pyc | Compile Python code to binary

 by   ahojukka5 Python Version: Current License: MIT

kandi X-RAY | pyc Summary

kandi X-RAY | pyc Summary

pyc is a Python library. pyc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pyc build file is not available. You can download it from GitHub.

pyc aims to make it easier to compile Python files using Cython.

            kandi-support Support

              pyc has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              pyc has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyc is current.

            kandi-Quality Quality

              pyc has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pyc 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

              pyc releases are not available. You will need to build from source code and install.
              pyc has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 104 lines of code, 8 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyc and discovered the below as its top functions. This is intended to give you an instant insight into pyc implemented functionality, and help decide if they suit your requirements.
            • Compile a c file .
            • Parse command line arguments .
            • Count the number of prime prime combinations
            • Compiles the source code and runs it .
            • fibonacci function
            • Check if i is prime .
            Get all kandi verified functions for this library.

            pyc Key Features

            No Key Features are available at this moment for pyc.

            pyc Examples and Code Snippets

            No Code Snippets are available at this moment for pyc.

            Community Discussions


            Updating packages using pip-review doesn't work
            Asked 2022-Mar-16 at 14:19

            I tried to update all my packages using pip-review, which worked for me once, but now it doesn't work. When I write



            Answered 2021-Aug-17 at 09:36

            Uninstalling pip-review and re-installing it solved the problem.



            Create executable Python file but not readable
            Asked 2022-Feb-28 at 02:01

            I am working on a project that uses sensitive information (such as a password) and does something with it. The issue is that I do not want that information anywhere accessible on my computer. After doing much research I found the best few solutions here. Here are them in order

            1. Its first recommendation is to encode your python file into pyc however "there are ready-made decompiler tools, and the cracking cost is low"

            2. The other would be to obfuscate but I believe the password would still be in the file or at risk of being found out.

            3. Then there is py2exe- however, I want it to have the ability to run on multiple platforms (macOS and Linux). It could also still be decompiled according to the website above.

            4. The last would be to use cythonize which makes it difficult to crack however feels extremely convoluted- I would also have to recompile for Windows and Unix as well- but it works.

            I also tried using input() in my code but I found that what you type in the console is stored as well as displayed on your screen.

            Is Cythonize the only way to simply make the code encrypted? Or hide the password in some way?



            Answered 2022-Feb-27 at 23:21

            If by unreadable you mean not readable by the machine, and if you use GitHub, just put in a file called .gitignore.



            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:



            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like



            pytest/python fails to import test helper code from within python test
            Asked 2022-Jan-09 at 18:38

            I'm having trouble importing test helpers into test code.

            The project's python source code and test code directories are separate, but their structure parallels one another. In the test directory, I have some helper test code that I want to import into the actual tests. I am setting PYTHONPATH to include both the main src dir and the test dir (details below).

            Command line:



            Answered 2022-Jan-09 at 18:38

            ok, your note gives me some insight what could be going on.

            If you use import like that:



            Stop Python exe script from converting back
            Asked 2021-Dec-29 at 18:27

            For example, I have a Python file like this:



            Answered 2021-Dec-29 at 18:27

            You can use an obfuscation tool such as PyArmor and add at-least some level of code-protection to your original python script.

            The official documentation of PyArmor has more info on this here



            ModuleNotFoundError: No module named 'SLCT'
            Asked 2021-Dec-19 at 14:42

            English is not my mother tongue, so there might be some grammatical errors in my question.
            Sorry about that.

            I git clone a project from github to my VScode. When I wanted to run demo code, a "ModuleNotFoundError" occured. I was confused about this error. Because I checked module and it did exit, I also haven't install same name module before.
            Here is the project-tree of the project.(Only parts including "SLCT" are given)



            Answered 2021-Dec-19 at 14:42

            In order to run from SLCT import * inside file, you need to have the following directory structure:



            Query one more existing MSSQL DB from Linux
            Asked 2021-Dec-09 at 11:59

            I have deployed django application running on Linux (Ubuntu) in VirtualBox. The settings file database section looks like this.



            Answered 2021-Dec-03 at 11:11

            In general you specify settings like host, port, database_name etc. in

            On pipy is driver package django-mssql-backend for mssql connections. It provides a good where you can read more.

            In general, if you want to set mssql-server as default database, replace the default configuration with the mssql-config:



            Google Cloud Composer v2 health-check seems to be false negative/flaky
            Asked 2021-Dec-07 at 11:17

            We created a Composer v2 environment to migrate from Google Cloud Composer v1. All DAG code was adjusted and we are using the to this date newest available image composer-2.0.0-preview.5-airflow-2.1.4.

            We noticed that even though the CPU is relaxed and memory is plenty, the Web server health is flaky (red / green alternating every couple of minute on the environment monitoring page).

            For a test I removed the K8s health check on the webserver pod in K8s (and the startup probe as well). I then found that there is a call coming from the IP of the airflow-monitoring pod (, and shortly thereafter the gunicorn process receives a HUP:



            Answered 2021-Nov-18 at 17:42

            If you have configured core:default_timezone airflow configuration, environment health status is just a metric and it will not have any impact on the actual job/tasks execution.

            You can ignore the health status or you can remove the configuration to accept default UTC timezone.

            This is because Composer runs a liveness DAG named airflow_monitoring every 5 minutes and reports environment health as follow:

            • When the DAG run finishes successfully the health status is True.
            • If the DAG run fails, the health status is False.
            • If the DAG does not finish, Composer polls the DAG’s status every 5 minutes and reports False if the one-hour timeout occurs.



            Git Bash - Git is showing branches as being up to date when they actually aren't
            Asked 2021-Dec-06 at 07:30

            I've got two local branches, main and dev. When I try commiting and pushing changes from dev to main, it says everything is up to date and nothing actually happens. Additionally, my github repo does not reflect the latest changes in my local repo, even though I have tried pushing it up and it says it was successful. Commits are not showing on my new repo.

            When I type "git remote show origin", this is the output:



            Answered 2021-Dec-06 at 07:30

            When I try commiting and pushing changes from dev to main,

            What you are doing is pushing from dev to origin/dev.
            And since the remote repository display the default branch main, you don't "see" any obvious changes (you would need to switch to the dev branch in the web page in order to see your commit).

            You can merge dev locally to main, then push main:



            moduleNotFoundError: no module named (*)
            Asked 2021-Dec-02 at 21:04

             I'm trying to run my tests using python -m pytest but I get an error that ModuleNotFoundError: No module named 'sample' When using nosetests or anything else it works fine, but when trying to use pytest, it doesn't work. My tree looks like below, do you have any advice why it doesn't work?



            Answered 2021-Nov-30 at 15:52

            When you run pytest with python -m pytest it uses the current directory as it its working dir, which doesn't contain the sample module (located inside ./src). The way I deal with this is I have a inside my tests directory where I add my source dir to python path something like this:


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


            No vulnerabilities reported

            Install pyc

            You can download it from GitHub.
            You can use pyc 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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