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Posted to commits@streampipes.apache.org by bo...@apache.org on 2022/11/12 15:01:26 UTC
[incubator-streampipes] 11/18: test
This is an automated email from the ASF dual-hosted git repository.
bossenti pushed a commit to branch feature/STREAMPIPES-607
in repository https://gitbox.apache.org/repos/asf/incubator-streampipes.git
commit fb705eb4afb148d81e3010fd84b0f90530e5367b
Author: bossenti <bo...@posteo.de>
AuthorDate: Thu Nov 10 21:29:35 2022 +0100
test
---
README.md | 2 +-
streampipes-client-python/README.md | 14 +++++++++-----
2 files changed, 10 insertions(+), 6 deletions(-)
diff --git a/README.md b/README.md
index 90cacb1ed..1805e5f55 100644
--- a/README.md
+++ b/README.md
@@ -70,7 +70,7 @@ It comes with a rich graphical user interface targeted at non-technical users an
StreamPipes is highly extensible and includes a Java SDK to create new
-pipeline elements and adapters. Python support is available in an early development stage - stay tuned!
+pipeline elements and adapters. [Python support](./streampipes-client-python/README.md) is available in an early development stage - stay tuned!
Pipeline elements are standalone microservices that can run anywhere -
centrally on your server or close at the edge.
You want to employ your own machine learning model on live data?
diff --git a/streampipes-client-python/README.md b/streampipes-client-python/README.md
index 6cf8a67be..4fbb650c5 100644
--- a/streampipes-client-python/README.md
+++ b/streampipes-client-python/README.md
@@ -19,12 +19,15 @@
# StreamPipes client for Python
Apache StreamPipes meets Python! We are working highly motivated on a Python-based client to interact with StreamPipes.
-Thus, we would like to unite the power of StreamPipes to easily connect to and read from several data sources, especially in the IoT domain,
-and the amazing university of data analytics libraries in Python.
+In this way, we would like to unite the power of StreamPipes to easily connect to and read different data sources, especially in the IoT domain,
+and the amazing universe of data analytics libraries in Python.
-<br>
-
-
+<h1 align="center">
+ <br>
+ <img src="./docs/img/streampipes-python.png"
+ alt="StreamPipes Logo with Python" title="Apache StreamPipes Logo with Python" width="75%"/>
+ <br>
+</h1>
<br>
@@ -46,6 +49,7 @@ and the amazing university of data analytics libraries in Python.
<br>
Create a virtual Python environment with a tool of your choice, here are some examples.
As a next step, install all required dependencies for the development, e.g. with pip:
+
```
pip install .[dev] # or alternatively: pip install .[docs]
```