Merge branch 'main' into ben/no-pushodwn

python/docs/source/guide/index.md

@@ -22,13 +22,13 @@ In comparison to a timeseries which often contains simple values (e.g., numeric
 Getting started with Timestreams is as simple as `pip` installing the Python library, loading some data and running a query.
 
 ```python
-import timestreams as t
+import kaskada as kd
 
 # Read data from a Parquet file.
-data = t.sources.Parquet.from_file(
-    "path_to_file.parquet",
-    time = "time",
-    key = "user")
+data = kd.sources.Parquet(
+    path = "path_to_file.parquet",
+    time_column = "time",
+    key_column = "user")
 # Get the count of events associated with each user over time, as a dataframe.
 data.count().to_pandas()
 ```

python/docs/source/guide/installation.md

@@ -5,7 +5,7 @@ We suggest using 3.11 or newer, since that provides more precise error locations
 
 ```{code-block} bash
 :caption: Installing Kaskada
-pip install kaskada>=0.6.0-a.0
+pip install kaskada>=0.6.0-a.3
 ```
 
 ```{warning}

python/docs/source/guide/quickstart.md

@@ -14,10 +14,10 @@ This shows the bare minimum needed to get started with Kaskada.
 ## Install
 
 Install the latest version.
-This uses `kaskdaa>=0.6.0-a.0` to ensure the pre-release version is installed.
+This uses `kaskada>=0.6.0-a.3` to ensure the pre-release version is installed.
 
 ```
-pip install kaskada>=0.6.0-a.0
+pip install kaskada>=0.6.0-a.3
 ```
 
 See the section on [installation](./installation.md) to learn more about installing Kaskada.
@@ -44,4 +44,4 @@ content = "\n".join(
 )
 source = await kd.sources.CsvString.create(content, time_column="time", key_column="key")
 source.select("m", "n").extend({"sum_m": source.col("m").sum() }).to_pandas()
-```
+```

python/noxfile.py

@@ -215,4 +215,4 @@ def _stripwarnings(lines: Iterable[str]) -> Iterator[str]:
     path = session.cache_dir / "requirements.txt"
     path.write_text(text)
 
-    return path
+    return path

python/pyproject.toml

@@ -34,7 +34,6 @@ python = ">=3.9,<4.0"
 pyarrow = "^12.0.1"
 typing-extensions = "^4.7.1"
 plotly = {version = "^5.16.1", optional = true}
-flake8 = "^6.1.0"
 
 [tool.poetry.extras]
 plot = ["plotly"]