Polygon:

- Added async methods to polygon.
- The `requests` library is no longer required, with `urllib` being used instead.
- Added the `get_bar_data` function, which returns a dataframe of aggregate data from polygon.
- Opened up the `subscribe` and `unsubscribe` functions

Enhancements:
- Tables will now scroll when the rows exceed table height.

Bugs:
- Fixed a bug preventing async functions being used with horizontal line event.
- Fixed a bug causing the legend to show duplicate lines if the line was created after the legend.
- Fixed a bug causing the line hide icon to persist within the legend after deletion (#75)
- Fixed a bug causing the search box to be unfocused when the chart is loaded.

docs/source/tutorials/getting_started.md

@@ -0,0 +1,85 @@
+# Getting Started
+
+## Installation
+
+To install the library, use pip:
+
+```text
+pip install lightweight-charts
+```
+
+Pywebview's installation can differ depending on OS. Please refer to their [documentation](https://pywebview.flowrl.com/guide/installation.html#installation).
+
+___
+
+## A simple static chart
+
+```python
+import pandas as pd
+from lightweight_charts import Chart
+```
+
+Download this
+[`ohlcv.csv`](../../../examples/1_setting_data/ohlcv.csv)
+file for this tutorial.
+
+In this example, we are reading a csv file using pandas:
+```text
+           date    open    high     low   close       volume
+0    2010-06-29  1.2667  1.6667  1.1693  1.5927  277519500.0
+1    2010-06-30  1.6713  2.0280  1.5533  1.5887  253039500.0
+2    2010-07-01  1.6627  1.7280  1.3513  1.4640  121461000.0
+3    2010-07-02  1.4700  1.5500  1.2473  1.2800   75871500.0
+4..
+```
+..which can be used as data for the `Chart` object:
+
+
+```python
+if __name__ == '__main__':
+    chart = Chart()
+    
+    df = pd.read_csv('ohlcv.csv')
+    chart.set(df)
+    
+    chart.show(block=True)
+```
+
+The `block` parameter is set to `True` in this case, as we do not want the program to exit.
+
+```{warning}
+Due to the library's use of multiprocessing, instantiations of `Chart` should be encapsulated within an   `if __name__ == '__main__'` block.
+```
+
+
+## Adding a line
+
+Now lets add a moving average to the chart using the following function: 
+```python
+def calculate_sma(df, period: int = 50):
+    return pd.DataFrame({
+        'time': df['date'],
+        f'SMA {period}': df['close'].rolling(window=period).mean()
+    }).dropna()
+```
+
+`calculate_sma` derives the data column from `f'SMA {period}'`, which we will use as the name of our line:
+
+```python
+if __name__ == '__main__':
+    chart = Chart()
+    line = chart.create_line(name='SMA 50')
+
+    df = pd.read_csv('ohlcv.csv')
+    sma_df = calculate_sma(df, period=50)
+
+    chart.set(df)
+    line.set(sma_df)
+    
+    chart.show(block=True)
+```
+
+
+
+
+