•        83

As a sample center, HelloWorld sketches the skeletons of most Microsoft development techniques. Each sample is elaborately selected, composed, and documented to demonstrate one frequently-asked/tested/used scenario based on my experience as a support engineer.




Related Projects


Watch Atl Madrid VS Athletic Bilbao Stream online PC TV Soapcast and Video Highlights, Atl Madrid VS Athletic Bilbao Stream Today. Get the free live Instant streaming Internet TV Links Here. Atl Madrid VS Athletic Bilbao live Stream Soccer match will be played at UEFA Europa League Most Enjoyable game On May 09-2012. UEFA Europa League Match Soccer lovers must watch this soccer match. Liverpool VS Chelsea exciting soccer match streaming live at 19.45 GMT. Get Instant access Here to watch Atl Mad

AzureUsageAndBillingPortal - This web application solution enables you to monitor the usage and billing for any Azure subscriptions you have access to

This project is designed to retrieve the usage details of all Azure services in a specific Azure subscription(s). Using PowerBI dashboard, one can retrieve up to date billing data (Azure service usage details) of a subscription that is registered to the system. First, any user with an active azure subscription has to register their subscription with the system through the registration website. To get registered, only the subscription owner's Microsoft ID (i.e. email address that ends with Hotmail.com, outlook.com etc.) or an organization ID (i.e. email address that ends with microsoft.com, fabrikam.com etc.) and subscription’s domain name is needed. Providing this data, a user can register their Azure subscription with the system. Once the subscription is registered, the system automatically retrieves the past 3 years (adjustable parameter) usage data and allows it to be viewed by a PowerBI dashboard. Additionally, every day at UTC 00:00 o’clock, the system automatically retrieves the previous day’s usage and billing data for each registered subscription in the system. By doing this, it keeps all records up to date on a daily basis. There is always a 1-day delay (currently you can’t retrieve the past few hours’ data immediately because the main Azure system collects all data from different datacenters within different time zones) on the data presented through PowerBI.The PowerBI dashboard allows users to filter data in realtime according to different parameters such as: Subscriptions, Services, SubServices, etc.

COM-ATL - just examples when i learn com/ATL, as a backup

just examples when i learn com/ATL, as a backup

DataScienceVM - Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. It is available on Windows Server 2016, Windows Server 2012, and on Linux. We offer Linux edition of the DSVM in either Ubuntu 16.04 LTS or on OpenLogic 7.2 CentOS-based Linux distributions. You can try the Data Science VM for free for 30 days (with $200 credits) with a free Azure Trial. The Linux (Ubuntu-based) DSVM also provides a test drive through a button on the product page. The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account (No Azure subscription or CC needed).On this repo, we will feature tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools or scripts, extensions you may have written to enhance the user experience on the DSVM.

AzureDSVM - AzureDSVM is an R package that offers convenient harness of Azure DSVM, remote execution of scalable and elastic data science work, and monitoring of on-demand resource consumption

The AzureDSVM (Azure Data Science Virtual Machine) is an R Package for Data Scientists working with the Azure compute platform as a complement to the underlying AzureSMR for controlling Azure Data Science Virtual Machines.Azure Data Science Virtual Machine (DSVM) is a powerful data science development environment with pre-installed tools and packages that empower data scientists for convenient data wrangling, model building, and service deployment.

Azure Table Encryption via Attribute

SSL isn't enough when storing data in the cloud. You need to protect data-at-rest from anyone who has access to your store. In addition your SSL data may be vulnerable to a man-in-the-middle technology or IT shops that inspect and log the SSL contents. Bluecoat is one examp...


The WABAccess component give an access to the Windows Address Book (or WAB) used by Outlook Express. It's a COM/ATL component that give an access from Visual Basic language or Scripting language (VBS) to WAB.

