Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/inessarepeshko/python-data-processing
Acquiring theoretical and practical knowledge of effective work with data using the Python programming language, understanding of methods of data processing, analysis and visualization, as well as the use of data to make informed decisions in software development.
https://github.com/inessarepeshko/python-data-processing
data-processing jupyter-notebook python
Last synced: 19 days ago
JSON representation
Acquiring theoretical and practical knowledge of effective work with data using the Python programming language, understanding of methods of data processing, analysis and visualization, as well as the use of data to make informed decisions in software development.
- Host: GitHub
- URL: https://github.com/inessarepeshko/python-data-processing
- Owner: InessaRepeshko
- License: mit
- Created: 2024-09-05T16:40:51.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-28T19:45:38.000Z (about 2 months ago)
- Last Synced: 2024-10-10T17:21:27.878Z (about 1 month ago)
- Topics: data-processing, jupyter-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 5.82 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
Awesome Lists containing this project
README
# Python data processing
The repository contains the results of the Laboratory Classes for the course "Python data processing" (2024) during
studies at National Technical University "Kharkiv Polytechnic Institute".The objective of the discipline is to acquire the knowledge, skills and abilities necessary for collecting,
pre-processing, analyzing, visualizing, validating and cleaning data of various formats and types, working with APIs
using built-in and third-party libraries of the Python programming language, as well as using data to make informed
decisions.## Topics of the laboratory classes
0. Working in the Jupyter Notebook environment for data processing and visualization.
1. Working with data using Pandas tools.
2. Combining and processing data from different sources.
3. Processing text data with Pandas tools.
4. Processing of digital images.
5. Creating a web application for collecting and storing data using third-party APIs.© Inessa Repeshko. 2024