π
Data Visualization in Python with Dash
π Author: Robin Andrews
πΈ Date: 2022-01-13
β° Duration: 58m
π
π Topics: Data Visualization, DASH, Python
π· Join @linkedin_learning for more courses
π Author: Robin Andrews
πΈ Date: 2022-01-13
β° Duration: 58m
π
Learn about how to build powerful and attractive data visualizations in Python with Dash.
π Topics: Data Visualization, DASH, Python
π· Join @linkedin_learning for more courses
π6β€3π₯1
πΈ Full description πΈ
Data is everywhere. Its fundamental to your business process. It allows you to make sound, well-informed decisions driven by evidence, not just conjecture. But how should you represent it? The answer depends, especially when youre working with stakeholders who dont have a technical background. Thats where Dash comes in. Its a powerful and easy-to-use data visualization tool that can help you make optimal strategic decisions.In this course, instructor Robin Andrews gives you an overview of everything you need to know to get started using Dash with Python. Discover how to build powerful and attractive data visualizations. Learn about creating plots, styling applications, and adding user interactivity to cultivate more responsive, data-driven relationships. Robin explores strategies to help you get the most out of the Dash experience, and shows you how to deploy your Dash apps to the cloud using Heroku.
Data is everywhere. Its fundamental to your business process. It allows you to make sound, well-informed decisions driven by evidence, not just conjecture. But how should you represent it? The answer depends, especially when youre working with stakeholders who dont have a technical background. Thats where Dash comes in. Its a powerful and easy-to-use data visualization tool that can help you make optimal strategic decisions.In this course, instructor Robin Andrews gives you an overview of everything you need to know to get started using Dash with Python. Discover how to build powerful and attractive data visualizations. Learn about creating plots, styling applications, and adding user interactivity to cultivate more responsive, data-driven relationships. Robin explores strategies to help you get the most out of the Dash experience, and shows you how to deploy your Dash apps to the cloud using Heroku.
π12β€5π₯1
π
Rapid Application Development with Python
π Author: Malcolm Shore
πΈ Date: 2020-08-24
β° Duration: 2h 6m
π
π Topics: Rapid Application Development, Python
π· Join @linkedin_learning for more courses
π Author: Malcolm Shore
πΈ Date: 2020-08-24
β° Duration: 2h 6m
π
Learn how to quickly develop Python graphical user interface (GUI) apps using the wxPython library, which brings the wxWidgets capability to Python, and the wxGlade tool.
π Topics: Rapid Application Development, Python
π· Join @linkedin_learning for more courses
π10π₯1
πΈ Full description πΈ
Developing graphical user interfaces (GUIs) in Python traditionally involves a lot of manual coding. wxGlade, a GUI designer written in Python for the wxPython GUI toolkit, was designed to help simplify this process. In this course, learn how to quickly develop Python GUI apps using the wxPython libraryβwhich brings the wxWidgets capability to Pythonβand the wxGlade tool. To lend each concept a real-world context, instructor Malcom Shore steps through how to build a cybersecurity compliance app based on the NIST Cybersecurity Framework. Malcom begins by detailing how to create a simple wxPython application. He then shows how to construct a user interface for your application using wxGlade and add functional application code to put the finishing touches on your project.
Developing graphical user interfaces (GUIs) in Python traditionally involves a lot of manual coding. wxGlade, a GUI designer written in Python for the wxPython GUI toolkit, was designed to help simplify this process. In this course, learn how to quickly develop Python GUI apps using the wxPython libraryβwhich brings the wxWidgets capability to Pythonβand the wxGlade tool. To lend each concept a real-world context, instructor Malcom Shore steps through how to build a cybersecurity compliance app based on the NIST Cybersecurity Framework. Malcom begins by detailing how to create a simple wxPython application. He then shows how to construct a user interface for your application using wxGlade and add functional application code to put the finishing touches on your project.
π16β€3π₯3
Rapid Application Development with Python.zip
307.9 MB
π7β€4π₯1
π
pandas Code Challenges
π Author: Harshit Tyagi
πΈ Date: 2022-03-29
β° Duration: 1h 23m
π
π Topics: Pandas
π· Join @linkedin_learning for more courses
π Author: Harshit Tyagi
πΈ Date: 2022-03-29
β° Duration: 1h 23m
π
Test your pandas knowledge with this edition of Code Challenges.
π Topics: Pandas
π· Join @linkedin_learning for more courses
β€4π3
πΈ Full description πΈ
Want to test your pandas skills? These concise challenges let you stretch your brain and test your talents. Instructor Harshit Tyagi shares over a dozen pandas challenges, as well as his own solutions to each problem. Harshits challenges cover: Reading files and initial exploration of data using pandas attributes; data cleaning; creating subsets of data using indexing and slicing; writing queries to filter out rows based on conditional statements and Boolean indexing; and grouping and aggregation to answer categorical questions. Learn to apply statistical functions to groups. And since each challenge is self-contained, you can complete the course in any orderβand at your own pace. Tune in to get the hands-on practice you need to keep your skills sharp.
Want to test your pandas skills? These concise challenges let you stretch your brain and test your talents. Instructor Harshit Tyagi shares over a dozen pandas challenges, as well as his own solutions to each problem. Harshits challenges cover: Reading files and initial exploration of data using pandas attributes; data cleaning; creating subsets of data using indexing and slicing; writing queries to filter out rows based on conditional statements and Boolean indexing; and grouping and aggregation to answer categorical questions. Learn to apply statistical functions to groups. And since each challenge is self-contained, you can complete the course in any orderβand at your own pace. Tune in to get the hands-on practice you need to keep your skills sharp.
π7β€3
pandas Code Challenges.zip
235.9 MB
π9β€4
π
Python for Data Science Tips, Tricks, and Techniques
π Author: Ben Sullins
πΈ Date: 2022-12-02
β° Duration: 1h 1m
π
π Topics: Data Science, Python
π· Join @linkedin_learning for more courses
π Author: Ben Sullins
πΈ Date: 2022-12-02
β° Duration: 1h 1m
π
Explore a series of tips and tricks that you can put into practice to improve your skills in Python.
π Topics: Data Science, Python
π· Join @linkedin_learning for more courses
π10β€5
πΈ Full description πΈ
Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with dataβfrom ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.
Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with dataβfrom ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.
π9β€1
π
CircuitPython: Connecting a Robot Cat to the Internet
π Author: Charlyn Gonda
πΈ Date: 2021-11-04
β° Duration: 1h 14m
π
π Topics: Internet of Things, Python
π· Join @python_trainings for more courses
π Author: Charlyn Gonda
πΈ Date: 2021-11-04
β° Duration: 1h 14m
π
Learn how to use CircuitPython for a practical, real-world project: Programming a robot cat that you control over the internet.
π Topics: Internet of Things, Python
π· Join @python_trainings for more courses
π9π₯4β€1