spyder-notebook | Jupyter notebook integration with Spyder | Code Editor library

by spyder-ide Python Version: 0.5.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | spyder-notebook Summary

spyder-notebook is a Python library typically used in Editor, Code Editor, Jupyter applications. spyder-notebook has no bugs, it has no vulnerabilities, it has build file available and it has low support. However spyder-notebook has a Non-SPDX License. You can install using 'pip install spyder-notebook' or download it from GitHub, PyPI.

Jupyter notebook integration with Spyder

Support

Quality

Security

License

Reuse

Support

spyder-notebook has a low active ecosystem.

It has 453 star(s) with 114 fork(s). There are 37 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 41 open issues and 251 have been closed. On average issues are closed in 304 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spyder-notebook is 0.5.1

Quality

spyder-notebook has 0 bugs and 0 code smells.

Security

spyder-notebook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spyder-notebook code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spyder-notebook has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

spyder-notebook releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 3022 lines of code, 153 functions and 32 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed spyder-notebook and discovered the below as its top functions. This is intended to give you an instant insight into spyder-notebook implemented functionality, and help decide if they suit your requirements.

Setup the menu
Add token to url
Shuts down the kernel
Closes a notebook
Refreshes the data
Select process edit
Runs lpm install
Run a command
Close all open notebooks
Shutdown all server servers
Check if the server has timeout
Show kernel error page
Handle selection selection
Updates the actions in the current tabwidget
Get the version number
Show loading
Set the software rendering
Open an IPython console
Example demo
Open a notebook
Show blank page
Sets the value of an input selector
Handle server started
Handle switch mode

Get all kandi verified functions for this library.

spyder-notebook Key Features

No Key Features are available at this moment for spyder-notebook.

spyder-notebook Examples and Code Snippets

No Code Snippets are available at this moment for spyder-notebook.

Community Discussions

Trending Discussions on spyder-notebook

Why can't I see spyder-terminal after installing plugin using pip (Windows 10)?

How can I improve the performance of my script?

QUESTION

Why can't I see spyder-terminal after installing plugin using pip (Windows 10)?

Asked 2020-Dec-23 at 17:00

I am using Python 3.9.0 and Spyder 4.2.0 on Windows 10 (x64) machine. Via official repo, I installed the spyder-terminal plugin using pip. It installed successfully. After installation, when I open the Spyder IDE, I can't see the terminal. I tried digging into View>Panes and also under Preferences, but couldn't see any hints towards enabling/checking the spyder-terminal?

Did someone come across the same issue and has a workaround to suggest? Am I missing some dependencies?

Here is the output of pip list:

...

ANSWER

Answered 2020-Dec-20 at 20:18

Click on View => Pane => IPython Console. Ipython console should open up at the bottom right corner

Source https://stackoverflow.com/questions/65384075

QUESTION

How can I improve the performance of my script?

Asked 2020-Feb-27 at 18:33

I have a "seed" GeoDataFrame (GDF)(RED) which contains a 0.5 arc minutes global grid ((180*2)*(360*2) = 259200). Each cell contains an absolute population estimate. In addition, I have a "leech" GDF (GREEN) with roughly 8250 adjoining non-regular shapes of various sizes (watersheds).

I wrote a script to allocate the population estimates to the geometries in the leech GDF based on the overlapping area between grid cells (seed GDF) and the geometries in the leech GDF. The script works perfectly fine for my sample data (see below). However, once I run it on my actual data, it is very slow. I ran it overnight and the next morning only 27% of the calculations had been performed. I will have to run this script many times and waiting for two days each time, is simply not an option.

After doing a bit of literature research, I already replaced (?) for loops with for index i in df.iterrows() (or is this the same as "conventional" python for loops) but it didn't bring about the performance imporvement I had hoped for.

Any suggestion son how I can speed up my code? In twelve hours, my script only processed only ~30000 rows out of ~200000.

My expected output is the column leech_df['leeched_values'].

...

ANSWER

Answered 2020-Feb-27 at 18:33

Introduction

It might be worthy to profile your code in details to get precise insights of what is your bottleneck.

Bellow some advises to already improve your script performance:

Avoid list.append(1) to count occurrences, use collection.Counter instead;
Avoid pandas.DataFrame.iterrows, use pandas.DataFrame.itertuples instead;
Avoid extra assignation that are not needed, use pandas.DataFrame.fillna instead:

Eg. this line:

Source https://stackoverflow.com/questions/60338228

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install spyder-notebook

To install this plugin, you can use either pip or conda package managers, as follows:.

Support

See the Contributing Guide for information on how to contribute to the Spyder notebook plugin, including instructions for setting up a development environment.

Find more information at: