Merge branch 'devel' of github.com:dlt-hub/dlt into devel

docs/website/docs/getting-started.md

@@ -21,13 +21,13 @@ Let's get started!
 Install dlt using `pip`:
 
 ```bash
-pip3 install -U dlt
+pip install -U dlt
 ```
 
 Command above installs (or upgrades) library core, in example below we use `duckdb` as a destination so let's add it:
 
 ```bash
-pip3 install "dlt[duckdb]"
+pip install "dlt[duckdb]"
 ```
 
 :::tip
@@ -63,7 +63,7 @@ print(load_info)
 Save this python script with the name `quick_start_pipeline.py` and run the following command:
 
 ```bash
-python3 quick_start_pipeline.py
+python quick_start_pipeline.py
 ```
 
 The output should look like:
@@ -83,7 +83,7 @@ dlt pipeline quick_start show
 ```
 **quick_start** is the name of the pipeline from the script above. If you do not have Streamlit installed yet do:
 ```bash
-pip3 install streamlit
+pip install streamlit
 ```
 
 Now you should see the **users** table:
@@ -240,7 +240,7 @@ print(load_info)
 
 Have some fun and run this snippet [with progress bar enabled](walkthroughs/run-a-pipeline.md#2-see-the-progress-during-loading) (we like **enlighten** the best, **tqdm** works as well):
 ```bash
-pip3 install enlighten
+pip install enlighten
 PROGRESS=enlighten python load_from_db.py
 ```
 
@@ -585,7 +585,7 @@ Just before load, the `weaviate_adapter` is used to tell `weaviate` destination
 To run this example you need additional dependencies:
 
 ```shell
-pip3 install PyPDF2 "dlt[weaviate]"
+pip install PyPDF2 "dlt[weaviate]"
 python pdf_to_weaviate.py
 ```
 

docs/website/docs/intro.md

@@ -15,7 +15,7 @@ import snippets from '!!raw-loader!./intro-snippets.py';
 `dlt` is an open-source library that you can add to your Python scripts to load data
 from various and often messy data sources into well-structured, live datasets. Install it with:
 ```sh
-pip3 install dlt
+pip install dlt
 ```
 There's no need to start any backends or containers. Import `dlt` in your Python script and write a simple pipeline like the one below:
 
@@ -45,7 +45,7 @@ load_info = pipeline.run(data, table_name='player')
 
 Now copy this snippet to a file or a Notebook cell and run it. If you do not have it yet, install **duckdb** dependency (default `dlt` installation is really minimal):
 ```sh
-pip3 install "dlt[duckdb]"
+pip install "dlt[duckdb]"
 ```
 
 How the script works?: It extracts data from a

docs/website/docs/reference/installation.md

@@ -11,8 +11,8 @@ keywords: [installation, environment, pip install]
 ### Make sure you are using **Python 3.8-3.11** and have `pip` installed
 
 ```bash
-python3 --version
-pip3 --version
+python --version
+pip --version
 ```
 
 ### If not, then please follow the instructions below to install it
@@ -60,7 +60,7 @@ C:\> pip3 install -U pip
 Create a new virtual environment by making a `./env` directory to hold it.
 
 ```bash
-python3 -m venv ./env
+python -m venv ./env
 ```
 
 Activate the virtual environment:
@@ -75,7 +75,7 @@ source ./env/bin/activate
 Create a new virtual environment by making a `./env` directory to hold it.
 
 ```bash
-python3 -m venv ./env
+python -m venv ./env
 ```
 
 Activate the virtual environment:
@@ -90,7 +90,7 @@ source ./env/bin/activate
 Create a new virtual environment by making a `./env` directory to hold it.
 
 ```bat
-C:\> python3 -m venv ./env
+C:\> python -m venv ./env
 ```
 
 Activate the virtual environment:
@@ -107,5 +107,5 @@ C:\> .\env\Scripts\activate
 You can install `dlt` in your virtual environment by running:
 
 ```bash
-pip3 install -U dlt
+pip install -U dlt
 ```

docs/website/docs/walkthroughs/add-a-verified-source.md

@@ -66,7 +66,7 @@ Verified source pipedrive was added to your project!
 * Read https://dlthub.com/docs/walkthroughs/create-a-pipeline for more information
 ```
 
-So make sure you install the requirements with `pip3 install -r requirements.txt`. When deploying to
+So make sure you install the requirements with `pip install -r requirements.txt`. When deploying to
 an online orchestrator, you can install the requirements to it from requirements.txt in the ways
 supported by the orchestrator.