Student-Materials | Specification files for the Foundations of Applied
kandi X-RAY | Student-Materials Summary
kandi X-RAY | Student-Materials Summary
Student-Materials is a Python library typically used in Institutions, Learning, Education applications. Student-Materials has no bugs, it has no vulnerabilities and it has low support. However Student-Materials build file is not available. You can download it from GitHub.
This repository contains specifications files for the Foundations of Applied Mathematics labs. Skip down to Setup for setup instructions. The labs in this curriculum aim to introduce computational and mathematical concepts, walk through implementations of those concepts in Python, and use industrial-grade code to solve interesting, relevant problems. Lab assignments are usually about 5-10 pages long and include code examples (yellow boxes), important notes (green boxes), warnings about common errors (red boxes), and about 3-7 exercises (blue boxes). The lab manuals can be downloaded from foundations-of-applied-mathematics.github.io.
This repository contains specifications files for the Foundations of Applied Mathematics labs. Skip down to Setup for setup instructions. The labs in this curriculum aim to introduce computational and mathematical concepts, walk through implementations of those concepts in Python, and use industrial-grade code to solve interesting, relevant problems. Lab assignments are usually about 5-10 pages long and include code examples (yellow boxes), important notes (green boxes), warnings about common errors (red boxes), and about 3-7 exercises (blue boxes). The lab manuals can be downloaded from foundations-of-applied-mathematics.github.io.
Support
Quality
Security
License
Reuse
Support
Student-Materials has a low active ecosystem.
It has 32 star(s) with 36 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
Student-Materials has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Student-Materials is current.
Quality
Student-Materials has no bugs reported.
Security
Student-Materials has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Student-Materials 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
Student-Materials releases are not available. You will need to build from source code and install.
Student-Materials has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Student-Materials and discovered the below as its top functions. This is intended to give you an instant insight into Student-Materials implemented functionality, and help decide if they suit your requirements.
- Draw the graph
- Add an edge to the graph
- Add a new node
- Put an item into the backend
- Adds an item to the list
- Take an item off the stack
- Removes an item from the list
- Insert data into the BST
- Find the node in the tree
- Insert data into the list
- Return the height of the branch
- Rotate the left node
- Rebuild a node
- Rotate the node
- Returns the balance factor
Get all kandi verified functions for this library.
Student-Materials Key Features
No Key Features are available at this moment for Student-Materials.
Student-Materials Examples and Code Snippets
No Code Snippets are available at this moment for Student-Materials.
Community Discussions
No Community Discussions are available at this moment for Student-Materials.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Student-Materials
WARNING: We strongly recommend using a Unix-based operating system (Mac or Linux) for the labs. Unix has a true bash terminal, works well with git and python, and is the preferred platform for computational and data scientists. It is possible to do this curriculum with Windows, but expect some road bumps along the way. This website is a git repository, an online storage place for code and other small files. Git is the underlying program that manages updates between this online repository and the copies of the repository, called clones, stored locally on computers. If git is not already installed on your computer, download it at http://git-scm.com/downloads. If you have never used git, you might want to read a few of the following resources. There are many websites for hosting online git repositories. Your instructor will indicate which web service to use, but we only include instructions here for setup with Bitbucket. For example, if your Bitbucket username is greek314, the repository is called acmev1, and the folder is called Student-Materials/ and is on the desktop, enter the following commands. If you enter the repository URL incorrectly in the git remote add origin step, you can reset it with the following line. You can also find individual data files through Student-Materials/wiki/Lab-Index.
Official git tutorial
Bitbucket git tutorials
GitHub git cheat sheet
GitLab git tutorial
Codecademy git lesson
Training video series by GitHub
Sign up. Create a Bitbucket account at https://bitbucket.org. If you use an academic email address (ending in .edu, etc.), you will get free unlimited public and private repositories.
Make a new repository. On the Bitbucket page, click the + button from the menu on the left and, under CREATE, select Repository. Provide a name for the repository, mark the repository as private, and make sure the repository type is Git. For Include a README?, select No (if you accidentally include a README, delete the repository and start over). For Include a .gitignore?, select No (if you accidentally include a .gitignore, delete the repository and start over). Under Advanced settings, enter a short description for your repository, select No forks under forking, and select Python as the language. Finally, click the blue Create repository button. Take note of the URL of the webpage that is created; it should be something like https://bitbucket.org/<name>/<repo>.
Give the instructor access to your repository. On your newly created Bitbucket repository page (https://bitbucket.org/<name>/<repo> or similar), go to Settings in the menu to the left and select User and group access, the second option from the top. Enter your instructor's Bitbucket username under Users and click Add. Select the blue Write button so your instructor can read from and write feedback to your repository.
Connect your folder to the new repository. In a shell application (Terminal on Linux or Mac, or Git Bash on Windows), enter the following commands.
Download data files. Many labs have accompanying data files. To download these files, navigate to your clone and run the download_data.sh bash script, which downloads the files and places them in the correct lab folder for you.
Install Python package dependencies. The labs require several third-party Python packages that don't come bundled with Anaconda. Run the following command to install the necessary packages.
(Optional) Clone your repository. If you want your repository on another computer after completing steps 1-4, use the following commands.
Official git tutorial
Bitbucket git tutorials
GitHub git cheat sheet
GitLab git tutorial
Codecademy git lesson
Training video series by GitHub
Sign up. Create a Bitbucket account at https://bitbucket.org. If you use an academic email address (ending in .edu, etc.), you will get free unlimited public and private repositories.
Make a new repository. On the Bitbucket page, click the + button from the menu on the left and, under CREATE, select Repository. Provide a name for the repository, mark the repository as private, and make sure the repository type is Git. For Include a README?, select No (if you accidentally include a README, delete the repository and start over). For Include a .gitignore?, select No (if you accidentally include a .gitignore, delete the repository and start over). Under Advanced settings, enter a short description for your repository, select No forks under forking, and select Python as the language. Finally, click the blue Create repository button. Take note of the URL of the webpage that is created; it should be something like https://bitbucket.org/<name>/<repo>.
Give the instructor access to your repository. On your newly created Bitbucket repository page (https://bitbucket.org/<name>/<repo> or similar), go to Settings in the menu to the left and select User and group access, the second option from the top. Enter your instructor's Bitbucket username under Users and click Add. Select the blue Write button so your instructor can read from and write feedback to your repository.
Connect your folder to the new repository. In a shell application (Terminal on Linux or Mac, or Git Bash on Windows), enter the following commands.
Download data files. Many labs have accompanying data files. To download these files, navigate to your clone and run the download_data.sh bash script, which downloads the files and places them in the correct lab folder for you.
Install Python package dependencies. The labs require several third-party Python packages that don't come bundled with Anaconda. Run the following command to install the necessary packages.
(Optional) Clone your repository. If you want your repository on another computer after completing steps 1-4, use the following commands.
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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