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Copy file name to clipboardExpand all lines: docs/custom-rules/space-after-punctuation-in-emphasis.js
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description: "Ensure there is a space after emphasis markers (**bold:** text) if the emphasized text ends with punctuation (e.g., :, :, ;, ;, etc.) and is immediately followed by non-whitespace content.",
You can install TDengine TSDB Enterprise on Linux and Windows. To install TDengine TSDB in a Docker container instead of on your machine, see [Get Started with TDengine in Docker](../deploy-in-docker/).
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<TabItemlabel="Linux"value="linux">
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1. Download the tar.gz installation package from the list below:
This package contains the TDtsfm and Time-MoE foundation models for time series. Ensure that you have 16 GB of disk space available to store the models.
Copy file name to clipboardExpand all lines: docs/en/07-develop/09-udf.md
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### C UDF Example Code
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#### Scalar Function Example[bit_and](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/bit_and.c)
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#### Scalar Function Example
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`bit_and` implements the bitwise AND function for multiple columns. If there is only one column, it returns that column. `bit_and` ignores null values.
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</details>
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#### Aggregate Function Example 1 Returning Numeric Type [l2norm](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/l2norm.c)
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#### Aggregate Function Example 1: Returning Numeric Type
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`l2norm` implements the second-order norm of all data in the input columns, i.e., squaring each data point, then summing them up, and finally taking the square root.
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</details>
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#### Aggregate Function Example 2 Returning String Type[max_vol](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/max_vol.c)
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#### Aggregate Function Example 2: Returning String Type
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`max_vol` implements finding the maximum voltage from multiple input voltage columns, returning a composite string value consisting of the device ID + the position (row, column) of the maximum voltage + the maximum voltage value.
#### Aggregate Function Example 3 Split string and calculate average value [extract_avg](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/extract_avg.c)
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#### Aggregate Function Example 3: Split String and Calculate Average Value
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The `extract_avg` function converts a comma-separated string sequence into a set of numerical values, counts the results of all rows, and calculates the final average. Note when implementing:
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### More Python UDF Example Code
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#### Scalar Function Example[pybitand](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/pybitand.py)
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#### Scalar Function Example
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`pybitand` implements the bitwise AND function for multiple columns. If there is only one column, it returns that column. `pybitand` ignores null values.
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</details>
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#### Aggregate Function Example [pyl2norm](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/pyl2norm.py)
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#### Aggregate Function Example 1
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`pyl2norm` calculates the second-order norm of all data in the input column, i.e., squares each data point, then sums them up, andfinally takes the square root.
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</details>
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#### Aggregate Function Example [pycumsum](https://github.com/taosdata/TDengine/blob/3.0/test/cases/12-UDFs/sh/pycumsum.py)
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#### Aggregate Function Example 2
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`pycumsum` uses numpy to calculate the cumulative sum of all data in the input column.
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