Difference between revisions of "Python"
(Created page with "==Overview== Python is a flexible and powerful programming language increasingly used in development research for data cleaning, analysis, visualization, and reproducible workflows. While Stata and R are commonly used in DIME, Python is ideal for data pipelines, API access, automation, and integrating with machine learning and natural language processing tools. ==Related DIME Analytics Trainings== *[https://osf.io/8sgrh/files/osfstorage/5fd2f84c0694b7013af371fd/ Intro...") |
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Python is a flexible and powerful programming language increasingly used in development research for data cleaning, analysis, visualization, and reproducible workflows. While Stata and R are commonly used in DIME, Python is ideal for data pipelines, API access, automation, and integrating with machine learning and natural language processing tools. | Python is a flexible and powerful programming language increasingly used in development research for data cleaning, analysis, visualization, and reproducible workflows. While Stata and R are commonly used in DIME, Python is ideal for data pipelines, API access, automation, and integrating with machine learning and natural language processing tools. | ||
==Installation== | |||
First, you can check if Python is already installed on your computer. To do this open your terminal (Command Prompt or Terminal) and type: | |||
<code>python --version</code> | |||
or | |||
<code>python3 --version</code> | |||
Otherwise you can install python using this [https://wiki.python.org/moin/BeginnersGuide/Download/ beginners guide]. | |||
==Related DIME Analytics Trainings== | ==Related DIME Analytics Trainings== |
Revision as of 12:15, 2 June 2025
Overview
Python is a flexible and powerful programming language increasingly used in development research for data cleaning, analysis, visualization, and reproducible workflows. While Stata and R are commonly used in DIME, Python is ideal for data pipelines, API access, automation, and integrating with machine learning and natural language processing tools.
Installation
First, you can check if Python is already installed on your computer. To do this open your terminal (Command Prompt or Terminal) and type:
python --version
or
python3 --version
Otherwise you can install python using this beginners guide.