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Category: Python

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.

Dimensionality Reduction Using scikit-learn in Python

March 10, 2020
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This article contains affiliate links. For more, please read the T&Cs. Datasets with a large number of features are very […]

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Linear Regression in Python Using Statsmodels

February 25, 2020
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What is Regression? In the simplest terms, regression is the method of finding relationships between different phenomena. It is a […]

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Using Pandas to explore data in Excel files

February 22, 2020
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Introduction: When it comes to Data Science, we need to talk about data, and data comes in a lot of […]

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Seaborn Visualizations 101

January 26, 2020
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Introduction In this article, we are going to get a detailed explanation of Seaborn Visualizations in Python. Seaborn is a statistical […]

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Matplotlib Visualizations 101

January 20, 2020
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Introduction In this article, we are going to get a detailed explanation of Matplotlib Visualizations in Python. Matplotlib is the […]

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Tips for Performing EDA With Python

December 6, 2019
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This article contains affiliate links. For more, please read the T&Cs. What is Exploratory Data Analysis (EDA)? EDA with Python […]

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Extracting Data From Gmail Emails With Python

November 25, 2019
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This article contains affiliate links. For more, please read the T&Cs. Despite the mass investment by third parties to provide […]

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An API Based ETL Pipeline With Python – Part 2

October 28, 2019
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A Slimmed Down ETL In this post, we provide a much simpler approach to running a very basic ETL. We […]

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Pandas, Python

The Growth of the Pandas Library

September 28, 2019
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As data analytics, data science, and data engineering have exploded in popularity and growth as concepts, they’ve had some support […]

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