Python workshop on NumPy, Matplotlib and Pandas
On 23rd December 2025, the IEEE Computational Intelligence Society (CIS) Student Branch organized a hands-on workshop on Introduction to NumPy, Pandas, and Matplotlib, aimed at providing students with a foundational understanding of Python-based data analysis and visualization. The session began with an overview of Python’s data ecosystem and the real-world relevance of NumPy, Pandas, and Matplotlib. Participants were guided through setting up their development environment using Jupyter Notebook, Google Colab, and Visual Studio Code (VS Code), and were introduced to importing libraries and referring to official documentation.
The workshop then focused on NumPy for numerical computation, where participants learned to create and manipulate 1D and 2D arrays, generate special arrays, and perform core operations such as reshaping, indexing, slicing, broadcasting, and basic statistical calculations. This was followed by an introduction to Pandas, covering Series and DataFrames, data creation from multiple sources, reading external datasets, and performing initial data exploration.
Further sessions emphasized data cleaning, manipulation, and aggregation, including handling missing values, filtering and transforming data, grouping and summarizing datasets, and integrating multiple datasets using practical examples. The workshop concluded with data visualization using Matplotlib and Pandas, where participants created and customized various plots to effectively represent data insights.
Overall, the workshop successfully provided practical exposure to essential Python data libraries and tools, strengthening participants’ understanding of data analysis workflows and encouraging further exploration in data-driven applications.
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- 12th Main Road
- 27th Cross,Banashankari 2nd stage
- Bangalore, Karnataka
- India 560070
- Building: N-Block
- Room Number: N401