MicrosoftDocs · ghogen · Aug 4, 2021 · Jul 21, 2021 · Jul 21, 2021 · Jul 22, 2021
diff --git a/docs/debugger/attach-to-running-processes-with-the-visual-studio-debugger.md b/docs/debugger/attach-to-running-processes-with-the-visual-studio-debugger.md
@@ -2,7 +2,7 @@
 title: "Attach to running processes with the debugger"
 description: Discover how to attach the Visual Studio debugger to a running process on a local or remote computer.
 ms.custom: "SEO-VS-2020"
-ms.date: "06/12/2020"
+ms.date: "06/28/2021"
 ms.topic: "conceptual"
 f1_keywords:
   - "vs.debug.processes.attach"

diff --git a/docs/debugger/using-breakpoints.md b/docs/debugger/using-breakpoints.md
@@ -2,7 +2,7 @@
 title: Use breakpoints in the debugger | Microsoft Docs
 description: Learn about breakpoints, one of the most important debugging techniques. The article covers breakpoint actions, tracepoints, conditions, and much more.
 ms.custom: SEO-VS-2020
-ms.date: 06/30/2020
+ms.date: 12/21/2020
 ms.topic: how-to
 f1_keywords: 
   - vs.debug.breakpointswin

diff --git a/docs/python/data-science-and-analytical-applications-workload.md b/docs/python/data-science-and-analytical-applications-workload.md
@@ -1,7 +1,7 @@
 ---
 title: Data Science and Analytical Applications workload
 description: This Visual Studio workload brings together Python, F#, and their respective runtime distributions including Anaconda. (R is also included in Visual Studio 2017 only.)
-ms.date: 02/28/2019
+ms.date: 07/28/2021
 ms.topic: overview
 author: JoshuaPartlow
 ms.author: joshuapa
@@ -54,7 +54,7 @@ By default, the workload installs the following options, which you can modify in
 - F# language support
 - Python:
   - Python language support
-  - [Anaconda3 64-bit](https://www.continuum.io), a Python distro that includes extensive data science libraries and a Python interpreter.
+  - [Anaconda3 64-bit](https://anaconda.com), a Python distro that includes extensive data science libraries and a Python interpreter.
   - Python web support
   - Cookiecutter template support
 - R:

diff --git a/docs/python/installing-python-interpreters.md b/docs/python/installing-python-interpreters.md
@@ -1,7 +1,7 @@
 ---
 title: Select and install Python interpreters
 description: A complete list of Python interpreters that are supported in Visual Studio with brief instructions on where to find their installers.
-ms.date: 06/05/2019
+ms.date: 07/28/2021
 ms.topic: how-to
 author: JoshuaPartlow
 ms.author: joshuapa
@@ -29,6 +29,9 @@ You can also manually install any of the interpreters listed in the table below
 
 For **Visual Studio 2015 and earlier**, you must manually install one of the interpreters.
 
+> [!Note]
+> Although Visual Studio offers to install the Anaconda distribution, your use of the distribution and additional packages from Anaconda Repository are bound by the [Anaconda Terms of Service](https://www.anaconda.com/terms-of-service). These terms may require some organizations to pay Anaconda for a commercial license, or else configure the tools to access an alternate repository. See the [Conda channels documentation](https://docs.conda.io/projects/conda/en/latest/user-guide/concepts/channels.html) for more information.
+
 Visual Studio (all versions) automatically detects each installed Python interpreter and its environment by checking the registry according to [PEP 514 - Python registration in the Windows registry](https://www.python.org/dev/peps/pep-0514/). Python installations are typically found under **HKEY_LOCAL_MACHINE\SOFTWARE\Python** (32-bit) and **HKEY_LOCAL_MACHINE\SOFTWARE\WOW6432Node\Python** (64-bit), then within nodes for the distribution such as **PythonCore** (CPython) and **ContinuumAnalytics** (Anaconda).
 
 If Visual Studio does not detect an installed environment, see [Manually identify an existing environment](managing-python-environments-in-visual-studio.md#manually-identify-an-existing-environment).
@@ -39,7 +42,7 @@ Visual Studio shows all known environments in the [**Python Environments**](mana
 | --- | --- |
 | [CPython](https://www.python.org/) | The "native" and most commonly-used interpreter, available in 32-bit and 64-bit versions (32-bit recommended). Includes the latest language features, maximum Python package compatibility, full debugging support, and interop with [IPython](https://ipython.org/). See also: [Should I use Python 2 or Python 3?](https://wiki.python.org/moin/Python2orPython3). Note that Visual Studio 2015 and earlier do not support Python 3.6+ and can give errors like **Unsupported python version 3.6**. Use Python 3.5 or earlier instead. |
 | [IronPython](https://github.com/IronLanguages/ironpython2) | A .NET implementation of Python, available in 32-bit and 64-bit versions, providing C#/F#/Visual Basic interop, access to .NET APIs, standard Python debugging (but not C++ mixed-mode debugging), and mixed IronPython/C# debugging. IronPython, however, does not support virtual environments. |
-| [Anaconda](https://www.continuum.io) | An open data science platform powered by Python, and includes the latest version of CPython and most of the difficult-to-install packages. We recommend it if you can't otherwise decide. |
+| [Anaconda](https://anaconda.com) | An open data science platform powered by Python, and includes the latest version of CPython and most of the difficult-to-install packages. We recommend it if you can't otherwise decide. |
 | [PyPy](https://www.pypy.org/) | A high-performance tracing JIT implementation of Python that's good for long-running programs and situations where you identify performance issues but cannot find other resolutions. Works with Visual Studio but with limited support for advanced debugging features. |
 | [Jython](https://www.jython.org/) | An implementation of Python on the Java Virtual Machine (JVM). Similar to IronPython, code running in Jython can interact with Java classes and libraries, but may not be able to use many libraries intended for CPython. Works with Visual Studio but with limited support for advanced debugging features. |
 

diff --git a/docs/python/interactive-repl-ipython.md b/docs/python/interactive-repl-ipython.md
@@ -1,7 +1,7 @@
 ---
 title: IPython REPL (interactive window)
 description: Use the Visual Studio interactive window in IPython mode for a user-friendly interactive development environment with Interactive Parallel Computing features.
-ms.date: 01/28/2019
+ms.date: 07/28/2021
 ms.topic: how-to
 author: JoshuaPartlow
 ms.author: joshuapa
@@ -16,7 +16,7 @@ ms.workload:
 
 The Visual Studio **Interactive** window in IPython mode is an advanced yet user-friendly interactive development environment that has Interactive Parallel Computing features. This article walks through using IPython in the Visual Studio **Interactive** window, in which all of the regular [Interactive window](python-interactive-repl-in-visual-studio.md) features are also available.
 
-For this walkthrough you should have the [Anaconda](https://www.continuum.io) environment installed, which includes IPython and the necessary libraries.
+For this walkthrough, you will need to have installed IPython, numpy and matplotlib. If you are using Anaconda, these libraries are already installed. The rest of the walkthrough assumes you are using Anaconda.
 
 > [!Note]
 > IronPython does not support IPython, despite the fact that you can select it on the **Interactive Options** form. For more information see the [feature request](https://github.com/Microsoft/PTVS/issues/84).