Of course, you can. However, the question misses the point. It’s not about how many programming languages you know. It’s about how much expertise you have in the areas that matter. If you are good at Python, you’ve already proven that you have expertise in the technical programming area. Now, it’s much more about how … Read more
Yesterday, I found this email in my INBOX — sent by Finxter Muhammad, one of my most loyal “Coffee Break Python” email readers: ~~~ I have good news I got a job as a Python programmer in a software house.All credit goes to you – Your daily puzzles made me good in Python….. ~~~ While … Read more
Today, I filled in the author questionnaire for any author who publishes a book with the international techbook publisher NoStarchPress. I share this article because (1) other authors may be interested in how the concrete questions look like, and (2) Finxter readers may be interested in the upcoming book “Python One-Liners” (to appear in 2019) … Read more
You may know the np.cumsum() function from the NumPy library that calculates the cumulative sum of a given NumPy array. How can we implement this function in Python? Studying this will not only show you how the NumPy cumsum function works, but it’ll also make you a better coder because it contains many important concepts … Read more
You can play with the following interactive Python code to calculate the variance of a 2D array (total, row, and column variance). Here’s another practical example: What is the output of this puzzle?*Advanced Level* (solution below) Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. This puzzle introduces a … Read more
This article does not give you the standard advice: do what you love. You should love what you do but you don’t necessarily have to do what you love. Oftentimes, the love comes by being successful in a thing. But to be successful, you have to differentiate yourself in the 21st century. In business, it’s … Read more
Python’s library for data science, NumPy, allows you to slice multidimensional arrays easily. For multi-dimensional slices, you can use one-dimensional slicing for each axis separately. You define the slices for each axis, separated by a comma. Here are a few examples drawn from my comprehensive NumPy tutorial. Take your time to thoroughly understand each of … Read more
All programming is not created equal. Having said this, I don’t know a single programmer who regrets his choice of learning to program. With growing automation, programming becomes more and more a skill that is at the heart of many tasks in our society. No matter whether you work in the medicine, logistics, retail, or … Read more
I’m a full-time online business owner working in the Python education space. But I started my career by working as a doctoral computer science researcher at the University of Stuttgart, Germany. While I was working there, I started my online business by finishing a few Python freelancing jobs. Creating a side-business helped me greatly in … Read more
Have you ever calculated your market value as a Python developer? When estimating the value of a company, analysts often use multiples of its yearly earnings. Let’s take this approach to come up with a rough estimate of how much your Python skills are worth. Say, we are taking a low multiple of 10x of … Read more
If you’ve used the sklearn library in your own code, you may have realized that all attributes are suffixed with a trailing underscore. Here’s an example for the k-means algorithm: In the second-last line, we used the kmeans attribute cluster_centers_. Why does sklearn library not use the attribute name cluster_centers? ‘The short answer is, the … Read more
Guido doesn’t like lambda functions too much. Yet, most large code projects contain a lot of them! (Many coders use lambda functions as GUI callbacks, etc.) In this “Coffee Break Python” email series, we take a pragmatic approach regarding Python code style — living in the “is” rather than in the “should be” world. Can … Read more