Aspiring data-science and machine-learning builders now have extra Microsoft-made free video tutorials to discover ways to construct software program in Python, considered one of right this moment’s hottest and versatile programming languages.
Microsoft has launched two extra Python sequence for freshmen within the type of two three-hour programs on YouTube, which add to the 44-part Python for Inexperienced persons sequence it launched final fall.
Up to now, the primary sequence has been considered 1.7 million instances, suggesting it has turn into a preferred useful resource for budding Pythonistas.
The brand new Extra Python for Inexperienced persons sequence consists of 20 movies that run between two minutes and 15 minutes every. It covers working with information, lambdas or ‘nameless features’, and object-oriented programming, and every tutorial is adopted by a brief demo video. The tutors additionally introduce some newer performance to assist asynchronous growth by means of async/await.
The brand new sequence are as soon as once more offered by Christopher Harrison, a senior program supervisor at Microsoft, and Susan Ibach, a enterprise growth supervisor from Microsoft’s AI Gaming unit.
The second of the 2 new sequence, known as Even Extra Python for Inexperienced persons: Information Instruments, follows the identical format and consists of 31 movies.
Harrison and Ibach say it’ll assist college students construct a toolkit to get into knowledge science and machine studying utilizing Python. It covers the usage of Jupyter Notebooks, a preferred browser-based growth atmosphere, and widespread data-science Python libraries.
“Whereas we’re not going to get into conversations about selecting algorithms or constructing fashions, we’re going to introduce what you may use once you start the journey. We’ll spotlight Jupyter Notebooks, the favourite instrument of knowledge scientists,” the pair write in a blogpost.
“We’ll introduce a few widespread libraries – NumPy and pandas – that are used that can assist you handle knowledge. You may see tips on how to create tables in reminiscence, and tips on how to load, save and manipulate knowledge. We’ll end by opening Scikit-learn to create a mannequin and graph the outcomes.”
The programs and extra materials that Microsoft hyperlinks to after all supply directions on tips on how to use Python and related instruments throughout the Azure cloud.
For instance, the tutors counsel that college students might predict flight delays by importing airline arrival knowledge right into a Jupyter pocket book operating on Azure Notebooks.
Extra on Python and programming languages