Python is a powerful programming language favored by data scientists for its simplicity and robust libraries for data manipulation, analysis, and visualization. Our ‘Data Analysis With Python’ subcategory features articles that delve into the use of Python in data analytics. From beginner-friendly introductions to Python and its data-centric libraries to advanced data analysis techniques, this subcategory is a rich resource. So whether you’re a novice programmer aiming to learn Python for data analysis or an experienced data scientist seeking to refine your Python skills, this subcategory has something for you.
I attempted a Github checkout of a project on Windows I had worked on the evening before on my Mac and faced “Fatal: unable to check out working tree”. Wild problem but easy solution.
As you start using Mac OS X for your Microsoft Azure Data development, VSCode may be just one of the many development packages that you want to set up but is one of the most important. With the setup, having the ability to use Github as a code repository will definitely make life easier as many Azure repositories and services utilize Github.
For those DBAs are using SQL for data discovery, the move to data science can involve a brand-new set of varied tools and technologies. This article is a walkthrough of setting up the tooling to do some data discovery using Python. By setting up your workflow using, GitHub, VSCode and Python you will have the basic architecture set up for Data Exploration.
