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‎16 - Calling APIs/readme.md

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‎CODE_OF_CONDUCT.md

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# Microsoft Open Source Code of Conduct
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/?WT.mc_id=python-c9-niner).
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Resources:
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- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
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- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
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- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns
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- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/?WT.mc_id=python-c9-niner)
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- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/?WT.mc_id=python-c9-niner)
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- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com?WT.mc_id=python-c9-niner) with questions or concerns

‎README.md

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## Overview
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The series of videos on Channel 9 is designed to help get you up to speed on Python. If you're a beginning developer who's looking to add Python to your quiver of languages, or trying to get started on a data science or web project, these videos can help teach you the foundation necessary to walk through a quick start or other tutorial.
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These threes series on Channel 9 and YouTube are designed to help get you up to speed on Python. If you're a beginning developer looking to add Python to your quiver of languages, or trying to get started on a data science or web project which uses Python, these videos are here to help show you the foundations necessary to walk through a tutorial or other quick start.
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We do assume you are familiar with another programming language, and some core programming concepts. For example, we highlight the syntax for boolean expressions and creating classes, but we don't dig into what a [boolean](https://en.wikipedia.org/wiki/Boolean_data_type) is or [object oriented design](https://en.wikipedia.org/wiki/Object-oriented_design). We show you how to perform the tasks you're familiar with in other languages in Python.
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### What you'll learn
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- The basics of Python
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- Starting a project
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- Common syntax
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- Package management
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### What we don't cover
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- Class design and inheritance
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- Asynchronous programming
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- Basics of programming
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- Popular packages
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## Prerequisites
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- Light experience with another programming language, such as [JavaScript](https://www.edx.org/course/javascript-introduction), [Java](https://www.java.com) or [C#](https://docs.microsoft.com/dotnet/csharp/)
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- [An understanding of Git](https://git-scm.com/book/en/v1/Getting-Started)
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- Light experience with another programming language, such as [JavaScript](https://www.edx.org/course/javascript-introduction)
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## Courses
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### Getting started
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[Python for beginners](https://aka.ms/pythonbeginnerseries) is the perfect starting location for getting started. No Python experience is required! We'll show you how to set up [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=python-c9-niner) as your code editor, and start creating Python code. You'll see how to manage create, structure and run your code, how to manage packages, and even make [REST calls](https://en.wikipedia.org/wiki/Representational_state_transfer).
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### Dig a little deeper
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[More Python for beginners](https://aka.ms/morepython) digs deeper into Python syntax. You'll explore how to create classes and mixins in Python, how to work with the file system, and introduce `async/await`. This is the perfect next step if you're looking to see a bit more of what Python can do.
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### Peek at data science tools
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[Even more Python for beginners](https://aka.ms/evenmorepython) is a practical exploration of a couple of the most common packages and tools you'll use when working with data and machine learning. While we won't dig into why you choose particular machine learning models (that's another course), you will get hands on with Jupyter Notebooks, and create and test models using scikit-learn and pandas.
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## Next steps
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As the goal of this course is to help get you up to speed on Python so you can work through a quick start, the next step after completing the videos is to follow a tutorial! Here's a few of our favorites:
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As the goal of these courses is to help get you up to speed on Python so you can work through a quick start. The next step after completing the videos is to follow a tutorial! Here's a few of our favorites:
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- [Quickstart: Detect faces in an image using the Face REST API and Python](https://docs.microsoft.com/en-us/azure/cognitive-services/face/QuickStarts/Python?WT.mc_id=python-c9-niner)
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- [Quickstart: Analyze a local image using the Computer Vision REST API and Python](https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts/python-disk?WT.mc_id=python-c9-niner)
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- [Quickstart: Using the Python REST API to call the Text Analytics Cognitive Service](https://docs.microsoft.com/en-us/azure/cognitive-services/Text-Analytics/quickstarts/python?WT.mc_id=python-c9-niner)
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- [Tutorial: Build a Flask app with Azure Cognitive Services](https://docs.microsoft.com/en-us/azure/cognitive-services/translator/tutorial-build-flask-app-translation-synthesis)
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- [Quickstart: Detect faces in an image using the Face REST API and Python](https://docs.microsoft.com/azure/cognitive-services/face/QuickStarts/Python?WT.mc_id=python-c9-niner?WT.mc_id=python-c9-niner)
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- [Quickstart: Analyze a local image using the Computer Vision REST API and Python](https://docs.microsoft.com/azure/cognitive-services/computer-vision/quickstarts/python-disk?WT.mc_id=python-c9-niner?WT.mc_id=python-c9-niner)
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- [Quickstart: Using the Python REST API to call the Text Analytics Cognitive Service](https://docs.microsoft.com/azure/cognitive-services/Text-Analytics/quickstarts/python?WT.mc_id=python-c9-niner?WT.mc_id=python-c9-niner)
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- [Tutorial: Build a Flask app with Azure Cognitive Services](https://docs.microsoft.com/azure/cognitive-services/translator/tutorial-build-flask-app-translation-synthesis?WT.mc_id=python-c9-niner)
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- [Flask tutorial in Visual Studio Code](https://code.visualstudio.com/docs/python/tutorial-flask?WT.mc_id=python-c9-niner)
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- [Django tutorial in Visual Studio Code](https://code.visualstudio.com/docs/python/tutorial-django?WT.mc_id=python-c9-niner)
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- [Predict flight delays by creating a machine learning model in Python](https://docs.microsoft.com/learn/modules/predict-flight-delays-with-python?WT.mc_id=python-c9-niner)
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## Contributing
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This project welcomes contributions and suggestions. Most contributions require you to agree to a
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Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
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the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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When you submit a pull request, a CLA bot will automatically determine whether you need to provide
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a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
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provided by the bot. You will only need to do this once across all repos using our CLA.
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When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

