Python is a widely-used programming language with interpreted, object-oriented, with dynamic semantics. It has existed since the late 1980’s and has grown rapidly with the rise of data analysis and machine learning libraries such as Pandas, Scikit-Learn, Statsmodels and other supporting open source libraries that enable its usage. All of these important features come despite Python’s relative slowness compared to high-performance languages such as C and Java.

It is widely available for use on the main operating systems such as Mac OS, Linux, and Windows. The library is supported by a large base of users with Python 2.7, which will be sunsetting in the years to come, for Python 3. Its primary support through ongoing maintenance and enhancements comes from the Python Software Foundation (PSF). The PSF’s mission is highly beneficial to Python as they commit to:

The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers.” – PSF Mission Statement

For beginners getting started with the language, and hopefully on their path to data analysis using Python, there are great materials to start writing available on its main website. One very important resource to Python developers and analysis is the Python Package Index,  which contains a listing of the massive amount of projects created to support the Python language (over 100k!).

Python is supported on Amazon Web Services, Google Cloud Platform, and other cloud technologies for application and analytical tool development.

Tips for Performing EDA With Python

What is Exploratory Data Analysis (EDA)? EDA with Python is a critical skill for all data analysts, scientists, and even…

2 months ago

Extracting Data From Gmail Emails With Python

Despite the mass investment by third parties to provide API access to reports and data that their customers want, email…

2 months ago

An API Based ETL Pipeline With Python – Part 2

A Slimmed Down ETL In this post, we provide a much simpler approach to running a very basic ETL. We…

3 months ago

The Growth of the Pandas Library

As data analytics, data science, and data engineering have exploded in popularity and growth as concepts, they've had some support…

4 months ago