Welcome to the "Advance Python" repository, your go-to resource for harnessing the power of Python for advanced data analysis, visualization, and geographical insights. This project leverages popular libraries such as NumPy, Pandas, Plotly Express, Seaborn, Matplotlib.pyplot, Geopandas, and Basemap to empower users in exploring and understanding complex datasets.
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Data Analysis: Utilize the robust capabilities of NumPy and Pandas to efficiently manipulate and analyze datasets, gaining valuable insights into your data.
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Visualization: Create stunning visualizations with Plotly Express, Seaborn, and Matplotlib.pyplot, turning data into informative and compelling charts, graphs, and plots.
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Geographical Analysis: Dive into geographical data using Geopandas and Basemap, unlocking the potential to visualize and analyze spatial patterns and trends.
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API Integration: Seamlessly interact with external APIs using Task to enhance your data analysis pipeline and incorporate real-time data into your projects.
- NumPy: Powerful numerical computing library for efficient data manipulation.
- Pandas: Data analysis library providing high-performance, easy-to-use data structures.
- Plotly Express: A high-level interface for creating expressive and interactive visualizations.
- Seaborn: Statistical data visualization library based on Matplotlib, enhancing aesthetics and readability.
- Matplotlib.pyplot: A versatile plotting library for creating static, animated, and interactive visualizations.
- Geopandas: Extends Pandas to enable spatial operations and mapping.
- Basemap: Toolkit for plotting 2D data on maps in Python.
- Check out the example notebooks to see how to perform various data analysis, visualization, and geographical tasks using the provided libraries.
- Customize and extend the code to suit your specific project requirements.
- Collaborate with the community to enhance and optimize the functionality of the repository.
- Lab0 - 2D plots
- Lab1 - MortalityDataset - Visulization using 2D an 3D Plots
Feel free to contribute, report issues, and share your insights. Let's advance Python together!