Read RBQL documentation on github
+RBQL is an eval-based SQL-like query engine for (not only) CSV file processing. It provides SQL-like language that supports SELECT queries with Python or JavaScript expressions.
+ RBQL is best suited for data transformation, data cleaning, and analytical queries.
+ RBQL is distributed with CLI apps, text editor plugins, Python and JS libraries.
All keywords have the same meaning as in SQL queries. You can check them online
+RBQL for CSV files provides the following variables which you can use in your queries:
+UPDATE query produces a new table where original values are replaced according to the UPDATE expression, so it can also be considered a special type of SELECT query.
+RBQL supports the following aggregate functions, which can also be used with GROUP BY keyword:
+ COUNT, ARRAY_AGG, MIN, MAX, ANY_VALUE, SUM, AVG, VARIANCE, MEDIAN
Limitation: aggregate functions inside Python (or JS) expressions are not supported. Although you can use expressions inside aggregate functions.
+ E.g. MAX(float(a1) / 1000) - valid; MAX(a1) / 1000 - invalid.
+ There is a workaround for the limitation above for ARRAY_AGG function which supports an optional parameter - a callback function that can do something with the aggregated array. Example:
+ SELECT a2, ARRAY_AGG(a1, lambda v: sorted(v)[:5]) GROUP BY a2 - Python; SELECT a2, ARRAY_AGG(a1, v => v.sort().slice(0, 5)) GROUP BY a2 - JS
Join table B can be referenced either by its file path or by its name - an arbitrary string which the user should provide before executing the JOIN query.
+ RBQL supports STRICT LEFT JOIN which is like LEFT JOIN, but generates an error if any key in the left table "A" doesn't have exactly one matching key in the right table "B".
+ Table B path can be either relative to the working dir, relative to the main table or absolute.
+ Limitation: JOIN statements can't contain Python/JS expressions and must have the following form:
SELECT EXCEPT can be used to select everything except specific columns. E.g. to select everything but columns 2 and 4, run: SELECT * EXCEPT a2, a4
+ Traditional SQL engines do not support this query mode.
UNNEST(list) takes a list/array as an argument and repeats the output record multiple times - one time for each value from the list argument.
+ Example: SELECT a1, UNNEST(a2.split(';'))
RBQL does not support LIKE operator, instead it provides "like()" function which can be used like this:
+ SELECT * where like(a1, 'foo%bar')
You can set whether the input (and join) CSV file has a header or not using the environment configuration parameters which could be --with_headers CLI flag or GUI checkbox or something else.
+ But it is also possible to override this selection directly in the query by adding either WITH (header) or WITH (noheader) statement at the end of the query.
+ Example: select top 5 NR, * with (header)
RBQL supports User Defined Functions
+ You can define custom functions and/or import libraries in two special files:
~/.rbql_init_source.py - for Python~/.rbql_init_source.js - for JavaScriptSELECT TOP 100 a1, int(a2) * 10, len(a4) WHERE a1 == "Buy" ORDER BY int(a2) DESCSELECT a.id, a.weight / 1000 AS weight_kgSELECT * ORDER BY random.random() - random sortSELECT len(a.vehicle_price) / 10, a2 WHERE int(a.vehicle_price) < 500 and a['Vehicle type'] in ["car", "plane", "boat"] limit 20 - referencing columns by names from header and using Python's "in" to emulate SQL's "in"UPDATE SET a3 = 'NPC' WHERE a3.find('Non-playable character') != -1SELECT NR, * - enumerate records, NR is 1-basedSELECT * WHERE re.match(".*ab.*", a1) is not None - select entries where first column has "ab" patternSELECT a1, b1, b2 INNER JOIN ./countries.txt ON a2 == b1 ORDER BY a1, a3 - example of join querySELECT MAX(a1), MIN(a1) WHERE a.Name != 'John' GROUP BY a2, a3 - example of aggregate querySELECT *a1.split(':') - Using Python3 unpack operator to split one column into many. Do not try this with other SQL engines!SELECT TOP 100 a1, a2 * 10, a4.length WHERE a1 == "Buy" ORDER BY parseInt(a2) DESCSELECT a.id, a.weight / 1000 AS weight_kgSELECT * ORDER BY Math.random() - random sortSELECT TOP 20 a.vehicle_price.length / 10, a2 WHERE parseInt(a.vehicle_price) < 500 && ["car", "plane", "boat"].indexOf(a['Vehicle type']) > -1 limit 20 - referencing columns by names from headerUPDATE SET a3 = 'NPC' WHERE a3.indexOf('Non-playable character') != -1SELECT NR, * - enumerate records, NR is 1-basedSELECT a1, b1, b2 INNER JOIN ./countries.txt ON a2 == b1 ORDER BY a1, a3 - example of join querySELECT MAX(a1), MIN(a1) WHERE a.Name != 'John' GROUP BY a2, a3 - example of aggregate querySELECT ...a1.split(':') - Using JS "destructuring assignment" syntax to split one column into many. Do not try this with other SQL engines!
