pyforest | pyforest - feel the bliss of automated imports | BPM library

 by   8080labs Python Version: 1.1.2 License: MIT

kandi X-RAY | pyforest Summary

kandi X-RAY | pyforest Summary

pyforest is a Python library typically used in Automation, BPM, Jupyter applications. pyforest has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pyforest' or download it from GitHub, PyPI.

pyforest is developed by 8080 Labs. Our goal is to make Python Data Scientists 10x faster. If you like the speedup to your workflow, you might also be interested in our other project bamboolib.
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            kandi-support Support

              pyforest has a medium active ecosystem.
              It has 1033 star(s) with 192 fork(s). There are 35 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 11 open issues and 14 have been closed. On average issues are closed in 118 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyforest is 1.1.2

            kandi-Quality Quality

              pyforest has 0 bugs and 0 code smells.

            kandi-Security Security

              pyforest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyforest code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyforest is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyforest 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 178 lines of code, 19 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyforest and discovered the below as its top functions. This is intended to give you an instant insight into pyforest implemented functionality, and help decide if they suit your requirements.
            • Set up pyforest startup
            • Write the contents of the startup file
            • Create or update the startup file
            • Returns a dictionary with the user defined functions
            • Install the pyforest extensions
            • Install pyforest Jupyter lab extension
            • Install pyforest nbext extension
            • Loads imports from user settings
            • Assign a list of imports to the globals
            • Get the imports from user settings file
            • Find import lines
            • Read lines from user settings file
            • Clean line
            • Find import statements
            • Check if x is a import statement
            • Check if x is a comment
            • Check if x is an empty line
            Get all kandi verified functions for this library.

            pyforest Key Features

            No Key Features are available at this moment for pyforest.

            pyforest Examples and Code Snippets

            Taking user input and using it in another script
            Pythondot img1Lines of Code : 7dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import tkinter as tk
            import tkinter.simpledialog
            
            tk.Tk().withdraw()
            login=tkinter.simpledialog.askstring("Login","Enter login", show="")
            password=tkinter.simpledialog.askstring("Password","Enter password", show="*")
            
            Permission denied install pyforest notebook extension
            Pythondot img2Lines of Code : 4dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pyforest
            pyforest.install_nbextension()
            pyforest.install_labextension()
            

            Community Discussions

            Trending Discussions on pyforest

            QUESTION

            Taking user input and using it in another script
            Asked 2021-Dec-13 at 16:55

            I'm developing a python script to enter some corporative websites and extract the data that I need. So I have two kinds of scripts, the first one is to do the automation process and the second type is the "parent" script in which I use runpy to run the first kind of scripts and tkinter.simpledialog.askstring to ask the user their login and password. The problem that I'm facing is that I need to store the user's input (that I gather in my "parent" script) and use it in my automation script. This is my "parent" script:

            ...

            ANSWER

            Answered 2021-Dec-13 at 16:55

            While I was waiting for an answer I've found a solution. Well, kind of.

            I removed all tkinter stuff from my "Parent" script and created a module named "Login_Password". The whole script of this module is:

            Source https://stackoverflow.com/questions/70336172

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyforest

            You need Python 3.6 or above because we love f-strings.

            Support

            "How to add my own import statements without adding them to the package source code?" pyforest creates a file in your home directory at ~/.pyforest/user_imports.py in which you can type any explicit import statements you want (e.g. import pandas as pd). Your own custom imports take precedence over any other pyforest imports. Please note: implicit imports (e.g. from pandas import *) won't work."Doesn't this slow down my Jupyter or Python startup process?" No, because the libraries will only be imported when you actually use them. Until you use them, the variables like pd are only pyforest placeholders."Why can't I just use the typical IPython import?" If you were to add all the libraries that pyforest includes, your startup time might take more than 30s."I don't have and don't need tensorflow. What will happen when I use pyforest?" Tensorflow is included in pyforest but pyforest does not install any dependencies. You need to install your libraries separately from pyforest. Afterwards, you can access the libraries via pyforest if they are included in the pyforest imports."Will the pyforest variables interfere with my own local variables?" No, never. pyforest will never mask or overwrite any of your local variables. You can use your variables like you would without pyforest. The worst thing that can happen is that you overwrite a pyforest placeholder and thus cannot use the placeholder any more (duh)."What about auto-completion on lazily imported modules?" It works :) As soon as you start the auto-completion, pyforest will import the module and return the available symbols to your auto-completer."How to (temporarily) deactivate the auto_import in IPython and Jupyter?" Go to the directory ~/.ipython/profile_default/startup and adjust or delete the pyforest_autoimport.py file. You will find further instructions in the file. If you don't use the auto_import, you will need to import pyforest at the beginning of your notebook via import pyforest"How to (re)activate the pyforest auto_import?" Execute the following Python command in Jupyter, IPython or Python: from pyforest.auto_import import setup; setup(). Please note that the auto_import only works for Jupyter and IPython."Can I use pyforest outside of the Jupyter Notebook or Lab?" Technically, yes. However, this is not the intended use case. pyforest is aimed primarily for the use in a Jupyter Notebook or Lab. If you want to use pyforest in IPython or a Python script etc, please import it as follows import pyforest. Afterwards, you can get the currently active imports via pyforest.active_imports()"Why is the project called pyforest?" pyforest is created to be the home for all Data Science packages - including pandas. And in which ecosystems do pandas live? :)
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            Install
          • PyPI

            pip install pyforest

          • CLONE
          • HTTPS

            https://github.com/8080labs/pyforest.git

          • CLI

            gh repo clone 8080labs/pyforest

          • sshUrl

            git@github.com:8080labs/pyforest.git

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