ipython | Official repository for IPython | Data Visualization library

 by   ipython Python Version: 8.24.0 License: BSD-3-Clause

kandi X-RAY | ipython Summary

kandi X-RAY | ipython Summary

ipython is a Python library typically used in Analytics, Data Visualization, Jupyter applications. ipython has no bugs, it has build file available, it has a Permissive License and it has high support. However ipython has 2 vulnerabilities. You can install using 'pip install ipython' or download it from GitHub, PyPI.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

            kandi-support Support

              ipython has a highly active ecosystem.
              It has 15842 star(s) with 4426 fork(s). There are 763 watchers for this library.
              There were 10 major release(s) in the last 6 months.
              There are 1536 open issues and 5599 have been closed. On average issues are closed in 155 days. There are 81 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of ipython is 8.24.0

            kandi-Quality Quality

              ipython has 0 bugs and 0 code smells.

            kandi-Security Security

              ipython has 2 vulnerability issues reported (0 critical, 2 high, 0 medium, 0 low).
              ipython code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ipython is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ipython releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              ipython saves you 19734 person hours of effort in developing the same functionality from scratch.
              It has 39658 lines of code, 3334 functions and 356 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ipython and discovered the below as its top functions. This is intended to give you an instant insight into ipython implemented functionality, and help decide if they suit your requirements.
            • Detailed information about an object .
            • Run a cell asynchronously
            • Example of training examples
            • Process input data .
            • Creates the ipython shortcuts for the given shell .
            • Set the default exception color scheme .
            • Creates the inputh hook .
            • Called when a line is complete
            • Merges this instance into a new struct .
            • Check the validity of a line .
            Get all kandi verified functions for this library.

            ipython Key Features

            No Key Features are available at this moment for ipython.

            ipython Examples and Code Snippets

            copy iconCopy
            # shutdown the server after no activity for an hour
            c.ServerApp.shutdown_no_activity_timeout = 60 * 60
            # shutdown kernels after no activity for 20 minutes
            c.MappingKernelManager.cull_idle_timeout = 20 * 60
            # check for idle kernels every two minutes
            copy iconCopy
                    "JUPYTER_PREFER_ENV_PATH": "0",
            python-dotenv-Other Use Cases-Load .env files in IPython
            Pythondot img3Lines of Code : 3dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            %load_ext dotenv
            %dotenv relative/or/absolute/path/to/.env
            ipython - apigen
            Pythondot img4Lines of Code : 320dot img4License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            """Attempt to generate templates for module reference with Sphinx
            XXX - we exclude extension modules
            To include extension modules, first identify them as valid in the
            ``_uri2path`` method, then handle them in the ``_parse_module`` script.
            We get f  
            ipython - autogen config
            Pythondot img5Lines of Code : 86dot img5License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            #!/usr/bin/env python
            import inspect
            from pathlib import Path
            from IPython.terminal.ipapp import TerminalIPythonApp
            from ipykernel.kernelapp import IPKernelApp
            from traitlets import Undefined
            from collections import defaultdict
            here = (Path(__file_  
            ipython - github
            Pythondot img6Lines of Code : 78dot img6License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            """Define text roles for GitHub
            * ghissue - Issue
            * ghpull - Pull Request
            * ghuser - User
            Adapted from bitbucket example here:
            * Doug Hel  
            numba: No implementation of function Function() found for signature:
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def add(new,original=np.array([[]])):  # Note the `[[]]` instead of `[]`
            copy iconCopy
            np.array(['abc', 'defg'])[0].dtype
            >> dtype('> dtype('
            DuckArray(np.array(['abc', 'def'], dtype=object)) == 'abc'
            >> DuckArray([ True False])
            Selecting Elements in a one dimensional array in Python Numpy
            Pythondot img9Lines of Code : 2dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            copy iconCopy
            class Example:
            a = Example()  # Works
            b = Example(1)  # Failes with "TypeError: Example() takes no arguments"

            Community Discussions


            I can't mount my another drive in Google Colab
            Asked 2022-Apr-01 at 10:19

            I tried to mount my drive in Google Colab, but, I can't do it because of credential error.

            I want to mount another drive different from the one I am using in Google Colab.

            The following is my commands.



            Answered 2021-Nov-14 at 02:57

            I solved this problem with this link. The following is the correct code:

            Source https://stackoverflow.com/questions/69819761


            find_element_by_* commands are deprecated in selenium
            Asked 2022-Mar-22 at 19:34

            When starting the function



            Answered 2022-Mar-09 at 17:43


            TypeError: load() missing 1 required positional argument: 'Loader' in Google Colab
            Asked 2022-Mar-04 at 11:01

            I am trying to do a regular import in Google Colab.
            This import worked up until now.
            If I try:



            Answered 2021-Oct-15 at 21:11

            Found the problem.
            I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
            So just reverting back to pyyaml version 5.4.1 solved the problem.

