For data analysis in Python PANDAS is the package of choice.
In the realm of data analysis the language R, developed by statisticians, is a long-time contender. R still is really popular, but has serious competition from Python.
One of the neatest notions that R came up with is the DataFrame, which is a representation of a database table or spreadsheet including schema information. Before DataFrames existed, data sets mostly had to be disassembled and stored in separate arrays. The idea is simple: just store the data set together with its schema.
Python lacked this DataFrame functionality until the PANDAS package was created. PANDAS heavily influenced by the base R data frame, was developed and released by Wes McKinney around 2010. It has extremely powerful methods to input/output and manipulate data.
- Getting started with Data Analysis.
Onderstaande voorkennis is vereist:
De programmeertaal Python – voor ervaren programmeurs of vergelijkbare kennis.
Basic Python knowledge
- Pandas background
- Series objects
- DataFrame objects
- Reading / writing DataFrames
- Getting information about a DataFrame
- Indexing / Slicing
- Applying Functions to Cells, Columns and Rows
- Time-related data
- * This course event is guaranteed to run.
- *A course with falls under the Summer Academy action.
Cursus: Python for data analysis - introduction to PANDAS (English course)
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