Get started with Python for streaming analytics
Set yourself up for productivity and collaboration. We assume no prior programming experience and that you want to get productive as quickly as possible.
- Python 3.10 or higher
- VS Code
- VS Code Extension: Python
- Git (configured)
Remember:
- Spacing, Spelling, Capitalization: With computers, these are critical. Always double-check!
In VS Code, open a terminal window (View / Terminal).
If macOS/Linux, change python to python3 in the commands below.
git --version
python --version
python -m pip install --upgrade pip wheelWith your repo folder open in VS Code:
- Click util_about.py.
- If VS Code prompts, install the recommended Python extension.
- Check the Python Interpreter: On the bottom-left status bar, you might see a version of Python indicated (e.g., Python 3.10.x).
- If not, click on the bottom status bar where it should show the Python version or might say "Select Python Interpreter".
- From the dropdown, choose your default Python version.
- In VS Code, open a terminal window (View / Terminal).
- If macOS/Linux, change
pythontopython3below.
python util_about.pyWith your repo folder open in VS Code, start exploring. Open, read, and run each project script (each file will have a .py extension) in order. You don't need to fully understand the code yet. Instead, try to figure out what each file is doing.
When you finish, you'll have an idea of some things possible using just the Python standard library. You'll have generated several new data files. The streaming process will run continuously for quite a while. Read the comments in the file to learn how to stop the process.
Edit this README.md file. It uses Markdown, a simple and easy markup language.
- Keep the prerequisites and task headings.
- Within the task headings, keep only the commands that worked on YOUR machine.
- Remove unnecessary instructions once you've mastered them.
- Add any additional notes that will help you in the future.
Now it's time to get the local work you did on your machine, back up to your cloud repo in GitHub.
- On the VS Code side panel, click the source control icon (look for a blue bubble with an number in it).
- Important! Above the Commit button, it will say "Message".
- You MUST include a commit message.
- In the commit message input box, type "initial results".
- Click the down arrow on the blue "Commit" button to "Commit and Push" to your GitHub repo.
Verify: Open a browser to your GitHub repo and verify the files have appeared. In addition to the original files, you should have one or more new files and an edited Markdown file. If not, return to VS Code and edit/execute files as needed. Then commit and push again.
Common Issue: If your computer hangs because you forgot the commit message, just enter your message in the top line of the file it shows in the editor. Then click the checkmark in the upper right to close that file and save your commit message. "Sync your changes" to push to GitHub.
Open a new Git Bash or Terminal window. Run the following commands one at a time.
They will first add all the files (add "dot").
Then they will commit the changes with a message.
Finally, they will push the changes up to GitHub.
git add .
git commit -m "initial results"
git push origin main
The following are general recommendations and troubleshooting tips.
Suggestion: If you're in VS Code, and you don't see the Source Control icon with a blue bubble, right-click on the sidebar icons, and make sure "Source Control" is checked.
If VS Code suggests an extension, it's often good to go ahead and try it. Do a search on the extension to learn more. VS Code suggestions are usually helpful.
- For more information about Git in VS Code, see Using Git source control in VS Code.
- For more information about editing Markdown in VS Code, see Markdown and Visual Studio Code.
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