While working through a Python data analytics course, I started to like Jupyter Notebooks a lot. Not only do we get much faster feedback when we plot our data, this format offers an effortless way to keep your documentation next to your code. Let us explore this fascinating runtime environment for our code.
On a freshly installed computer, I got this error message when I installed a package with pip:
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
This error shows up because pip needs to compile a few files as part of the installation, but there are no C++ build tools installed. Let us figure out how we can fix this problem.
I have some videos from which I would like to extract the audio and save it as MP3. I could do that manually with VLC media player, but there is a much better solution in Python.
Windows keeps the passwords around that you used to connect to a Wi-Fi network – long after you can remember them. Let us look how we can use Python to list those saved passwords on your machine.
If you must run Playwright on a specific browser, you will find a service like BrowserStack a great help. Let's look how we can connect Playwright to BrowserStack and Selenium Grid.
With the newly gained knowledge about Playwright, we have everything together to go and automate a browser to do repetitive tasks. Let's figure out how Playwright differs from Selenium when it comes to download Jetpack statistics.
In this post we explore 3 helpful ways to figure out what went wrong if Playwright cannot find the elements we are looking for.
Last week we got Playwright up and running in Python. In this post we build on that and start to automate our browser.
Over the last few weeks, I experimented with Playwright and wrote a few posts on how to work with it from C#. Because I got so many comments about Playwright whenever I blog about Selenium, I go for a slightly shorter set of posts that cover Playwright for Python users. The obstacles I run into in C# may happen to you in Python too.
If you need to find out what went wrong during an end-to-end test, a recorded video of the browser with all its interactions can be a time saver. Let's look at how we can create these videos with a dynamic Selenium Grid.