‎SECURITY.md

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## Security
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Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [many more](https://opensource.microsoft.com/).
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Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [many more](https://opensource.microsoft.com/?WT.mc_id=python-c9-niner).
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If you believe you have found a security vulnerability in any Microsoft-owned repository that meets Microsoft's [definition](https://docs.microsoft.com/en-us/previous-versions/tn-archive/cc751383(v=technet.10)) of a security vulnerability, please report it to us as described below.
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If you believe you have found a security vulnerability in any Microsoft-owned repository that meets Microsoft's [definition](https://docs.microsoft.com/previous-versions/tn-archive/cc751383(v=technet.10)?WT.mc_id=python-c9-niner) of a security vulnerability, please report it to us as described below.
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## Reporting Security Issues
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**Please do not report security vulnerabilities through public GitHub issues.**
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Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://msrc.microsoft.com/create-report).
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Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://msrc.microsoft.com/create-report?WT.mc_id=python-c9-niner).
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If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the the [Microsoft Security Response Center PGP Key page](https://www.microsoft.com/en-us/msrc/pgp-key-msrc).
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If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the the [Microsoft Security Response Center PGP Key page](https://www.microsoft.com/msrc/pgp-key-msrc?WT.mc_id=python-c9-niner).
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You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc).
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You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc?WT.mc_id=python-c9-niner).
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Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
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This information will help us triage your report more quickly.
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If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://microsoft.com/msrc/bounty) page for more details about our active programs.
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If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://microsoft.com/msrc/bounty?WT.mc_id=python-c9-niner) page for more details about our active programs.
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## Preferred Languages
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We prefer all communications to be in English.
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## Policy
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Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://www.microsoft.com/en-us/msrc/cvd).
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Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://www.microsoft.com/msrc/cvd?WT.mc_id=python-c9-niner).
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<!-- END MICROSOFT SECURITY.MD BLOCK -->

‎even-more-python-for-beginners-data-tools/01 - Jupyter Notebooks/README.md

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# Jupyter Notebooks
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Jupyter Notebooks are an open source web application that allows you to create and share Python code. They are frequently used for data science. The code samples in this course are completed using Jupyter Notebooks which have a .ipynb file extension.
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## Documentation
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- [Jupyter](https://jupyter.org/) to install Jupyter so you can run Jupyter Notebooks locally on your computer
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- [Jupyter Notebook viewer](https://nbviewer.jupyter.org/) to view Jupyter Notebooks in this GitHub repository without installing Jupyter
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- [Azure Notebooks](https://notebooks.azure.com/) to create a free Azure Notebooks account to run Notebooks in the cloud
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- [Create and run a notebook](https://docs.microsoft.com/azure/notebooks/tutorial-create-run-jupyter-notebook?WT.mc_id=python-c9-niner) is a tutorial that walks you through the process of using Azure Notebooks to create a complete Jupyter Notebook that demonstrates linear regression
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- [How to create and clone projects](https://docs.microsoft.com/azure/notebooks/create-clone-jupyter-notebooks?WT.mc_id=python-c9-niner) to create a project
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- [Manage and configure projects in Azure Notebooks](https://docs.microsoft.com/azure/notebooks/configure-manage-azure-notebooks-projects?WT.mc_id=python-c9-niner) to upload Notebooks to your project
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## Microsoft Learn Resources
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Explore related tutorials on [Microsoft Learn](https://learn.microsoft.com/?WT.mc_id=python-c9-niner).
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- [Intro to machine learning with Python and Azure Notebooks](https://docs.microsoft.com/learn/paths/intro-to-ml-with-python/?WT.mc_id=python-c9-niner)

‎even-more-python-for-beginners-data-tools/02 - Introduction to Anaconda and Conda/README.md

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# Anaconda
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[Anaconda](https://www.anaconda.com/) is an open source distribution of Python and R for data science. It includes more than 1500 packages, a graphical interface called Anaconda Navigator, a command line interface called Anaconda prompt and a tool called Conda.
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## Conda
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Python code often relies on external libraries stored in packages. Conda is an open source package management system and environment management system. Conda helps you manage environments and install packages for Jupyter Notebooks.
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## Documentation
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- [Conda home page](https://docs.conda.io/)
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- [Managing Conda environments](https://docs.conda.io/projects/conda/latest/user-guide/tasks/manage-environments.html) to find links and instructions for creating Conda environments, activating, and de-activating Conda environments
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- [Managing packages](https://docs.conda.io/projects/conda/latest/user-guide/getting-started.html#managing-packages) to learn how to install packages in a Conda environment
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- [Conda cheat sheet](https://docs.conda.io/projects/conda/latest/user-guide/cheatsheet.html) is a handy quick reference of common Conda commands

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