| SOC: | Rockchip RK3229 |
| CPU: | Quad core ARM Cortex-A7MP |
| GPU: | Penta core, OpenGL ES 1.1/2.0 and OpenVG 1.1 support |
| DRAM: | 1GB/2GB |
| EMMC: | 8GB/16GB/32GB |
| OS: | Android 7.1 |
| RJ45: | 100M |
| WIFI: | 2.4G/5.8GHz |
To get started with Bokeh, you'll need to have Python installed on your machine. Then, you can install Bokeh using pip:
# Add a line renderer with legend and line thickness p.line(x, y, legend_label="sin(x)", line_width=2)
import numpy as np from bokeh.plotting import figure, show
Bokeh 2.3.3 is a powerful and versatile data visualization library that can help you unlock the full potential of your data. With its elegant and concise API, Bokeh makes it easy to create stunning visualizations that are both informative and engaging. Whether you're a data scientist, analyst, or developer, Bokeh is definitely worth checking out.
# Show the results show(p)
| Basic Parameters | |
| Model Number: | T96mini |
| Processor: | Rockchip RK3229 |
| Processor Core: | Quad core ARM Cortex-A7MP |
| RAM: | DDR3: 1GB/2GB |
| ROM: | EMMC 8GB/16GB/32GB |
| Operation System: | Android 7.1 |
| WIFI: | 2.4G/5.8GHz |
| Ethernet: | 100M |
| I/O | |
| Video/Audio Input: | HDMI 2.0, AV (LR+CVBS) |
| Peripheral Interface: | USB 2.0 HOST x1, USB 2.0 OTG x1 |
| Power Interface: | DC 5V@2A |
| Other Interface: | IR receiver |
| Other Attributes | |
| Place of Origin: | Guangdong, China |
| Support Resolution: | 4K |
| Brand Name: | IK |
| Type: | Android Box |
| Certification: | CE, ROHS, FCC |
| OEM/ODM: | Support Custom LOGO |
| Warranty: | 1 year |
ID, MD, PCB, UI, hardware configuration, software functionality, etc.
ODM/OEM, sample processing, material processing,
SMT processing, and other subcontracting services.
To get started with Bokeh, you'll need to have Python installed on your machine. Then, you can install Bokeh using pip:
# Add a line renderer with legend and line thickness p.line(x, y, legend_label="sin(x)", line_width=2)
import numpy as np from bokeh.plotting import figure, show
Bokeh 2.3.3 is a powerful and versatile data visualization library that can help you unlock the full potential of your data. With its elegant and concise API, Bokeh makes it easy to create stunning visualizations that are both informative and engaging. Whether you're a data scientist, analyst, or developer, Bokeh is definitely worth checking out.
# Show the results show(p)
