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pandas-series

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Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

  • Updated Dec 9, 2022
  • Jupyter Notebook

A comprehensive guide to common commands and techniques in Pandas, the powerful data analysis and manipulation library in Python. This cheat sheet provides quick access to essential Pandas functions.

  • Updated Aug 30, 2024

PP3: Python Essentials: a CLI/TUI application to allow users to manage the dataset of the Project P3 Criteria: Load a Table, Find a Record and Modify Notes and ToDo Status, and update a Definition of Done. This is a first-time, starter python project, as a Neurodiverse software engineer and creative..

  • Updated Jul 14, 2023
  • Python

This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.

  • Updated Aug 27, 2024
  • Jupyter Notebook
TimeSeriesForecasting_CarbonEmissions

Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.

  • Updated Dec 23, 2023
  • Jupyter Notebook

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