🔸 Full description 🔸
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.
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🔅 Rapid Application Development with Python
🔊 Author: Malcolm Shore
🔸 Date: 2020-08-24
⏰ Duration: 2h 6m
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📗 Topics: Rapid Application Development, Python
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🔊 Author: Malcolm Shore
🔸 Date: 2020-08-24
⏰ Duration: 2h 6m
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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.📗 Topics: Rapid Application Development, Python
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🔸 Full description 🔸
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 library—which brings the wxWidgets capability to Python—and 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 library—which brings the wxWidgets capability to Python—and 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.
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🔅 pandas Code Challenges
🔊 Author: Harshit Tyagi
🔸 Date: 2022-03-29
⏰ Duration: 1h 23m
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📗 Topics: Pandas
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🔊 Author: Harshit Tyagi
🔸 Date: 2022-03-29
⏰ Duration: 1h 23m
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Test your pandas knowledge with this edition of Code Challenges.📗 Topics: Pandas
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🔸 Full description 🔸
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 order—and 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 order—and at your own pace. Tune in to get the hands-on practice you need to keep your skills sharp.
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🔅 Python for Data Science Tips, Tricks, and Techniques
🔊 Author: Ben Sullins
🔸 Date: 2022-12-02
⏰ Duration: 1h 1m
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📗 Topics: Data Science, Python
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🔊 Author: Ben Sullins
🔸 Date: 2022-12-02
⏰ Duration: 1h 1m
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Explore a series of tips and tricks that you can put into practice to improve your skills in Python.📗 Topics: Data Science, Python
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🔸 Full description 🔸
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 data—from 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 data—from 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.
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🔅 CircuitPython: Connecting a Robot Cat to the Internet
🔊 Author: Charlyn Gonda
🔸 Date: 2021-11-04
⏰ Duration: 1h 14m
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📗 Topics: Internet of Things, Python
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🔊 Author: Charlyn Gonda
🔸 Date: 2021-11-04
⏰ Duration: 1h 14m
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Learn how to use CircuitPython for a practical, real-world project: Programming a robot cat that you control over the internet.📗 Topics: Internet of Things, Python
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🔸 Full description 🔸
While many Internet of Things projects send data to the cloud, sometimes you want a physical indication of an event from the internet. In this course, Charlyn Gonda shows you how to use CircuitPython—a version of Python specifically for microcontrollers—to program a robot cat that reacts to events while connected to the internet. Charlyn shows how to code for common hardware devices like LEDs and servos, and explains a common messaging protocol for IoT projects called message queue telemetry transport, or MQTT. If youre looking for an internet cat video that actually teaches you something useful, join Charlyn as she shows how to program this robot cat.
While many Internet of Things projects send data to the cloud, sometimes you want a physical indication of an event from the internet. In this course, Charlyn Gonda shows you how to use CircuitPython—a version of Python specifically for microcontrollers—to program a robot cat that reacts to events while connected to the internet. Charlyn shows how to code for common hardware devices like LEDs and servos, and explains a common messaging protocol for IoT projects called message queue telemetry transport, or MQTT. If youre looking for an internet cat video that actually teaches you something useful, join Charlyn as she shows how to program this robot cat.
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