🔅 Building Tools with Python

🔊 Author: Scott Simpson
🔸 Date: 2020-02-04
⏰ Duration: 56m

🌀 Streamline workflows by developing custom tools with Python. Learn about designing for end users, craftsmanship, and trust as they relate to building small software utilities.

📗 Topics: Python

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Tools aren't the flashiest, most attention-grabbing type of software. But a great tool—one that successfully automates or enhances a repetitive process—gives valuable time back to your colleagues, allowing them to spend less time clicking buttons and more time on thoughtful projects. Tool development exists in a space between IT support and software engineering, and if youre tasked with creating tools, there are some important principles to keep in mind. In this course, Scott Simpson discusses designing for end users, craftsmanship, and trust as they relate to building small software utilities. He surveys concepts related to tool development, and uses Python to explore ideas that youll want to keep in mind when developing tools for your users.

📦 Exercice Files

🔅 Python: Programming Efficiently

🔊 Author: Michele Vallisneri
🔸 Date: 2020-10-02
⏰ Duration: 2h 19m

🌀 Cut down on development time by writing Python code in an efficient manner. Learn about helpful third-party packages, strategies for improving code performance, and more.

📗 Topics: Python

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Cut down on your development time by learning how to write elegant code in an efficient manner, specifically in Python—the popular and pragmatic computer language. Michele Vallisneri explains how to make your Python code more expressive and concise, and leverage the most powerful features of the language. He shines a spotlight on some of the strongest third-party packages you can take advantage of, discusses object-oriented and functional programming, and shares strategies for improving the performance of your code. Michele illustrates these concepts with many intriguing examples, showing how to make 3D images and animations of the sun, draw fractals, implement a graphical programming language, and more.

📦 Exercice Files

🔅 Data Visualization in Python with Dash

🔊 Author: Robin Andrews
🔸 Date: 2022-01-13
⏰ Duration: 58m

🌀 Learn about how to build powerful and attractive data visualizations in Python with Dash.

📗 Topics: Data Visualization, DASH, Python

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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.

🔅 Rapid Application Development with Python

🔊 Author: Malcolm Shore
🔸 Date: 2020-08-24
⏰ Duration: 2h 6m

🌀 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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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.

📦 Exercice Files

🔅 pandas Code Challenges

🔊 Author: Harshit Tyagi
🔸 Date: 2022-03-29
⏰ Duration: 1h 23m

🌀 Test your pandas knowledge with this edition of Code Challenges.

📗 Topics: Pandas

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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.

🔅 Python for Data Science Tips, Tricks, and Techniques

🔊 Author: Ben Sullins
🔸 Date: 2022-12-02
⏰ Duration: 1h 1m

🌀 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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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.