NEU-365P-385L-Spring-2021
kandi X-RAY | NEU-365P-385L-Spring-2021 Summary
kandi X-RAY | NEU-365P-385L-Spring-2021 Summary
NEU-365P-385L-Spring-2021 is a Jupyter Notebook library. NEU-365P-385L-Spring-2021 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
NEU-365P-385L-Spring-2021
NEU-365P-385L-Spring-2021
Support
Quality
Security
License
Reuse
Support
NEU-365P-385L-Spring-2021 has a low active ecosystem.
It has 10 star(s) with 16 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
NEU-365P-385L-Spring-2021 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NEU-365P-385L-Spring-2021 is current.
Quality
NEU-365P-385L-Spring-2021 has no bugs reported.
Security
NEU-365P-385L-Spring-2021 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
NEU-365P-385L-Spring-2021 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
NEU-365P-385L-Spring-2021 releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
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NEU-365P-385L-Spring-2021 Key Features
No Key Features are available at this moment for NEU-365P-385L-Spring-2021.
NEU-365P-385L-Spring-2021 Examples and Code Snippets
No Code Snippets are available at this moment for NEU-365P-385L-Spring-2021.
Community Discussions
No Community Discussions are available at this moment for NEU-365P-385L-Spring-2021.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NEU-365P-385L-Spring-2021
[Hopefully this step is no longer necessary, but I'll leave these instructions just in case.].
Get the Anaconda Python distribution (latest version 3.x) from https://www.anaconda.com/download and just follow the install steps. Anaconda comes with a bunch of useful scientific libraries such as Numpy and Scipy that you would otherwise have to install yourself.
[Hopefully this step is no longer necessary, but I'll leave these instructions just in case.] !!! MacOS Catalina ONLY !!! If you are running MacOS Catalina, you might run into this problem: Anaconda creates a .bash_profile file in your home directory that needs to be renamed to .zprofile in Catalina (does NOT apply to older versions of MacOS).
Launch Anaconda Navigator. Install JupyterLab and Spyder via the widgets in the Home tab. JupyterLab is a web-based python notebook and Spyder is an environment for running Python that is similar to MATLAB.
Get R from https://cran.revolutionanalytics.com/index.html and run the installer.
Get RStuio Desktop from https://www.rstudio.com/. This is an environment for running R that is similar to MATLAB.
I recommend just following the instructions at https://docs.junolab.org/latest/man/installation/. Get the latest stable release. I also recommend installing the Atom editor and Juno IDE.
UT students have free access to MATLAB. Note, once you've registered you can also use MATLAB via an online interface that mimicks the application environment at https://matlab.mathworks.com.
Go to www.mathworks.com and create a user account. Your username MUST be your UT email address!
Go to UT Service Now and request MATLAB. Click the Request button in the MATLAB for Students Only box near the bottom of the page. Your request may take a day or two to process, so don't delay.
Sign in to your mathworks account and you should see a license from UT is available to you. Use that license to download MATLAB (latest version). Then run the installer. If you can afford the space (>20 GB) get all the toolboxes that you can. If not, get at least those toolboxes listed at https://www.mathworks.com/products.html under the MATLAB product family sections 'Math, Statistics, and Optimization', 'Signal Processing', 'Image Processing' and 'Computational Biology'.
Go to https://github.com and create an account if you don't already have one.
Go to https://desktop.github.com and download the GitHub Desktop app.
Open the app and select File->Clone Repository. Select URL and enter the URL of this repository (https://github.com/marcel-goldschen-ohm/NEU-365P-385L-Spring-2021), then click 'Clone'. This will download all of the files in this repository to a folder on your computer. To navigate to the folder from GitHub Desktop select Repository->Show in Finder (that's for MacOS, wording may differ on Windows machines).
Whenever you want to make sure that you have the latest version of all files in the repository, select Repository->Pull to download ONLY what has changed since the last time you downloaded the repository.
To make sure you do not overwrite any homework assignment files, I recommend copying all of the homeworks into a separate folder on your computer rather than editing the files directly in the GitHub repository folder.
Get the Anaconda Python distribution (latest version 3.x) from https://www.anaconda.com/download and just follow the install steps. Anaconda comes with a bunch of useful scientific libraries such as Numpy and Scipy that you would otherwise have to install yourself.
[Hopefully this step is no longer necessary, but I'll leave these instructions just in case.] !!! MacOS Catalina ONLY !!! If you are running MacOS Catalina, you might run into this problem: Anaconda creates a .bash_profile file in your home directory that needs to be renamed to .zprofile in Catalina (does NOT apply to older versions of MacOS).
Launch Anaconda Navigator. Install JupyterLab and Spyder via the widgets in the Home tab. JupyterLab is a web-based python notebook and Spyder is an environment for running Python that is similar to MATLAB.
Get R from https://cran.revolutionanalytics.com/index.html and run the installer.
Get RStuio Desktop from https://www.rstudio.com/. This is an environment for running R that is similar to MATLAB.
I recommend just following the instructions at https://docs.junolab.org/latest/man/installation/. Get the latest stable release. I also recommend installing the Atom editor and Juno IDE.
UT students have free access to MATLAB. Note, once you've registered you can also use MATLAB via an online interface that mimicks the application environment at https://matlab.mathworks.com.
Go to www.mathworks.com and create a user account. Your username MUST be your UT email address!
Go to UT Service Now and request MATLAB. Click the Request button in the MATLAB for Students Only box near the bottom of the page. Your request may take a day or two to process, so don't delay.
Sign in to your mathworks account and you should see a license from UT is available to you. Use that license to download MATLAB (latest version). Then run the installer. If you can afford the space (>20 GB) get all the toolboxes that you can. If not, get at least those toolboxes listed at https://www.mathworks.com/products.html under the MATLAB product family sections 'Math, Statistics, and Optimization', 'Signal Processing', 'Image Processing' and 'Computational Biology'.
Go to https://github.com and create an account if you don't already have one.
Go to https://desktop.github.com and download the GitHub Desktop app.
Open the app and select File->Clone Repository. Select URL and enter the URL of this repository (https://github.com/marcel-goldschen-ohm/NEU-365P-385L-Spring-2021), then click 'Clone'. This will download all of the files in this repository to a folder on your computer. To navigate to the folder from GitHub Desktop select Repository->Show in Finder (that's for MacOS, wording may differ on Windows machines).
Whenever you want to make sure that you have the latest version of all files in the repository, select Repository->Pull to download ONLY what has changed since the last time you downloaded the repository.
To make sure you do not overwrite any homework assignment files, I recommend copying all of the homeworks into a separate folder on your computer rather than editing the files directly in the GitHub repository folder.
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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