# LightningChart Python developer documentation > The 1 stop developer guide for all things LightningChart Python This file contains links to documentation sections following the llmstxt.org standard. ## Table of Contents - [API](https://lightningchart.com/python-charts/api-documentation/): A full LightningChart Python API reference is available under a separate resource. - [Contact](https://lightningchart.com/contact/): Take advantage of your special commercial trial privileges for both technical and commercial queries - [Online examples](https://lightningchart.com/python-charts/docs/): Interactive Examples shows more realistic use cases. You can also see and experiment with the application code in there. - [Axis](https://lightningchart.com/python-charts/docs/features/chart-xy/axes/): Here you can find guides for most often required configurations of Axis, a critical part of almost all chart types. - [Bar Chart](https://lightningchart.com/python-charts/docs/features/bar-chart/): `BarChart` feature can be used for a number of different "bar" type visualizations. - [Cursor](https://lightningchart.com/python-charts/docs/guides/cursors/): LightningChart Python has a built in Cursor functionality. - [Box](https://lightningchart.com/python-charts/docs/features/chart-3d/box/): 3D feature for rendering a collection of 3D boxes with individual locations and sizes. - [3D Chart](https://lightningchart.com/python-charts/docs/features/chart-3d/): `Chart3D` is a collection of series, axes and other chart components. - [Line 3D](https://lightningchart.com/python-charts/docs/features/chart-3d/line/): 3D line series for visualizing data in three-dimensional space. - [Mesh model](https://lightningchart.com/python-charts/docs/features/chart-3d/mesh-model/): `Chart3D` includes a feature for rendering 3D models and objects. - [Scatter 3D](https://lightningchart.com/python-charts/docs/features/chart-3d/point/): A commonly needed visualization feature is to display a set of X+Y+Z points scattered around. - [Scrolling surface](https://lightningchart.com/python-charts/docs/features/chart-3d/scrolling-surface/): A variant of Surface, this feature is suitable for streaming applications where data is measured and visualized in real-time. - [Surface](https://lightningchart.com/python-charts/docs/features/chart-3d/surface/): `Chart3D` includes a feature for rendering high resolution 3D surfaces. - [3D Axis](https://lightningchart.com/python-charts/docs/features/chart-3d/axes3d/): Configuration options for 3D chart axes. - [Data Grid](https://lightningchart.com/python-charts/docs/features/data-grid/): Data grid component for displaying tabular data alongside charts. - [Pie Chart](https://lightningchart.com/python-charts/docs/features/pie-chart/): Apart from high performance data visualization features, LightningChart Python also includes commonly needed standard features, such as Pie charts. - [Funnel Chart](https://lightningchart.com/python-charts/docs/features/funnel-chart/): Apart from high performance data visualization features, LightningChart Python also includes commonly needed standard features, such as Funnel charts. - [Gauge Chart](https://lightningchart.com/python-charts/docs/features/gauge-chart/): `Gauge` is used to display a single data value (number) in the form of a dial. - [Features](https://lightningchart.com/python-charts/docs/features/): LightningChart Python has a lot of features, and there are continuously more added in. - [Legend](https://lightningchart.com/python-charts/docs/features/legend/): Charts can display legends to identify series and data. - [Map Chart](https://lightningchart.com/python-charts/docs/features/map-chart/): The `MapChart` can be used to display regions of the world in an interactive chart. - [Parallel Coordinate Chart](https://lightningchart.com/python-charts/docs/features/parallel-coordinate/): The Parallel Coordinate Chart can be used to display a list of data points across an arbitrary number of measurement Axes. - [Parallel Coordinate Series](https://lightningchart.com/python-charts/docs/features/parallel-coordinate/parallel-coordinate-series/): Manage data, highlight logic, and spline settings for individual series in a Parallel Coordinate chart. - [Polar Chart](https://lightningchart.com/python-charts/docs/features/polar-chart/): `PolarChart` is a collection of polar series, axes and other chart components. - [Polar Area](https://lightningchart.com/python-charts/docs/features/polar-chart/area/): Polar area chart for displaying data in polar coordinates. - [Polar Heatmap](https://lightningchart.com/python-charts/docs/features/polar-chart/heatmap/): `PolarChart` includes a feature for rendering high resolution Polar heat-maps. - [Polar Line](https://lightningchart.com/python-charts/docs/features/polar-chart/line/): Polar line chart for displaying connected data points in polar coordinates. - [Polar Polygon](https://lightningchart.com/python-charts/docs/features/polar-chart/polygon/): Polar polygon series for displaying filled shapes in polar coordinates. - [Polar Scatter](https://lightningchart.com/python-charts/docs/features/polar-chart/point/): Polar scatter chart for displaying individual data points in polar coordinates. - [Polar Sector](https://lightningchart.com/python-charts/docs/features/polar-chart/sector/): Polar sectors are complementary components within `PolarChart` which highlight a range along both Amplitude axis and Radial axis. - [Pyramid Chart](https://lightningchart.com/python-charts/docs/features/pyramid-chart/): Apart