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We'll tell you how to test apps even if you really don't want to.
We show how to create a machine learning model using Colab, Pandas, and Sklearn.
We'll cover Python generators and explain why every developer needs them.
Let's prepare for the interview and remember what random numbers are in Python.
We dive into the math topics every data scientist needs.
We explore trends in Data Science and explain how business is changing and what impacts careers.
We explain what the KISS principle is and why principles are needed in programming.
Getting started with Java development: where to get it, how to install it, and how to configure everything you need.
We create one-dimensional and multidimensional arrays in Java. We learn methods and examples of working with arrays and explore the Arrays class.
Let's look at what exceptions are, why they are needed, and how to work with them.
We'll explain who a team leader is and how to become one.
We'll explain when agile methodologies shouldn't be implemented, which task trackers and services are best to use, and why the Scrum practice of Planning Poker is so interesting.