Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Where do I start?
- QL is a declarative programming language.
- With SQL, you declare what you want in a sentence that almost reads like English.
- Pandas’ syntax is quite different from SQL. In Pandas, you apply operations on the dataset, and chain them, in order to transform and reshape the data the way you want it.
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What is Pandas?
Python Data Analysis Library, called Pandas, is a Python library built for data analysis and manipulation. It’s open-source and supported by Anaconda. It is particularly well suited for structured (tabular) data.
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The anatomy of a SQL query
A SQL query consists of a few important keywords. Between those keywords, you add the specifics of what data, exactly, you want to see. Here is a skeleton query without the specifics:
SELECT… FROM… WHERE…
GROUP BY… HAVING…
ORDER BY…
LIMIT… OFFSET…
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SQL
SQL was a go-to tool when you needed to get a quick-and-dirty look at some data, and draw preliminary conclusions that might, eventually, lead to a report or an application being written. This is called exploratory analysis.
These days, data comes in many shapes and forms, ...
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Python data processing with pandas
Pandas is a Python language package, which is used for data processing. This is a very common basic programming library when we use Python language for machine learning programming. This article is an introductory tutorial to it. Pandas provide fast, flexible and expressive data structures with t...
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