Scripts

A python script generates a text file with insert queries for the schema.sql file of the assignment

This is python script generates a text file with insert queries for the schema.sql file of the assignment. DISCLAIMER: I have no idea how the actual datasets should look, this is only my idea of how it could look. I take no responsibly if this dataset is not nearly similar of how the assignment will actually be graded Running this script: Install require packages with: pip install -r requirements.txt Then run: Enjoy the results on insert_queries.txt Collaborate: Hey guys please […]

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PDF

Searching keywords in PDF file folders

Steps to use this Python scripts：(1)Paste this script into the file folder containing the PDF files you need to search from;(2)This file is based in anaconda envirionment and requires the Python package: PDfMiner;(3)Run this file and input a keyword;(4)You can orientate the keyword in detailed line and passage now! GitHub View Github    

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Database

Sample code to extract data directly from the NetApp AIQUM MySQL Database

This sample code shows how to connect to the AIQUM Database and pull userquota details from it. AIQUM Requirements: 1. AIQUM 9.7 or higher. 2. An AIQUM “Database User” account with the “Report Schema” role. Python Requirements: 1. The mysql-connector-python module must be installed. AIQUM Database Schema documentation is on the NetApp Support Site: https://mysupport.netapp.com/documentation/docweb/index.html?productID=63834 Using aiqum_user_quota_report.py

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Django

A simple E-commerce shop made with Django and Bulma

A Simple E-Commerce app made with Django Instructions Make sure you have python installed Step 1. Open a terminal Step 2. Paste the given code in the terminal git clone https://github.com/foxy4096/Interiorshop Step 3. Now type this in the terminal Step 4. Now paste this in the terminal python -m venv env # and .envScriptsactivate or for *nix system source .envScriptsactivate #and then type pip install -r requirements.txt Step 5. Now type

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Analysis

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data

This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework. Despite enormous research interest and rapid application of federated learning (FL) to various areas, existing studies mostly focus on supervised federated learning under the horizontally partitioned local dataset setting. This paper will study the unsupervised FL under the vertically partitioned dataset setting. Server-Clients Architecture Figure 1.: Server-Clients Architecture Master Branch

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Python

Using plt.scatter() to Visualize Data in Python

An important part of working with data is being able to visualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules is Matplotlib and its submodule pyplot, often referred to using the alias plt. Matplotlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter plots. In this course, you’ll learn how to: Create a scatter plot using plt.scatter() Use the required and […]

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Quiz

A Quiz with different topics with python

QuizGame is a quiz with different topics. You can choose a topic and take the quiz. In the end you will get your result. The program is under active development, so there may be errors or flaws in it. To install the latest version of the program, enter the following commands: git clone https://github.com/GrobranGG/QuizGame-python cd QuizGame-python pip install -r requirements.txt python main.py At the moment, the project has version 1.0. You can download the latest version on the repository. This […]

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Tool

A python tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot

This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you should prepare is the phased vcf file containg the data of populations you intrested and the outgroup, the outgroup name file, and the annotation file. Enjoy it!!! It has four models: 0：Using all function, from original vcf data to sfs barplot    

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