from high performance data visualization features, LightningChart Python also includes commonly needed standard features, such as Pyramid charts. - [Spider Chart](https://lightningchart.com/python-charts/docs/features/spider-chart/): Spider Chart is generally used to compare multivariate quantitative data set. - [TreeMap Chart](https://lightningchart.com/python-charts/docs/features/treemap-chart/): Apart from high performance data visualization features, LightningChart Python also includes commonly needed standard features, such as TreeMap charts. - [UI elements](https://lightningchart.com/python-charts/docs/features/chart-xy/ui/): LightningChart Python includes built-in features for UI components like Text Boxes. - [TextBox](https://lightningchart.com/python-charts/docs/features/text-box/): Text box component for adding text annotations to charts. - [User interactions](https://lightningchart.com/python-charts/docs/guides/user-interactions/): LightningChart Python components come with a set of built-in user interactions. - [Area Range](https://lightningchart.com/python-charts/docs/features/chart-xy/area-range/): Area range series can fill sections between ranges of Y values. - [Area](https://lightningchart.com/python-charts/docs/features/chart-xy/area/): Area series for displaying filled areas under data lines. - [Box Plot](https://lightningchart.com/python-charts/docs/features/chart-xy/box/): Box plot series for statistical data visualization. - [Figures and text](https://lightningchart.com/python-charts/docs/features/chart-xy/figure-and-text/): This section covers Figure Series for adding custom shapes and text to charts. - [Heatmap](https://lightningchart.com/python-charts/docs/features/chart-xy/heatmap/): LightningChart Python has a powerful feature for displaying high resolution heatmaps. - [XY Chart](https://lightningchart.com/python-charts/docs/features/chart-xy/): `ChartXY` is a collection of series, axes and other chart components. - [Line](https://lightningchart.com/python-charts/docs/features/chart-xy/line/): The best and most appreciated feature of LightningChart Python is the simple `LineSeries`. - [Point-Line](https://lightningchart.com/python-charts/docs/features/chart-xy/point-line/): Combination of displaying points and connected line strokes. - [Scatter](https://lightningchart.com/python-charts/docs/features/chart-xy/point/): A commonly needed visualization feature is to display a set of X+Y points scattered around. - [Scrolling heatmap](https://lightningchart.com/python-charts/docs/features/chart-xy/scrolling-heatmap/): A variant of Heatmap, this feature is suitable for streaming applications where data is measured and visualized in real-time. - [Spline](https://lightningchart.com/python-charts/docs/features/chart-xy/spline/): The Spline series is a point-line series with an automatic polynomial interpolation that produces smooth curves. - [Step](https://lightningchart.com/python-charts/docs/features/chart-xy/step/): The Step series is a point-line series with an automatic stepping interpolation resulting in only sharp turns of curve. - [Dashboard](https://lightningchart.com/python-charts/docs/features/dashboard/): Dashboard for organizing multiple charts in a grid layout. - [Container](https://lightningchart.com/python-charts/docs/features/container/): Container for organizing charts with more flexible positioning than Dashboard. - [Getting started](https://lightningchart.com/python-charts/docs/): Getting started with LightningChart Python - installation and basic usage. - [LightningChart and AI](https://lightningchart.com/python-charts/docs/guides/lightningchart-and-ai/): Resources to help developers use AI tools with LightningChart Python better. - [Destroying components](https://lightningchart.com/python-charts/docs/guides/destroying-components/): All LightningChart Python components can be permanently destroyed or cleaned with `dispose` method. - [Real-time data](https://lightningchart.com/python-charts/docs/guides/real-time-data/): LightningChart Python is a real-time oriented data visualization library. - [Themes](https://lightningchart.com/python-charts/docs/guides/themes/): This section explores a complete way to configure the visual look of LightningChart Python - Themes. - [Basic principles](https://lightningchart.com/python-charts/docs/guides/basic-principles/): Core concepts and basic usage patterns for LightningChart Python. - [Displaying charts](https://lightningchart.com/python-charts/docs/guides/displaying-charts/): Different methods for displaying charts - browser, notebook, and live mode. - [Time series data](https://lightningchart.com/python-charts/docs/guides/time-series-data/): Working with time-based data and DateTime axes. - [Notebook usage](https://lightningchart.com/python-charts/docs/guides/notebook-usage/): Using LightningChart Python in Jupyter notebooks. - [PyQt usage](https://lightningchart.com/python-charts/docs/guides/pyqt-usage/): Integrating LightningChart Python with PyQt applications. - [Custom Ticks](https://lightningchart.com/python-charts/docs/guides/custom-tick/): Customizing axis tick marks and labels. - [Correlation Matrix](https://lightningchart.com/python-charts/docs/guides/correlation-matrix/): Creating correlation matrix visualizations. - [Adding Data to Charts](https://lightningchart.com/python-charts/docs/guides/add-data/): Different methods for adding and streaming data to chart series. - [Event Listeners](https://lightningchart.com/python-charts/docs/guides/event-listeners/): Handling