ThinkDSP | Think DSP: Digital Signal Processing in Python, by Allen B Downey | Audio Utils library

by AllenDowney Jupyter Notebook Version: Current License: No License

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kandi X-RAY | ThinkDSP Summary

ThinkDSP is a Jupyter Notebook library typically used in Audio, Audio Utils applications. ThinkDSP has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

LaTeX source and Python code for Think DSP: Digital Signal Processing in Python, by Allen B. Downey. The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. I am writing this book because I think the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors. With a programming-based approach, I can go top-down, which means I can present the most important ideas right away. By the end of the first chapter, you can break down a sound into its harmonics, modify the harmonics, and generate new sounds.

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ThinkDSP has a medium active ecosystem.

It has 3364 star(s) with 2924 fork(s). There are 229 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 48 have been closed. On average issues are closed in 488 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ThinkDSP is current.

Quality

ThinkDSP has 0 bugs and 0 code smells.

Security

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

ThinkDSP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ThinkDSP 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

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

Installation instructions, examples and code snippets are available.

It has 3831 lines of code, 551 functions and 18 files.

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

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ThinkDSP Key Features

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ThinkDSP Examples and Code Snippets

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Community Discussions

Trending Discussions on ThinkDSP

ImportError: DLL load failed: The specified procedure could not be found. (thinkdsp and thinkplot)

QUESTION

ImportError: DLL load failed: The specified procedure could not be found. (thinkdsp and thinkplot)

Asked 2020-Aug-17 at 18:55

I am an amateur programmer. I am trying to use:

import thinkdsp as dsp

import thinkplot as plt

I have installed the pip install thinkx module but I keep getting that error and I don't understand why. I will leave what the console shows down below:

...

ANSWER

Answered 2020-Aug-14 at 11:02

Run any command prompt you are using as administrator and then run pip install lib_name --force-reinstall

Source https://stackoverflow.com/questions/63411481

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

Vulnerabilities

No vulnerabilities reported

Install ThinkDSP

First, download the files from this repository. If you are a Git user, you can run. Otherwise you can download this Zip file and unzip it. Either way, you should end up with a directory called ThinkDSP. Now, if you don't already have Jupyter, I highly recommend installing Anaconda, which is a Python distribution that contains everything you need to run the ThinkDSP code. It is easy to install on Windows, Mac, and Linux, and because it does a user-level install, it will not interfere with other Python installations. If you have the choice of Python 2 or 3, choose Python 3. There are two ways to get the packages you need for ThinkDSP. You can install them by hand or create a Conda environment. To install them by hand run. Or, to create a conda environment, run.

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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