython notebook in a docker container and for some notebook, while accessing I am getting Error of An unknown error occurred while loading this notebook when I check logs it's showing Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/tornado/web.py", line 1415, in _execute result = yield result File "/usr/local/lib/python2.7/dist-packages/tornado/gen.py", line 870, in run value = future.result() File "/usr/local

问题 I have set up Kafka and Spark on Ubuntu. I am trying to read kafka topics through Spark Streaming using pyspark(Jupyter notebook). Spark is neither reading the data nor throwing any error. Kafka producer and consumer are communicating with each other on terminal. Kafka is configured with 3 partitions on port 9092,9093,9094. Messages are getting stored in kafka topics. Now, I want to read it through Spark Streaming. I am not sure what I am missing. Even I have explored it on internet, but

问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

问题 I want to run my program in jupyter notebook and this program stops at specific time(for example 18:00). I wrote program by while loop and incremental index, but it's better to write it with time parameter. I run mentioned program for 7 hours each day. It must run nonstop. while(i<500000): execute algorithm i+=1 But I'd like to run my program like bellow: while(not 18:00 clock): execute algorithm 回答1: import datetime while datetime.datetime.now().hour < 18: do stuff... or if datetime.datetime

问题 Below is a draft for using the Python kernel of the Jupyter notebook to execute Python code from a custom JavaScript client and here is a related question: Where is a docs for Jupyter front-end extensions JavaScript API? My draft works for some examples. However, I have still some timing issues. When executing the following python code with my method executePythonCode , first the callback shell is called, resolving my promise. My calling main code will continue execution. Later on, the iopub