user events and interactions with charts. - [Data Scientist License](https://lightningchart.com/python-charts/docs/licensing/data-scientist/): License information for data scientists. - [Software Developer License](https://lightningchart.com/python-charts/docs/licensing/software-developer/): License information for software developers. - [Student License](https://lightningchart.com/python-charts/docs/licensing/student-license/): License information for students. - [Licensing](https://lightningchart.com/python-charts/docs/licensing/): LightningChart Python is a license-protected library, meaning that in order to use it, you need a license key. - [XY Chart Examples](https://lightningchart.com/python-charts/docs/examples/chart-xy/): Collection of XY chart code examples. - [Line Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/line-series/): Example code for creating line series charts. - [Point Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/point/): Example code for creating scatter/point series charts. - [Point-Line Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/point-line-series/): Example code for creating point-line combination charts. - [Spline Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/spline-series/): Example code for creating smooth spline series charts. - [Step Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/step-series/): Example code for creating step series charts. - [Area Series Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/area/): Example code for creating area series charts. - [Area Range Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/area-range/): Example code for creating area range series charts. - [Box Plot Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/box/): Example code for creating box plot charts. - [Heatmap Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/heatmap/): Example code for creating heatmap visualizations. - [Scrolling Heatmap Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/scrolling-heatmap/): Example code for real-time scrolling heatmaps. - [Figure and Text Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/figure-and-text/): Example code for adding figures and text to charts. - [Axis Example](https://lightningchart.com/python-charts/docs/examples/chart-xy/axis/): Example code for axis configuration. - [3D Chart Examples](https://lightningchart.com/python-charts/docs/examples/chart-3d/): Collection of 3D chart code examples. - [3D Line Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/line/): Example code for creating 3D line series. - [3D Point Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/point/): Example code for creating 3D scatter/point series. - [3D Surface Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/surface/): Example code for creating 3D surface visualizations. - [3D Scrolling Surface Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/scrolling-surface/): Example code for real-time 3D scrolling surfaces. - [3D Mesh Model Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/mesh-model/): Example code for rendering 3D mesh models. - [3D Box Example](https://lightningchart.com/python-charts/docs/examples/chart-3d/box/): Example code for creating 3D box series. - [Polar Chart Examples](https://lightningchart.com/python-charts/docs/examples/polar-chart/): Collection of polar chart code examples. - [Polar Area Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/area/): Example code for polar area charts. - [Polar Heatmap Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/heatmap/): Example code for polar heatmap visualizations. - [Polar Polygon Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/polygon/): Example code for polar polygon series. - [Polar Point Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/point/): Example code for polar scatter/point series. - [Polar Line Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/line/): Example code for polar line series. - [Polar Sector Example](https://lightningchart.com/python-charts/docs/examples/polar-chart/sector/): Example code for polar sector components. - [Bar Chart Example](https://lightningchart.com/python-charts/docs/examples/bar-chart/): Example code for creating bar charts. - [Spider Chart Example](https://lightningchart.com/python-charts/docs/examples/spider-chart/): Example code for creating spider/radar charts. - [Gauge Chart Example](https://lightningchart.com/python-charts/docs/examples/gauge-chart/): Example code for creating gauge charts. - [Pie Chart Example](https://lightningchart.com/python-charts/docs/examples/pie-chart/): Example code for creating pie and donut charts. - [Funnel Chart Example](https://lightningchart.com/python-charts/docs/examples/funnel-chart/): Example code for creating funnel charts. - [Pyramid Chart Example](https://lightningchart.com/python-charts/docs/examples/pyramid-chart/): Example code for creating pyramid charts. - [TreeMap Chart Example](https://lightningchart.com/python-charts/docs/examples/treemap-chart/): Example code for creating treemap visualizations. - [Map Chart Example](https://lightningchart.com/python-charts/docs/examples/map-chart/): Example code for creating map charts. - [Parallel Coordinate Example](https://lightningchart.com/python-charts/docs/examples/parallel-coordinate/): Example code for parallel coordinate charts. - [Data Grid Example](https://lightningchart.com/python-charts/docs/examples/data-grid/): Example code for creating data grid components.