🔅 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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🔸 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.

📦 Exercice Files

🔅 CircuitPython: Connecting a Robot Cat to the Internet

🔊 Author: Charlyn Gonda
🔸 Date: 2021-11-04
⏰ Duration: 1h 14m

🌀 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.

CircuitPython: Connecting a Robot Cat to the Internet

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🔅 Python vs. R for Data Science

🔊 Author: Lavanya Vijayan
🔸 Date: 2021-10-04
⏰ Duration: 39m

🌀 Learn about the pros and cons of using Python and R, two common programming languages, when working on data science projects.

📗 Topics: R, Python

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🔸 Full description 🔸

Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, youll have the essential information you need to determine whether Python or R is right for you.This course was created by Madecraft. We are pleased to host this training in our library.

Python vs. R for Data Science

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🔅 From Java to Python OOP: Bridge the Gap for Java Developers

🔊 Author: Deepa Muralidhar
🔸 Date: 2022-02-04
⏰ Duration: 1h 7m

🌀 Learn about the object-oriented programming (OOP) features in newer versions of Python and compare them with Javas capabilities to help you grasp the concepts and syntax.

📗 Topics: Python, Object-Oriented Programming

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🔸 Full description 🔸

Most programmers are familiar with object-oriented programming (OOP), but do you know how it applies to Python? In this course, instructor Deepa Muralidhar trains Java developers in Python OOP. Deepa first introduces the key terms you will need to know. Then she walks you through class design, methods (including overloading), abstraction, inheritance, and more. Deepa goes in-depth on class design, with important details on Java syntax and Python syntax. Plus, she shows you Java syntax, Python syntax, abstract classes, and more with the correct inheritance text.

From Java to Python OOP: Bridge the Gap for Java Developers

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🔅 Advanced Python: Working with Databases

🔊 Author: Kathryn Hodge
🔸 Date: 2023-05-11
⏰ Duration: 2h 6m

🌀 Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.

📗 Topics: Databases, Python

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🔸 Full description 🔸

To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.