📋 This Python program shows how to use namedtuple to create lightweight, readable data structures instead of regular tuples!
✨ Example Output:
Alice 30 Paris
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🔅 Data Science Foundations: Data Mining in Python
🌐 Author: Barton Poulson
🔰 Level: Intermediate
⏰ Duration: 3h 3m
📗 Topics: Data Mining, Python
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🌀 Learn the key concepts and skills behind one of the most important elements of data science: data mining.
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Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. In this course, instructor Barton Poulson introduces you to data mining that uses the programming language Python. Barton goes over some preliminaries, such as the tools you may use for data mining. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more. Barton covers classification, including kNN and decision trees. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth. Barton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools.
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🔅 Learning the Python 3 Standard Library
🌐 Author: Kathryn Hodge
🔰 Level: Intermediate
⏰ Duration: 2h 16m
📗 Topics: Python
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🌀 Explore the Python 3 standard library. Learn how to take advantage of its built-in modules to calculate statistics, format dates and times, get content from the internet, and more.
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Python libraries can cut your development time and reduce your frustration with coding. In this Python 3 course, follow Kathryn Hodge as she walks through the Python standard library. Discover how familiarizing yourself with its facilities can make writing code in this concise, elegant language a little easier. Familiarize yourself with the library's built-in functions, math modules, and input and output modules. Learn how to get information from the Internet with the HTTP module, and more.This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.
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🔅 Learning Python with PyCharm
🌐 Author: Mehdi Oulmakki
🔰 Level: Beginner
⏰ Duration: 2h 25m
📗 Topics: Pycharm, Python
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🌀 Learn about concepts of software development and how you can leverage PyCharm as a one stop shop solution for managing the intricacies of development.
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PyCharm is a leading tool for Python development. In this course, instructor Mehdi Oulmakki introduces several key best practices for Python development and shows you how to use PyCharm as a one stop shop solution for managing the intricacies of development. First, Mehdi walks you through installing Python and PyCharm and gives you some useful tips and tricks for writing and developing code with PyCharm. He shows you how to create and navigate your projects in the PyCharm UI. Next, Mehdi discusses ways to use PyCharm with Git and GitHub to organize, save, and collaborate on your work. He covers managing dependencies, then goes into facets of code quality, how debugging improves your code quality, and ways to use breakpoints and unit tests for debugging. Plus, Mehdi goes over the principles and purpose of code style and the quality-of-life features within PyCharm that help reformat and refactor your code safely.
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