MacModelShelf | small Python module that gives you nice human readable

by MagerValp Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | MacModelShelf Summary

MacModelShelf is a Python library typically used in Programming Style applications. MacModelShelf has no bugs, it has no vulnerabilities and it has low support. However MacModelShelf build file is not available. You can download it from GitHub.

A small Python module that gives you nice human readable Macintosh model names, e.g. "iMac (27-inch, Late 2009)", when given a serial number or model code.

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Quality

Security

License

Reuse

Support

MacModelShelf has a low active ecosystem.

It has 83 star(s) with 16 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MacModelShelf is current.

Quality

MacModelShelf has 0 bugs and 0 code smells.

Security

MacModelShelf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MacModelShelf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MacModelShelf does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

MacModelShelf releases are not available. You will need to build from source code and install.

MacModelShelf 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.

MacModelShelf saves you 40 person hours of effort in developing the same functionality from scratch.

It has 107 lines of code, 9 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Main entry point for the command line interface .
Dump mac modelshelfdump .
Lookup a mac model by code .
Lookup MAC model code from Apple .
Return the model code of a serial number .
Clean up the model .
Pretty print the given arguments .
Print str to stderr .

Get all kandi verified functions for this library.

MacModelShelf Key Features

No Key Features are available at this moment for MacModelShelf.

MacModelShelf Examples and Code Snippets

No Code Snippets are available at this moment for MacModelShelf.

Community Discussions

Trending Discussions on MacModelShelf

Reading and writing column data in Python with Pandas

QUESTION

Reading and writing column data in Python with Pandas

Asked 2018-Mar-01 at 06:08

This endeavour is a variation on the wonderful Mac Model Shelf. I have managed thus far to write the code myself that can read single Mac serial numbers at the command line and give back the corresponding model type, based on on the last 3 or 4 chars in the serial.

Write now I am trying to write a script to read-in the column data in an Excel file and return back the results for each cell in the neighbouring column.

The output Excel would hopefully looking something like this (with headers)...

...

ANSWER

Answered 2018-Feb-27 at 18:21

From the XlsxWriter docs, you'll need to call df.to_excel(writer) followed by writer.save().

To avoid that AttributeError, one fix (maybe not the most python-3-esque?) is to change inputSerial = inputSerial.upper() to inputSerial = str(inputSerial).upper().

Source https://stackoverflow.com/questions/49015337

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

Vulnerabilities

No vulnerabilities reported

Install MacModelShelf

You can download it from GitHub.
You can use MacModelShelf 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.

Support

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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