jupyter-notebook

问题 I tried running the following code snippet in a Jupyter notebook: import threading import time def worker(): print(threading.current_thread().getName(), 'Starting') time.sleep(0.2) print(threading.current_thread().getName(), 'Exiting') def my_service(): print(threading.current_thread().getName(), 'Starting') time.sleep(0.3) print(threading.current_thread().getName(), 'Exiting') t = threading.Thread(name='my_service', target=my_service) w = threading.Thread(name='worker', target=worker) w2 =

问题 I want to send alerts if a long running cell fails, but I don't want to try/except because then I will send needless messages when I am looking at the error. Is there a way to do this? Desired workflow: 1) run status=train() cell 2) see no error in first 15 seconds 3) execute next cell send_alert('done or error') that will execute regardless of the outcome of cell 1. 4) Go do something else Here is a one cell solution that is annoying to code every time: try: start = time.time() train(...)

问题 I want to send alerts if a long running cell fails, but I don't want to try/except because then I will send needless messages when I am looking at the error. Is there a way to do this? Desired workflow: 1) run status=train() cell 2) see no error in first 15 seconds 3) execute next cell send_alert('done or error') that will execute regardless of the outcome of cell 1. 4) Go do something else Here is a one cell solution that is annoying to code every time: try: start = time.time() train(...)

问题 I'm a bit embarrased to even ask this, but I need to be 100% sure: Does basic usage of a jupyter notebook (running on localhost:8888) trigger any web traffic? I've found it surprisingly hard to find good info on this in the docs or elsewhere. 回答1: If you are just running localhost:8888, and accessing it from your own computer, then no you are not actually generating web traffic, since you can access it even when you have no internet connection. There will still be traffic when you interact

问题 My overall aim is to use sparklyr within an R Jupyter notebook on my Azure cloud service of Jupyter lab. I created a new conda environment with R, sparklyr and Java 8 (since this is the version supported by sparklyr) as follows: conda create -n r_spark r=3.6 r-essentials r-irkernel openjdk=8 r-sparklyr source activate r_spark R > IRkernel::installspec(user=TRUE, name="rspark", displayname="R (Spark)") When I run R within a terminal session within this environment, everything works fine: R >

问题 This question already has answers here : Unexpected keyword argument 'ragged' in Keras (2 answers) Closed last month . I tried a code for Face mask detect and alert system and I am getting an error regarding the same. I trained the model in Google Collaboratory and ran the following code in Jupyter Notebook. The code is as follows: # Import necessary libraries from keras.models import load_model import cv2 import numpy as np import tkinter from tkinter import messagebox import smtplib #

问题 I wrote this !pip install seaborn to install the updated version of seaborn, then the system shows a warning that then I wrote this pip install --upgrade pip trying to update the pip, it shows that Instead of running it in ipython, where should i run this code? How could I update package in ipython like jupyter? 回答1: You just forgot put the ! before pip install --upgrade pip . Do this: !pip install --upgrade pip See this for more information, if you are using conda: https://jakevdp.github.io

问题 I found similar questions but none relate to my issue in MacOS Showing all possible methods on Jupyter notebook how to show all methods that i can choose in ipython notebook? Many people didn't find those answers useful in MacOS as you can see in the comments. I'm trying to use . + tab to display all the possible methods any initialized object in Jupyter notebook like this: (example image of a list object for context) and none will show up. But in memory variables can be shown. I'm launching

问题 I found similar questions but none relate to my issue in MacOS Showing all possible methods on Jupyter notebook how to show all methods that i can choose in ipython notebook? Many people didn't find those answers useful in MacOS as you can see in the comments. I'm trying to use . + tab to display all the possible methods any initialized object in Jupyter notebook like this: (example image of a list object for context) and none will show up. But in memory variables can be shown. I'm launching

问题 I found similar questions but none relate to my issue in MacOS Showing all possible methods on Jupyter notebook how to show all methods that i can choose in ipython notebook? Many people didn't find those answers useful in MacOS as you can see in the comments. I'm trying to use . + tab to display all the possible methods any initialized object in Jupyter notebook like this: (example image of a list object for context) and none will show up. But in memory variables can be shown. I'm launching