Tag: MAC

Brewing with Homebrew

Elena Daehnhardt · 11 Aug, 2025

Manually compiling software from source or navigating dependency hell on macOS is inefficient. Homebrew solves this by providing a robust package management layer. Here is a complete setup guide, command cheat sheet, and a list of essential developer tools. Read more...

The Token Way to GitHub Security

Elena Daehnhardt · 8 May, 2023

In this brief post I describe the setup and usage of GitHub personal access tokens. Read more...

The SSH host key mystery

Elena Daehnhardt · 10 Apr, 2023

What do you call a developer who's afraid of the dark? A Git-in-the-middle attacker! But seriously, if you've ever seen a warning message about a changed SSH host key while pushing code changes, don't panic - it might just be a legitimate update. To fix the issue, simply delete the saved RSA key fingerprint and let the SSH client verify the new one. And remember, always keep an eye out for those pesky man-in-the-middle attackers lurking in the shadows! You can learn how to create and use SSH keys, explained so simply in this post. Read more...

MAC OS Speed Up

Elena Daehnhardt · 7 Aug, 2022

After a while, my Mac OS computer started to work slower. I have searched for possible solutions to run my computer faster without much latency. We can upgrade our computer storage and install a more powerful processor unit to speed up Mac OS. In this blog post, I will, however, focus on a more straightforward way without any system upgrades, which are costly and take time. Read more...

GitHub Codespaces

Elena Daehnhardt · 5 Jan, 2022

GitHub codespaces provide a development environment running in the cloud. A codespace environment is created with the help of configuration files added to a GitHub repository. Read more...

TensorFlow on M1

Elena Daehnhardt · 5 Jan, 2022

TensorFlow is a free OS library for machine learning created by Google Brain. Tensorflow has excellent functionality for building deep neural networks. I have chosen TensorFlow because it is pretty robust, efficient, and can be used with Python. Since I like Jupyter Notebooks and Conda, they were also installed on my system. Next, I am going through simple steps to install TensorFlow and the packages above on M1 macOS Monterey. Read more...

Brewing with Homebrew Elena Daehnhardt · 11 Aug, 2025 Manually compiling software from source or navigating dependency hell on macOS is inefficient. Homebrew solves this by providing a robust package management layer. Here is a complete setup guide, command cheat sheet, and a list of essential developer tools. Read more...
The Token Way to GitHub Security Elena Daehnhardt · 8 May, 2023 In this brief post I describe the setup and usage of GitHub personal access tokens. Read more...
The SSH host key mystery Elena Daehnhardt · 10 Apr, 2023 What do you call a developer who's afraid of the dark? A Git-in-the-middle attacker! But seriously, if you've ever seen a warning message about a changed SSH host key while pushing code changes, don't panic - it might just be a legitimate update. To fix the issue, simply delete the saved RSA key fingerprint and let the SSH client verify the new one. And remember, always keep an eye out for those pesky man-in-the-middle attackers lurking in the shadows! You can learn how to create and use SSH keys, explained so simply in this post. Read more...
MAC OS Speed Up Elena Daehnhardt · 7 Aug, 2022 After a while, my Mac OS computer started to work slower. I have searched for possible solutions to run my computer faster without much latency. We can upgrade our computer storage and install a more powerful processor unit to speed up Mac OS. In this blog post, I will, however, focus on a more straightforward way without any system upgrades, which are costly and take time. Read more...
GitHub Codespaces Elena Daehnhardt · 5 Jan, 2022 GitHub codespaces provide a development environment running in the cloud. A codespace environment is created with the help of configuration files added to a GitHub repository. Read more...
TensorFlow on M1 Elena Daehnhardt · 5 Jan, 2022 TensorFlow is a free OS library for machine learning created by Google Brain. Tensorflow has excellent functionality for building deep neural networks. I have chosen TensorFlow because it is pretty robust, efficient, and can be used with Python. Since I like Jupyter Notebooks and Conda, they were also installed on my system. Next, I am going through simple steps to install TensorFlow and the packages above on M1 macOS Monterey. Read more...