Add instruction on installing dlt via pixi and conda (#1332)

* Add instruction on installing dlt via pixi and conda

* Update getting-started doc

* Add mention to use relevant package managers to install extra dependencies

* Fix typo

* Fix typo

* Update streamlit app screenshot

* Move installation instructions to installation.md

* Add a separate section for pixi and conda

README.md

@@ -30,10 +30,21 @@ Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local l
 
 dlt supports Python 3.8+.
 
-```bash
+**pip:**
+```sh
 pip install dlt
 ```
 
+**pixi:**
+```sh
+pixi add dlt
+```
+
+**conda:**
+```sh
+conda install -c conda-forge dlt
+```
+
 ## Quick Start
 
 Load chess game data from chess.com API and save it in DuckDB:

docs/website/docs/getting-started.md

@@ -24,7 +24,8 @@ Install dlt using `pip`:
 pip install -U dlt
 ```
 
-The command above installs (or upgrades) the library core, in the example below we use DuckDB as a destination so let's add a `duckdb` dependency:
+The command above installs (or upgrades) the core library, in the example below we
+use DuckDB as a destination so let's add a `duckdb` dependency:
 
 ```sh
 pip install "dlt[duckdb]"
@@ -82,7 +83,7 @@ pip install streamlit
 
 Now you should see the **users** table:
 
-![Streamlit Explore data](/img/streamlit1.png)
+![Streamlit Explore data](/img/streamlit-new.png)
 Streamlit Explore data. Schema and data for a test pipeline “quick_start”.
 
 :::tip

docs/website/docs/reference/installation.md

@@ -109,3 +109,17 @@ You can install `dlt` in your virtual environment by running:
 ```sh
 pip install -U dlt
 ```
+
+## Install dlt via pixi and conda
+
+Install dlt using `pixi`:
+
+```sh
+pixi add dlt
+```
+
+Install dlt using `conda`:
+
+```sh
+conda install -c conda-forge dlt
+```