            For more information check versions of pyyaml here.
            See this issue and formal answers in GitHub

            For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:

            Source https://stackoverflow.com/questions/69564817


            Google Colab drive mount (with underscore) is not working
            Asked 2022-Feb-13 at 11:04

            Until yesterday (20 Jan) I could connect to another google drive account (using drive._mount), but when I tried this today, google colab showed me this error:



            Answered 2022-Jan-21 at 14:00

            Alright, until this problem get solved, I did this trick for my project:
            I shared which files I need (like datasets) with my other accounts. For this, you should:

            1. Go to your google drive (where your file is stored) then right-click on it and choose "Share"
            2. Click on "Change to anyone with the link"
            3. Copy link and open it in new window
            4. In top-right side, click on your google accounts list and select which one you need
            5. At the opened window, in top-right side click on "Add shortcut to Drive" and choose location where you want to save file in it
            6. Your file now is accessible in account you did choose

            Source https://stackoverflow.com/questions/70798293


            pytube: AttributeError: 'NoneType' object has no attribute 'span'
            Asked 2022-Feb-09 at 16:58

            I just downloaded pytube (version 11.0.1) and started with this code snippet from here:



            Answered 2021-Nov-22 at 07:03

            Found this issue, pytube v11.0.1. It's a little late for me, but if no one has submitted a fix tomorrow I'll check it out.

            in C:\Python38\lib\site-packages\pytube\parser.py

            Change this line:

            152: func_regex = re.compile(r"function\([^)]+\)")

            to this:

            152: func_regex = re.compile(r"function\([^)]?\)")

            The issue is that the regex expects a function with an argument, but I guess youtube added some src that includes non-paramterized functions.

            Source https://stackoverflow.com/questions/70060263


            Saving model on Tensorflow 2.7.0 with data augmentation layer
            Asked 2022-Feb-04 at 17:25

            I am getting an error when trying to save a model with data augmentation layers with Tensorflow version 2.7.0.

            Here is the code of data augmentation:



            Answered 2022-Feb-04 at 17:25

            This seems to be a bug in Tensorflow 2.7 when using model.save combined with the parameter save_format="tf", which is set by default. The layers RandomFlip, RandomRotation, RandomZoom, and RandomContrast are causing the problems, since they are not serializable. Interestingly, the Rescaling layer can be saved without any problems. A workaround would be to simply save your model with the older Keras H5 format model.save("test", save_format='h5'):

            Source https://stackoverflow.com/questions/69955838


            How to log production database changes made via the Django shell
            Asked 2022-Jan-27 at 17:42

            I would like to automatically generate some sort of log of all the database changes that are made via the Django shell in the production environment.

            We use schema and data migration scripts to alter the production database and they are version controlled. Therefore if we introduce a bug, it's easy to track it back. But if a developer in the team changes the database via the Django shell which then introduces an issue, at the moment we can only hope that they remember what they did or/and we can find their commands in the Python shell history.

            Example. Let's imagine that the following code was executed by a developer in the team via the Python shell:



            Answered 2022-Jan-19 at 09:20

            You could use django's receiver annotation.

            For example, if you want to detect any call of the save method, you could do:

            Source https://stackoverflow.com/questions/70658151


            Convert pandas dictionary to a multi key dictionary where key order is irrelevant
            Asked 2021-Dec-25 at 01:46

            I would like to convert a pandas dataframe to a multi key dictionary, using 2 ore more columns as the dictionary key, and I would like these keys to be order irrelevant.

            Here's an example of converting a pandas dictionary to a regular multi-key dictionary, where order is relevant.



            Answered 2021-Dec-25 at 01:46

            You're forgetting to loop over df_dict.items() instead of just df_dict ;)

            Source https://stackoverflow.com/questions/70477464


            Understanding Numba Performance Differences
            Asked 2021-Dec-21 at 04:01

            I'm trying to understand the performance differences I am seeing by using various numba implementations of an algorithm. In particular, I would expect func1d from below to be the fastest implementation since it it the only algorithm that is not copying data, however from my timings func1b appears to be fastest.



            Answered 2021-Dec-21 at 04:01

            Here, copying of data doesn't play a big role: the bottle neck is fast how the tanh-function is evaluated. There are many algorithms: some of them are faster some of them are slower, some are more precise some less.

            Different numpy-distributions use different implementations of tanh-function, e.g. it could be one from mkl/vml or the one from the gnu-math-library.

            Depending on numba version, also either the mkl/svml impelementation is used or gnu-math-library.

            The easiest way to look inside is to use a profiler, for example perf.

            For the numpy-version on my machine I get:

            Source https://stackoverflow.com/questions/70426958


            How to write an array tag in a VARIANT structure on an OpenOPC server
            Asked 2021-Dec-07 at 16:42

            I'm trying to communicate with an OPC DA server and need to write in a tag which is in an array format. We can connect with a simulation server, read tags (int, real, array) and write tags (int, real, str). The problem comes when we need to write in an array tag. The developper of the OpenOPC library (Barry Barnreiter) recommand to use a VARIANT variable because OPC "expect to see a Windows VARIANT structure when writing complex objects such as arrays".

            • I did install Pywin32 (build 217) as suggested here.
            • I tried to send a simple integer instead of an array in a VARIANT structure.

            Here's the code:



            Answered 2021-Dec-05 at 19:56

            You need to upgrade the python to 3.9 and Pywin32 to Build 302. In addition, you need to install the OpenOPC-Python3x 1.3.1.

            Source https://stackoverflow.com/questions/70118083

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


            No vulnerabilities reported

            Install ipython

            You can install using 'pip install ipython' or download it from GitHub, PyPI.
            You can use ipython like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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