+
+- Configure the debugger through the Debug Activity Bar
+
+
+
+- Configure tests by running the `Configure Tests` command
+
+
+
+## Jupyter Notebook quick start
+
+The Python extension offers support for Jupyter notebooks via the [Jupyter extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) to provide you a great Python notebook experience in VS Code.
+
+- Install the [Jupyter extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter).
+
+- Open or create a Jupyter Notebook file (.ipynb) and start coding in our Notebook Editor!
+
+
+
+For more information you can:
+
+- [Follow our Python tutorial](https://code.visualstudio.com/docs/python/python-tutorial#_prerequisites) with step-by-step instructions for building a simple app.
+- Check out the [Python documentation on the VS Code site](https://code.visualstudio.com/docs/languages/python) for general information about using the extension.
+- Check out the [Jupyter Notebook documentation on the VS Code site](https://code.visualstudio.com/docs/python/jupyter-support) for information about using Jupyter Notebooks in VS Code.
+
+## Useful commands
+
+Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:
+
+| Command | Description |
+| ------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `Python: Select Interpreter` | Switch between Python interpreters, versions, and environments. |
+| `Python: Start Terminal REPL` | Start an interactive Python REPL using the selected interpreter in the VS Code terminal. |
+| `Python: Run Python File in Terminal` | Runs the active Python file in the VS Code terminal. You can also run a Python file by right-clicking on the file and selecting `Run Python File in Terminal`. |
+| `Python: Configure Tests` | Select a test framework and configure it to display the Test Explorer. |
+
+To see all available Python commands, open the Command Palette and type `Python`. For Jupyter extension commands, just type `Jupyter`.
+
+## Feature details
+
+Learn more about the rich features of the Python extension:
+
+- [IntelliSense](https://code.visualstudio.com/docs/python/editing#_autocomplete-and-intellisense): Edit your code with auto-completion, code navigation, syntax checking and more.
+- [Linting](https://code.visualstudio.com/docs/python/linting): Get additional code analysis with Pylint, Flake8 and more.
+- [Code formatting](https://code.visualstudio.com/docs/python/formatting): Format your code with black, autopep or yapf.
+- [Debugging](https://code.visualstudio.com/docs/python/debugging): Debug your Python scripts, web apps, remote or multi-threaded processes.
+- [Testing](https://code.visualstudio.com/docs/python/unit-testing): Run and debug tests through the Test Explorer with unittest or pytest.
+- [Jupyter Notebooks](https://code.visualstudio.com/docs/python/jupyter-support): Create and edit Jupyter Notebooks, add and run code cells, render plots, visualize variables through the variable explorer, visualize dataframes with the data viewer, and more.
+- [Environments](https://code.visualstudio.com/docs/python/environments): Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments.
+- [Refactoring](https://code.visualstudio.com/docs/python/editing#_refactoring): Restructure your Python code with variable extraction and method extraction. Additionally, there is componentized support to enable additional refactoring, such as import sorting, through extensions including [isort](https://marketplace.visualstudio.com/items?itemName=ms-python.isort) and [Ruff](https://marketplace.visualstudio.com/items?itemName=charliermarsh.ruff).
+
+
+
+## Supported locales
+
+The extension is available in multiple languages: `de`, `en`, `es`, `fa`, `fr`, `it`, `ja`, `ko-kr`, `nl`, `pl`, `pt-br`, `ru`, `tr`, `zh-cn`, `zh-tw`
+
+## Questions, issues, feature requests, and contributions
+
+- If you have a question about how to accomplish something with the extension, please [ask on our Discussions page](https://github.com/microsoft/vscode-python/discussions/categories/q-a).
+- If you come across a problem with the extension, please [file an issue](https://github.com/microsoft/vscode-python).
+- Contributions are always welcome! Please see our [contributing guide](https://github.com/Microsoft/vscode-python/blob/main/CONTRIBUTING.md) for more details.
+- Any and all feedback is appreciated and welcome!
