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Merge pull request #12 from dfe-analytical-services/update-python-r
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Update python r
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cjrace authored Oct 10, 2023
2 parents 19f2351 + 4d091a1 commit 2374214
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3 changes: 1 addition & 2 deletions learning-development/learning-support.qmd
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---


As analysts and statistics producers, we require a variety of tools to efficiently and reliably work with our data. Below are the recommended tools that give us the most power to do what we need. These have large user communities in DfE, and are already working in our current IT setup.

For best practice when using software and coding in our process, see our [guidance on RAP expectations](../RAP/rap-expectations.html){target="_blank" rel="noopener noreferrer"} the [DfE Good Code Practice guide](https://dfe-analytical-services.github.io/good-code-practice/index.html){target="_blank" rel="noopener noreferrer"}.
For best practice when using software and coding in our process, see our [guidance on RAP expectations](../RAP/rap-expectations.html) and the [DfE Good Code Practice guide](https://dfe-analytical-services.github.io/good-code-practice/index.html).

## Email support

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8 changes: 6 additions & 2 deletions learning-development/python.qmd
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## How to install Python

You can download Python (language) and PyCharm (IDE) from the DfE software center.

![](../images/install_python.png)

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## Best places to start

For getting set up, and help through any initial issues we recommend making use of the [DfE Python community on Teams](https://teams.microsoft.com/l/team/19%3a74b8d5bbf49644f2882fcc4274c03a70%40thread.tacv2/conversations?groupId=1238e58a-44e4-4d0d-bb1f-dcefa3d2e64f&tenantId=fad277c9-c60a-4da1-b5f3-b3b8b34a82f9).

There is guidance on the Python Wiki for [programmers](https://wiki.python.org/moin/BeginnersGuide/Programmers) and [non-programmers](https://wiki.python.org/moin/BeginnersGuide/NonProgrammers). Each of the guides includes a list of interactive courses that you can work through to improve your skills.

[The ONS Data Science Campus](https://datasciencecampus.ons.gov.uk/capability/data-science-campus-faculty/reproducible-analytical-pipeline-journey/) offers training courses on Reproducible Analytical Pipelines (RAP) in Python, but be aware that there is less Python expertise in the Department which might make QA of code more difficult.

We recommend making use of the following communities: - Python DfE community on Teams

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## Best practice
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2 changes: 0 additions & 2 deletions learning-development/r.qmd
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Download R (language) and RStudio (IDE) from the DfE software center. We also recommend that you download RTools (a helpful R extension) at the same time.

There are usually a couple of different versions available for software on the software center, we'd recommend you always go for the latest (newest) version possible.

<!-- gif getting this from the software center -->

---
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