In this tutorial, we are going to learn how to read a file in Python 3. After we have learned how to open a file in Python, we are going to learn how to write to the file and save it again. In previous posts, we have learned how to open a range of different files using Python. For instance, we have learned how to open JSON, CSV, Excel, and HTML files using Pandas, and the json library. Here, however, we are going to open plain files (.txt) in Python.
Tag: import data
In this post, we are going to learn how to read Stata (.dta) files in Python.
As previously described (in the read .sav files in Python post) Python is a general-purpose language that also can be used for doing data analysis and data visualization. One example of data visualization will be found in this post.
One potential downside, however, is that Python is not really user-friendly for data storage. This has, of course, lead to that our data many times are stored using Excel, SPSS, SAS, or similar software. See, for instance, the posts about reading .sav, and sas files in Python: