Dashboarding Overview

 Python, each with its own strengths and capabilities:


Dash: A Python framework for building web analytic applications, suitable for highly customized user interfaces. It runs on top of Flask, Plotly.js, and React.js.


Panel: Works with visualizations from Bokeh, Matplotlib, HoloViews, and other Python plotting libraries. It allows for creating quick data exploration tools in Jupyter Notebooks or standalone deployed apps in dashboards.


Voila: Turns Jupyter notebooks into standalone web applications. It's compatible with layout tools like Jupyter-flex or templates like voila-vuetify.


Streamlit: Easily turns data scripts into shareable web apps, focusing on Python scripting, treating widgets as variables, and reusing data and computation.


Other tools and libraries for dashboarding in Python include:


Bokeh: A plotting library, widget, and app library that acts as a server for both plots and dashboards. Panel is built on top of Bokeh.


Ipywidgets: Provides Jupyter-compatible widgets and an interface supported by many Python libraries. Sharing as a dashboard requires a separate deployable server like Voila.


Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python.


Bowtie: Allows users to build dashboards in pure Python.


Flask: A Python-backed web server that builds arbitrary websites, including those with Python plots that can function as Flask dashboards.


These dashboarding tools simplify the dynamic aspect of business data presentation and enable stakeholders to understand and make informed decisions based on the data.






Python, each with its own strengths and capabilities:


Dash: A Python framework for building web analytic applications, suitable for highly customized user interfaces. It runs on top of Flask, Plotly.js, and React.js.


Panel: Works with visualizations from Bokeh, Matplotlib, HoloViews, and other Python plotting libraries. It allows for creating quick data exploration tools in Jupyter Notebooks or standalone deployed apps in dashboards.


Voila: Turns Jupyter notebooks into standalone web applications. It's compatible with layout tools like Jupyter-flex or templates like voila-vuetify.


Streamlit: Easily turns data scripts into shareable web apps, focusing on Python scripting, treating widgets as variables, and reusing data and computation.


Other tools and libraries for dashboarding in Python include:


Bokeh: A plotting library, widget, and app library that acts as a server for both plots and dashboards. Panel is built on top of Bokeh.


Ipywidgets: Provides Jupyter-compatible widgets and an interface supported by many Python libraries. Sharing as a dashboard requires a separate deployable server like Voila.


Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python.


Bowtie: Allows users to build dashboards in pure Python.


Flask: A Python-backed web server that builds arbitrary websites, including those with Python plots that can function as Flask dashboards.


These dashboarding tools simplify the dynamic aspect of business data presentation and enable stakeholders to understand and make informed decisions based on the data.






Comments

Post a Comment

Popular posts from this blog

Common cybersecurity terminology

  As you’ve learned, cybersecurity (also known as security) is the practice of ensuring confidentiality, integrity, and availability of information by protecting networks, devices, people, and data from unauthorized access or criminal exploitation. In this reading, you’ll be introduced to some key terms used in the cybersecurity profession. Then, you’ll be provided with a resource that’s useful for staying informed about changes to cybersecurity terminology. Key cybersecurity terms and concepts There are many terms and concepts that are important for security professionals to know. Being familiar with them can help you better identify the threats that can harm organizations and people alike. A security analyst or cybersecurity analyst focuses on monitoring networks for breaches. They also help develop strategies to secure an organization and research information technology (IT) security trends to remain alert and informed about potential threats. Additionally, an analyst work...
Read more

Introduction to security frameworks and controls

  Imagine you're working as a security analyst and receive  multiple alerts about suspicious activity on the network.  You realize that you'll need to implement  additional security measures to keep  these alerts from becoming  serious incidents. But where do you start? Play video starting at ::17 and follow transcript 0:17 As an analyst, you'll start by identifying  your organization's critical assets and risks.  Then you'll implement  the necessary frameworks and controls. Play video starting at ::27 and follow transcript 0:27 In this video, we'll discuss how security professionals  use frameworks to continuously identify and manage risk.  We'll also cover how to use  security controls to manage or reduce specific risks. Play video starting at ::40 and follow transcript 0:40 Security frameworks are guidelines  used for building plans  to help mitigate risks and threats to data and privacy.  Security frameworks ...
Read more

syllabus

Cybersecurity program: Year 1: Foundation Courses Semester 1: Introduction to Cybersecurity Fundamentals of Information Technology Programming Basics (Python, C++) Discrete Mathematics Digital Logic Design Lab Work (Programming, IT Fundamentals) Semester 2: Data Structures and Algorithms Computer Networks Operating Systems Cyber Law and Ethics Probability and Statistics Lab Work (Data Structures, Networks) Year 2: Core Cybersecurity Courses Semester 3: Network Security Cryptography Database Management Systems Web Technologies Software Engineering Lab Work (Network Security, Cryptography) Semester 4: Ethical Hacking Secure Coding Practices Wireless and Mobile Security Cyber Forensics Human-Computer Interaction Lab Work (Ethical Hacking, Forensics) Year 3: Advanced Cybersecurity Topics Semester 5: Advanced Cryptography Intrusion Detection and Prevention Systems Cloud Security Risk Management and Compliance Elective I (e.g., Blockchain Security, IoT Security) Lab Work (Intrusion Detection...
Read more