Aspiring machine-learning and data-science developers now have more Microsoft-made free video tutorials. Thus, those tutorials are to learn how to build software in Python. Moreover, it is one of today’s most versatile and popular programming languages.
Nonetheless, Microsoft has already released two more python series for beginners in the form of three-hour courses on YouTube. It adds to the 44-part Python for beginners’ series it released last fall.
Those short tutorials were aiming at developers with a basic level of understanding of Python. It was also designed for developers who might have previously coded in JavaScript, rather than at complete novices.
Yet, 1.7 million times have been viewed in the first series. Thus, it suggests that it became an accessible resource for budding Pythonistas.
The new series of Python for beginners consists of 20 videos. Those videos run between two minutes and 15 minutes each. Moreover, it covers working with objected-oriented programming, files, and ‘anonymous functions’ or lambdas. A short demo video follows each tutorial. The tutors also introduce some newer functionality for supporting asynchronous development through async/await.
Susan Ibach is a business development manager from Microsoft’s Artificial Intelligence Gaming unit.
Christopher Harrison is a senior manager at Microsoft. They both presented the new series.
Even more Python for Beginners: Data Tools is the name for the second of the two new series. Thus, it consists of 31 videos and follows the same format.
Ibach and Harrison claim that it will help students build a toolkit to get into machine learning and data science using Python. It covers the use of popular data-science Python libraries, Jupyter Notebooks, and an accessible browser-based development environment.
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The pair wrote in a blog post that they are not going to get into conversations about building models and choosing algorithms. Nevertheless, they want to introduce what you will use when you begin the journey. The pair will highlight the favorite tool of data scientists, Jupyter Notebooks.
The pair introduced a couple of shared libraries, Panda and NumPy. They are to help people manage data. They said that we would see how to create tables in memory, how to save, how to load and manipulate data. Moreover, they also said that they would finish by opening Scikit-learn for creating a model and graphing the results.
The additional material and courses that Microsoft is linked to, of course, are offering instructions about how to use Python and associated tools within the Azure cloud.
For instance, the tutors suggest that students can predict flight delays by importing airline arrival data into a Jupyter notebook running on Notebooks of Azure.
Thus, you see that those tutorials are beneficial for beginners. The videos are for those who have a minimum level of understating of Python. The number of views suggests that those tutorials are useful and helpful for people around the world. Moreover, Ibach and Harrison are very professional about what they do. The language of the lessons are straightforward and for everyone. So, we hope that you will enjoy the Microsoft program.
