🔸 Full description 🔸

Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.

🔅 Using Python with Excel

🔊 Author: Anthony Sagely
🔸 Date: 2019-10-31
⏰ Duration: 1h 22m

🌀 Take your Excel skills further by using Python. Discover how to inspect, filter, clean, convert, and visualize data with Excel and Python libraries like pandas and openpyxl.

📗 Topics: Microsoft Excel, Python

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🔸 Full description 🔸

Python is the world's fastest growing programming language. It's a powerful tool that is helping to streamline development and data science. In this course from Madecraft, you can learn how to combine the power of the Python language with the data analysis and reporting tools in Microsoft Excel. Discover how to leverage the pandas and openpyxl libraries to inspect, filter, clean, and convert data and how to build solid reports that help businesses take action. Discover how to work with large amounts of data that would be unmanageable in Excel alone. By the end of this course, viewers will learn how this combination of tools can lead businesses to better insights than ever before.

This course was created by Madecraft. We are pleased to host this content in our library.

📦 Exercice Files

🔅 Managing Python Projects

🔊 Author: Miki Tebeka
🔸 Date: 2019-12-06
⏰ Duration: 48m

🌀 Get tips for efficiently managing your Python projects. Learn how to help your team stay coordinated as you bring your projects to the finish line.

📗 Topics: Python

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🔸 Full description 🔸

While the work of coding can be a solitary endeavor, software developers don't work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.

🔅 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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🔸 Full description 🔸

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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🔸 Full description 🔸

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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