As shown in the code snippet above, these two approaches separate the string texts from the desired formats. For instanc

Needing to prepare strings in an applicable format such that we can present them is a common task. Conventionally, there are a couple of ways to format the strings — one using the format function and the other using C-style %-based formatting. Some trivial examples are shown below:

Here’s the dilemma you’re running into: If you install X v1.0, your second project can’t operate. However, if you install X v1.5, your first project can’t operate. Do we have to use two different computers for these projects? Certainly, this expensive approach will work, but what if you have multiple projects? It’s definitely impractical to have separate computers for different projects.

Beginners won’t find the concept of virtual environments relevant until they start working on some real projects. Take the following scenario: In one project, you use a particular package (A) that depends on version 1.0 of package X. However, in another project, you use package B, which depends on version 1.5 of package X.

Once the virtual environment is created, you can activate the environment by running the following code on your Mac (note that Windows uses a different command): source medium-env/bin/activate.

From now on, you’ll see that your Terminal prompt has a prefix of (medium-env), which indicates that you’re working in the virtual environment as you’re supposed to be. You can do whatever you need to do, such as installing new packages.

To address the possible conflicts between different projects, there is a smart solution that prior Python programmers have already developed for us — the virtual environment. The overall idea is that we create isolated work environments for each of our projects such that the versions of the packages in one project won’t have conflicts with other incompatible versions of the same packages in other projects.

Writer, Kaki Okumura, says Japanese people don’t go to the gym and exercise or do super cool CrossFit. They just walk. Walking created a different kind of life-changing magic for me.

There are several approaches for managing virtual environments, such as venv and conda. Just to provide with you a proof of concept, the following code shows you the common manipulations of virtual environments using the venv module, which is part of the standard Python library.

These late night walks became a thing. I used them to walk and listen to self-help stories. It wasn’t a success habit. It was a survival mechanism. Walking led me to new insights. Walks became a way to escape my reality and reflect. Walking became an activity to listen to someone else’s wisdom. Walking led me to the insights that saved my life.

If you’re new to virtual environments, it’s easier to set one up by installing Anaconda, which will take care of your Python interpreter, package management, and virtual environment. For more details, please visit Anaconda’s website.

Peter Diamandis has a B.S. in molecular genetics, an M.S. in aeronautics and astronautics, and a Harvard Medical School M.D. He’s a prodigy who went on to become a successful entrepreneur by pushing the frontier of tech with Zero Gravity. Here he explains some of the most exciting inventions and innovations being worked on right now which could be part of our daily lives soon. For anyone who loves tech, this is a must-read.

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formation. It keeps adding the cumulative. For example, if you add an expanding function to the ‘High’ column first element remains the same. The second element becomes cumulative of the first and second element, the third element becomes cumulative of the first, second, and third element, and so on. You can use aggregate functions like mean, median, standard deviation, etc. on it too.

Danish philosopher Søren Kierkegaard said: “Every day, I walk myself into a state of well-being