jupyter-notebook

I could run this example in the terminal. My terminal command is: bin/spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.0 examples/src/main/python/sql/streaming/structured_kafka_wordcount.py localhost:9092 subscribe test Now I wants to run it in Juypter python notebook. I tried to follow this (I could run the code in the link). But in my case, it failed. The following is my code: import os os.environ['PYSPARK_SUBMIT_ARGS'] = "--packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.0 pyspark-shell" from pyspark.sql import SparkSession from pyspark.sql.functions import

I'm extremely new to python and I'm recently trying to understand more about Machine Learning and Neural Nets I know this is a trivial question but I seem to be having problem importing data_utils on jupyter notebook. Can anyone please help Note: I am not using Keras, and I am following the tutorial in this video . Nikhil Yadav I was also following the video and went through the same issue, after searching for a while; Here is the link from Github tensorflow_chatbot_required_files . You can download from here and copy it to your working directory (python file directory). Now you will be able

I have found some people complaining about the python kernel but that is not my issue. Here is a print screen of the error , where you can see that when I try to run an ipynb file it gives me an error with the json kernel . The package is configure with default and I have the Python2 and Python3 kernels for Jupyter as you can see below. :~ jupyter kernelspec list --json { "kernelspecs": { "python2": { "spec": { "language": "python", "argv": [ "/usr/local/opt/python/bin/python2.7", "-m", "ipykernel", "-f", "{connection_file}" ], "display_name": "Python 2", "env": {} }, "resource_dir": "/usr

Getting DLL error with 'jupyter lab' command in Anaconda Installation: Details for system: conda 4.5.11 Python 3.7.0 jupyter 4.4.0 Height of weirdness is that I am able to launch jupyter lab from Anaconda Navigator, but ' jupyter lab ' is not working and throwing below exception: Traceback (most recent call last): File "c:\ml\installed_tools\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "c:\ml\installed_tools\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\ML\installed_tools\anaconda3\Scripts\jupyter-lab.EXE\__main__.py",

I am running a Jupyter notebook instance and it has both python 2 and python 3 kernels. However, when i use the python 2 kernel and execute below statements, import sys sys.executable I get python 3 path '/usr/bin/python3.4' How do i force it to use python 2.7 Re-installing Jupyter with pip instead of pip3 is what worked 来源： https://stackoverflow.com/questions/45106616/how-to-switch-to-python-2-7-from-python-3-jupyter-notebook

After installing ipywidgets in a Jupiter notebook, DSX (IBM Datascience Experience framework), it doesn't show the widget, just a static stuff or A Jupyter Widget Example: import ipywidgets as widgets widgets.Dropdown( options = { 'One': 1, 'Two': 2, 'Three': 3 }, value = 2, description = 'Number:', ) Result: A Jupiter Widget I have tried several versions of !jupyter nbextension enable --py widgetsnbextension --sys-prefix based on http://ipywidgets.readthedocs.io/en/latest/user_install.html , but I still got the same error message: PermissionError: [Errno 13] Permission denied: '/usr/local/src

I have a list of pictures: pictures = {im1,im2,im3,im4,im5,im6} Where im1: im2: im3: im4: im5: im6: I want to assign the pictures to labels (1,2,3,4 etc.) For instance, here pictures 1 to 3 belong to label 1, picture 4 belongs to label 2, picture 5 to label 3, and picture 6 to label 4. -> label = {1,1,1,2,3,4} Since I need to see the images when I label them, I need a method to do that while labeling them. I was thinking of creating an array of images: And then I define the ranges by clicking on the first and last picture belonging to the same labels, so for example: What do you think ? Is