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Month: November 2019

Tutorial: How to Read Stata Files in Python with Pandas

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:

How to Handle Coroutines with asyncio in Python

When a program becomes very long and complex, it is convenient to divide it into subroutines, each of which implements a specific task. However, subroutines cannot be executed independently, but only at the request of the main program, which is responsible for coordinating the use of subroutines.

In this post, we introduce a generalization of the concept of subroutines, known as coroutines: just like subroutines, coroutines compute a single computational step, but unlike subroutines, there is no main program to coordinate the results. The coroutines link themselves together to form a pipeline without any supervising function responsible for calling them in a particular order. 

Three Easy Methods to Upgrade Pip to the Latest Version

In this tutorial, we will learn how to upgrade pip. This may be handy, if we, for instance, are working with old Python environments, This, in turn, may leed to that we need to upgrade pip to the latest version.

In this post, we will use pip, conda (Anacondas package manager), and Anaconda Navigator to upgrade pip.