Template:Panel/doc

From Research Computing Website

Inserts a panel with the ability to alternate the image position and manage color schemes manually.

Template parameters

ParameterDescriptionTypeStatus
Background colorbgcolor

HEX or web color code for the panel background

Default
#FFF
Example
gold or #E4444A
Stringsuggested
Text colorcolor

HEX or web color code for the foreground text

Default
#000
Example
black or #F0F0F0
Stringsuggested
Add shadow?shadow

no description

Example
'1' or 'true' or 'y' or 'yes'
Stringoptional
Image nameimage

The name of the uploaded image file

Example
Card-linux-intro-1.png
Page namesuggested
Link image totarget

The name of a wiki page that is linked to the panel image.

Page namesuggested
Image positionimage-position

Moves image to the left or to the right side

Suggested values
left right
Default
left
Stringsuggested
Panel titletitle

no description

Stringsuggested
Panel taglinetagline

no description

Stringsuggested
Move header slightly to the panel center?center-header

Makes panel header float to center

Example
'1' or 'true' or 'y' or 'yes'
Stringoptional
Panel contentcontent

no description

Unbalanced wikitextsuggested

Code

{{Panel
|bgcolor=
|color=
|shadow=
|image=
|target=
|image-position=
|title=
|tagline=
|center-header=
|content=
}}

Simple panel

{{Panel
|image=Card-advance-python-650x488.jpg
|title=Advanced Python
|tagline=00/00/0000
|content=In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
}}
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

Image to the left

{{Panel
|image=Card-advance-python-650x488.jpg
|image-position=left
|title=Advanced Python
|tagline=00/00/0000
|content=In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
}}
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

Shadow

{{Panel
|image=Card-advance-python-650x488.jpg
|image-position=left
|title=Advanced Python
|tagline=00/00/0000
|content=In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
|shadow=yes
}}
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

Colored

{{Panel
|bgcolor=#2073A6
|color=#fff
|image=Card-advance-python-650x488.jpg
|image-position=left
|title=Advanced Python
|tagline=00/00/0000
|content=In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
}}
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

Image link

{{Panel
|bgcolor=#2073A6
|color=#fff
|image=Card-advance-python-650x488.jpg
|title=Advanced Python
|tagline=00/00/0000
|content=In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
|target=Advanced_Python
|shadow=yes
}}
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

Default header alignment

Introduction to Python
00/00/0000
In this training, we will firstly explain the Python landscape and context. Then we will cover the basics of the language, its main building blocks that form the syntax of such language. In this regard we will study the variables, the keywords, the main data structures, the control blocks and the notion of modules. This will be an interactive training with several hands-on exercises and live-coding.
Intermediate Python
00/00/0000
In this second level, we will deal with important notions that help to structure one's coding project, such as functions, classes and exceptions. We will also see how to use Python for data science and visualization using libraries like Pandas, NumPy or Matplotlib.
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.

"Centered" header alignment

Introduction to Python
00/00/0000
In this training, we will firstly explain the Python landscape and context. Then we will cover the basics of the language, its main building blocks that form the syntax of such language. In this regard we will study the variables, the keywords, the main data structures, the control blocks and the notion of modules. This will be an interactive training with several hands-on exercises and live-coding.
Intermediate Python
00/00/0000
In this second level, we will deal with important notions that help to structure one's coding project, such as functions, classes and exceptions. We will also see how to use Python for data science and visualization using libraries like Pandas, NumPy or Matplotlib.
Advanced Python
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
Imageless Panel
00/00/0000
In this third level, we will extensively make use of Python libraries in the context of AI and Machine Learning, and explain how to use these packages in an HPC environment.
Cookies help us deliver our services. By using our services, you agree to our use of cookies.
© 2025 | RComputing