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Data Wrangling with Python

gwizamaryse/Data-Wrangling-with-Python

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README.md

Data Wrangling With Python

#WeRateDogs Datasets data wrangling and Analysis

Data Wrangling with Python.

A pdf and html version of the Analysis are available.
If you want to run the codes, you need to install the following libraries. I would recommend using pip to do so:

• Jupyter notebook
• Pandas
• Numpy
• Matplotlib
• Seaborn
• Request
• Tweepy
• json

• wrangle_act.ipynb. this jupyper notebook file hold all the codes and steps taken in the data wrangling and analysis.
• wrangle_report.pdf : in this document, all the steps taken in the data wrangling process are explained in details.
• act_report contains the insights from the analyis.
• twitter-archive-enhanced.csv
• All the other files will be generated while making the analysis.

Источник

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

This hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively and learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Expand

459 Citations

Hatchet: pruning the overgrowth in parallel profiles

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Python in Data Science Research and Education

It is demonstrated how Python can be used throughout the entire life cycle of a graduate program in Data Science, starting from introductory classes and culminating in degree capstone research projects using more advanced ideas such as convex optimization, non-linear dimension reduction, and compressed sensing. Expand

FACILITATING API LOOKUP FOR NOVICES LEARNING DATA WRANGLING USING THUMBNAIL GRAPHICS

This paper discusses the centrality of API (application programming interface) lookup to data wrangling, and how an ontology-structured command menu could facilitate it, and designs thumbnail graphics as visual alternatives to explaining data wrangle operations and uses a survey to validate their quality. Expand

Pipit: Enabling programmatic analysis of parallel execution traces

This paper has developed a Python library, Pipit, on top of pandas that can read traces in different file formats and provide a uniform data structure in the form of a pandas DataFrame and provides several functions to quickly identify performance issues in parallel executions. Expand

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter

The proposed approach is based on the lightweight library pybind11, where OpenFOAM data is transferred to an embedded Python interpreter for manipulation, and results are returned as needed. Expand

Источник

Data Wrangling Using Python

Digging into data does not have to be painful. With this book, you’ll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don’;t have to be a programmer to tell them. What you need is to understand the context of the data and to know a few of the techniques found in this book. You’ll learn enough Python to be empowered to engage with your data, through a series of examples that grow in complexity throughout the book.

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