+ - If someone has already [filed an issue](https://github.com/Microsoft/vscode-python) that encompasses your feedback, please leave a 👍/👎 reaction on the issue.
+ - Otherwise please start a [new discussion](https://github.com/microsoft/vscode-python/discussions/categories/ideas).
+- If you're interested in the development of the extension, you can read about our [development process](https://github.com/Microsoft/vscode-python/blob/main/CONTRIBUTING.md#development-process).
+
+## Data and telemetry
+
+The Microsoft Python Extension for Visual Studio Code collects usage
+data and sends it to Microsoft to help improve our products and
+services. Read our
+[privacy statement](https://privacy.microsoft.com/privacystatement) to
+learn more. This extension respects the `telemetry.telemetryLevel`
+setting which you can learn more about at
+https://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.
diff --git a/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/requirements.txt b/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..68850210d58cdfdbee9f5b1374facbfe86a4c97f
--- /dev/null
+++ b/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/requirements.txt
@@ -0,0 +1,71 @@
+# This file was autogenerated by uv via the following command:
+# uv pip compile --generate-hashes requirements.in -o requirements.txt
+importlib-metadata==8.7.1 \
+ --hash=sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb \
+ --hash=sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151
+ # via -r requirements.in
+microvenv==2025.0 \
+ --hash=sha256:568155ec18af01c89f270d35d123ab803b09672b480c3702d15fd69e9cc5bd1e \
+ --hash=sha256:8a2568a8390a4ffb5af2f05e7642454e03b887e582d192b6316326974eab5d0f
+ # via -r requirements.in
+packaging==26.0 \
+ --hash=sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4 \
+ --hash=sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529
+ # via -r requirements.in
+tomli==2.4.0 \
+ --hash=sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729 \
+ --hash=sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b \
+ --hash=sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d \
+ --hash=sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df \
+ --hash=sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576 \
+ --hash=sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d \
+ --hash=sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1 \
+ --hash=sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a \
+ --hash=sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e \
+ --hash=sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc \
+ --hash=sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702 \
+ --hash=sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6 \
+ --hash=sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd \
+ --hash=sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4 \
+ --hash=sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776 \
+ --hash=sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a \
+ --hash=sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66 \
+ --hash=sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87 \
+ --hash=sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2 \
+ --hash=sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f \
+ --hash=sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475 \
+ --hash=sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f \
+ --hash=sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95 \
+ --hash=sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9 \
+ --hash=sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3 \
+ --hash=sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9 \
+ --hash=sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76 \
+ --hash=sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da \
+ --hash=sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8 \
+ --hash=sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51 \
+ --hash=sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86 \
+ --hash=sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8 \
+ --hash=sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0 \
+ --hash=sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b \
+ --hash=sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1 \
+ --hash=sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e \
+ --hash=sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d \
+ --hash=sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c \
+ --hash=sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867 \
+ --hash=sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a \
+ --hash=sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c \
+ --hash=sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0 \
+ --hash=sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4 \
+ --hash=sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614 \
+ --hash=sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132 \
+ --hash=sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa \
+ --hash=sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087
+ # via -r requirements.in
+typing-extensions==4.15.0 \
+ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \
+ --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548
+ # via -r requirements.in
+zipp==3.21.0 \
+ --hash=sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4 \
+ --hash=sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931
+ # via importlib-metadata
diff --git a/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/telemetry.json b/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/telemetry.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc191064de53393c5742674ef89c52b094c9ec4b
--- /dev/null
+++ b/home/.vscode-server/extensions/ms-python.python-2026.4.0-linux-x64/telemetry.json
@@ -0,0 +1 @@
+{"commonProperties":{},"events":{"ms-python.pythonactivate_env_in_current_terminal":{"isterminalvisible":{"classification":"SystemMetaData","owner":"karthiknadig","purpose":"FeatureInsight"}},"ms-python.pythonactivate_env_to_get_env_vars_failed":{"ispossiblycondaenv":{"classification":"SystemMetaData","owner":"karthiknadig","purpose":"PerformanceAndHealth"},"terminal":{"classification":"SystemMetaData","owner":"karthiknadig","purpose":"PerformanceAndHealth"}},"ms-python.pythonactivated_conda_env_launch":{"selection":{"classification":"SystemMetaData","owner":"karthiknadig","purpose":"FeatureInsight"}},"ms-python.pythoncall-tas-error":{"comment":"Logs when calls to the experiment service fails","errortype":{"classification":"SystemMetaData","comment":"Type of error when calling TAS (ServerError, NoResponse, 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