Code Clinic: Python
Video: WelcomeExplore solutions to common Python programming challenges, and compare the results with other programming languages, in the Code Clinic series.
Many successful programmers know more than just a computer language. They also know how to think about solving problems. They use "computational thinking": breaking a problem down into segments that lend themselves to technical solutions. Code Clinic is a series of six courses where lynda.com authors solve the same problems using different programming languages. Here, Barron Stone works with Python.
Barron introduce challenges and provides an overview of his solutions in Python. Challenges include topics such as statistical analysis, searching directories for images, and accessing peripheral devices.
Visit other courses in the series to see how to solve the exact same challenges in languages like C#, C++, Java, PHP, and Ruby.
Hello, and welcome to Code Clinic for Python. My name is Barron Stone, and I'm excited to show you my solutions for the challenges proposed to the Code Clinic authors. In this month's series, we'll explore creative and efficient ways to use Python to solve a range of problems. I'll describe some of the unique aspects of working with this language and show you some tips on how to make your code run faster, be more reliable, as well as pointers on making it more readable.
If you're going to become a better programmer, it's important to look at different ways of solving the same problem. If you search the Lynda.com library for Code Clinic, you'll find additional courses by different authors using other languages. Each Code Clinic author solves the exact same set of problems, so you can compare different solutions, as well as the pros and cons of each language. If you're looking for tips on better coding or trying to decide on your next new programming language, you're going to love Code Clinic. So, let's get started with Code Clinic for Python.
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