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Here is a source code for a simple inventory management system using Google Apps Script: function checkInventory() {   var sheet = SpreadsheetApp.getActiveSheet();   var data = sheet.getDataRange().getValues();      var message = "Inventory:\n";      for (var i = 1; i < data.length; i++) {     var item = data[i][0];     var quantity = data[i][1];     message += item + ": " + quantity + "\n";   }      Browser.msgBox(message); } function updateInventory(item, amount) {   var sheet = SpreadsheetApp.getActiveSheet();   var data = sheet.getDataRange().getValues();      for (var i = 1; i < data.length; i++) {     if (data[i][0] == item) {       var newQuantity = parseInt(data[i][1]) + amount;       sheet.getRange(i+1, 2).setValue(newQuantity);       break;     }   } } function submitForm(e) {   var i...

  Here are some examples of machine learning models that can be used in an IT company management system and their corresponding code: Resource allocation using clustering: # Load the required libraries and data import pandas as pd from sklearn.cluster import KMeans data = pd.read_csv('resource_data.csv') # Apply KMeans clustering to identify groups of resources with similar skill sets kmeans = KMeans(n_clusters=3) kmeans.fit(data[['skill_1', 'skill_2', 'skill_3']]) # Assign each resource to a cluster cluster_labels = kmeans.predict(data[['skill_1', 'skill_2', 'skill_3']]) data['cluster'] = cluster_labels # Allocate resources based on cluster assignments project_data = pd.read_csv('project_data.csv') project_data['resource_cluster'] = kmeans.predict(project_data[['required_skill_1', 'required_skill_2', 'required_skill_3']]) resource_allocation = project_data.groupby('resource_clus...

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Django Tutorial in Visual Studio Code Django is a high-level Python framework designed for rapid, secure, and scalable web development. Django includes rich support for URL routing, page templates, and working with data. In this Django tutorial, you create a simple Django app with three pages that use a common base template. You create this app in the context of Visual Studio Code in order to understand how to work with Django in the VS Code terminal, editor, and debugger. This tutorial does not explore various details about Django itself, such as working with data models and creating an administrative interface. For guidance on those aspects, refer to the Django documentation links at the end of this tutorial. The completed code project from this Django tutorial can be found on GitHub:  python-sample-vscode-django-tutorial . If you have any problems, you can search for answers or ask a question on the  Python extension Discussions Q&A . Prerequisites To successfully compl...

  A re you familiar with Docker? If so, you may already know that today, most of the web applications out there are being dockerized. That’s means, using Docker, it’ll be much easier for the applications to run on different devices, no matter what operating systems or environments we’re working on. Because Docker ensures the consistencies of your dependencies in one place. It starts with the development from your local machine, then maybe some integration tests in the middle of it, and finally publish your app into the production environment. Imagine you’re developing your app in the Mac Operation System right now, then you need the Swoole or other extensions for your PHP extension, which means you need to install those extensions manually in your local. Then, you may deploy your app to the Ubuntu server. What do you do? Of course, you need to install those extensions on the server, right? With different types of installation commands, you could encounter some errors, bugs, and so ...