Customer-Churn-Demo-MRS-Spark-HDI - This demo demonstrates how to use Microsoft R Server, Azure HDInsight with R on Linux, Azure Machine Learning, Spark, Scala, and Hive to build an end-to-end, cloud solution for Retail Customer Churn

This demo demonstrates how to use Microsoft R Server, Azure HDInsight with R on Linux, Azure Machine Learning, Spark, Scala, Hive, etc. to build an end-to-end, cloud solution for Retail Customer Churn. The demo attempts to simulate the real-world use case of data placement/storage, feature engineering, model retraining, prediction, and visualization.An Azure subscription: Before you begin, you must have an Azure subscription that have access to Azure HDInsight, Azure Blob Storage, etc. See Get Azure free trial for more information.

IBPP, a C++ API for Firebird Server

IBPP is a C++ client class library for FirebirdSQL


JuraScript is... a native .NET script interpreter with COM/ActiveX support, JavaScript console and an MSI installer to add support for the .JUR file extension.

bearded-octo-hipster - American Dynamics SDK ActiveX/COM on Rails

American Dynamics SDK ActiveX/COM on Rails

cortana-intelligence-personalized-offers - Generate real-time personalized offers on a retail website to engage more closely with customers

In today’s highly competitive and connected environment, modern businesses can no longer survive with generic, static online content. Furthermore, marketing strategies using traditional tools are often expensive, hard to implement, and do not produce the desired return on investment. These systems often fail to take full advantage of the data collected to create a more personalized experience for the user. Surfacing offers that are customized for the user has become essential to build customer loyalty and remain profitable. On a retail website, customers desire intelligent systems which provide offers and content based on their unique interests and preferences. Today’s digital marketing teams can build this intelligence using the data generated from all types of user interactions. By analyzing massive amounts of data, marketers have the unique opportunity to deliver highly relevant and personalized offers to each user. However, building a reliable and scalable big data infrastructure, and developing sophisticated machine learning models that personalize to each user is not trivial.Cortana Intelligence provides advanced analytics tools through Microsoft Azure — data ingestion, data storage, data processing and advanced analytics components — all of the essential elements for building an demand forecasting for energy solution. This solution combines several Azure services to provide powerful advantages. Event Hubs collects real-time consumption data. Stream Analytics aggregates the streaming data and updates the data used in making personalized offers to the customer. Azure DocumentDB stores the customer, product and offer information. Azure Storage is used to manage the queues that simulate user interaction. Azure Functions are used as a coordinator for the user simulation and as the central portion of the solution for generating personalized offers. Azure Machine Learning implements and executes the product recommendations and when no user history is available Azure Redis Cache is used to provide pre-computed product recommendations for the customer. PowerBI visualizes the activity of the system with the data from DocumentDB.

WingTipTickets - Azure SQL Database WingTipTickets demo and hands on lab

Welcome to the WingTipTickets demo and hands-on-lab project.These files comprise a hands-on-lab that demostrates a number of the Azure Data Platform services including, Azure SQL Database, Azure SQL Data Warehouse, Azure Document DB, Azure Data Factory, Power BI and Azure Search. WingTipTickets is based sample application used to selling concert tickets and uses this set of services. Installing this into you're own Azure subscription is a great way to learn about Azure and how you might build applications that consume, transform, and visualize data.

DispHelper COM Helper Library

DispHelper is a COM helper library that can be used in C++ or even plain C. No MFC or ATL required! It allows you to call COM objects with a printf style syntax. Included with DispHelper are over 20 samples demonstrating using COM objects from ADO to WMI

Mini Shell Extension Framework

This project provides a C++ ATL template based mini framework that can be used to create Windows Shell (explorer) extensions.

com-chat - Simple ATL/WTL chat application.

Simple ATL/WTL chat application.

Com-- - ATL???????



The preview of Azure Machine Learning Python client library lets you access your Azure ML datasets from your local Python environment.You can download datasets that are available in your ML workspace, or intermediate datasets from experiments that were run. You can upload new datasets and update existing datasets. The data is optionally converted to/from a Pandas DataFrame.


This project is Java API to access Unicont Cardio Pager (http://unicont.ru/index2.html) device. This API allows access pager or get ECG data via serial port and through a modem line (using proprietary Windows ActiveX).


ATL ActiveX control for hosting and advanced customization of Multiple WebBrowser controls with HTTP and HTTPS protocol handlers.