https://github.com/datejada/intro2python
Basic course of data analysis (and a little bit more) using Python
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary
Last synced: 6 months ago
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Repository
Basic course of data analysis (and a little bit more) using Python
Basic Info
- Host: GitHub
- Owner: datejada
- License: gpl-3.0
- Language: HTML
- Default Branch: main
- Size: 3.95 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 6 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
README.md
Introduction to Python (and a little bit more)
Hey there! This is a repository that I created to help you start learning Python and data analysis. It's filled with useful information that I'm sure you'll find helpful. Each file has a brief description of its main topic, so you can easily find what you're looking for. Let me know if you have any questions or need any help!
- 01-Intro2Python-bases.ipynb: Introduction to Python basics.
- 02-Intro2Python-pandas.ipynb: Introduction to using pandas library in Python.
- 03-Intro2Python-viz: Introduction to data visualization in Python.
- 04-Intro2Python-bucles.ipynb: Introduction to loops in Python.
- 05-Intro2Python-ExtraMaterial1.ipynb: Time series analysis using pandas.
- 06-Intro2Python-ExtraMaterial2.ipynb: Merge function in pandas.
- 07-Intro2Python-ExtraMaterial3.ipynb: More advanced visualizations.
Owner
- Name: Diego Alejandro Tejada Arango
- Login: datejada
- Kind: user
- Location: Amsterdam
- Company: TNO
- Repositories: 1
- Profile: https://github.com/datejada
Dependencies
requirements.txt
pypi
- Jinja2 ==3.1.2
- MarkupSafe ==2.1.3
- Pillow ==10.1.0
- Pygments ==2.17.2
- asttokens ==2.4.1
- attrs ==23.1.0
- certifi ==2023.11.17
- charset-normalizer ==3.3.2
- colorama ==0.4.6
- comm ==0.2.0
- contourpy ==1.2.0
- cycler ==0.12.1
- debugpy ==1.8.0
- decorator ==5.1.1
- et-xmlfile ==1.1.0
- executing ==2.0.1
- fastjsonschema ==2.19.0
- fonttools ==4.46.0
- idna ==3.6
- ipykernel ==6.27.1
- ipython ==8.18.1
- jedi ==0.19.1
- jsonschema ==4.20.0
- jsonschema-specifications ==2023.11.2
- jupyter_client ==8.6.0
- jupyter_core ==5.5.0
- kaleido ==0.2.1
- kiwisolver ==1.4.5
- matplotlib ==3.8.2
- matplotlib-inline ==0.1.6
- nbformat ==5.9.2
- nest-asyncio ==1.5.8
- numpy ==1.26.2
- openpyxl ==3.1.2
- packaging ==23.2
- pandas ==2.1.4
- parso ==0.8.3
- platformdirs ==4.1.0
- plotly ==5.18.0
- prompt-toolkit ==3.0.43
- psutil ==5.9.7
- pure-eval ==0.2.2
- pyparsing ==3.1.1
- python-dateutil ==2.8.2
- pytz ==2023.3.post1
- pywin32 ==306
- pyzmq ==25.1.2
- referencing ==0.32.0
- requests ==2.31.0
- rpds-py ==0.15.2
- scipy ==1.11.4
- seaborn ==0.13.0
- six ==1.16.0
- stack-data ==0.6.3
- tenacity ==8.2.3
- tornado ==6.4
- traitlets ==5.14.0
- tzdata ==2023.3
- urllib3 ==2.1.0
- wcwidth ==0.2.12