Polars: A Powerful Alternative To Pandas

Pandas has long been the go-to library for data manipulation and analysis in Python, but Polars has emerged as a powerful alternative.

In this session we will discuss the strengths and weaknesses of both libraries, providing a detailed comparative analysis. We'll explore key aspects such as performance, ease of use, scalability, and functionality. Additionally, we'll provide practical examples and case studies to highlight scenarios where each library excels.

Schedule:
⏰ 19:00 - 19:15 Intro to Women Coding Community
⏰ 19:15 - 19:45: Talk by Lasha Dolenjashvili
⏰ 19:45 - 20:00: Q&A

Speaker: Lasha Dolenjashvili | LinkedIn
Lasha is a Data Solutions Architect with a passion for physical sciences and transforming business requirements into reliable and scalable systems.

Over the past 10 years, Lasha has developed skills in Data Engineering, Data Modeling, Business Analysis, Data Visualization, and Data Science. Currently, He leverages this knowledge and experience to build solutions for the Data Interoperability Squad at the Bank of Georgia, which focuses on system-to-system integration and collaboration with external data providers.
Beyond his professional career, Lasha is dedicated to mentoring data professionals and guiding them along their career paths. He enjoys sharing knowledge and insights on various data and science-related topics.
Additionally, Lasha runs a Substack blog called SA Space, where he shares insights and learnings about data, system design, programming, and business analysis.

Host: Ekaterine Oshkhereli | LinkedIn
With over a decade of expertise, Ekaterine has worked as both a financial manager and project manager. Five years ago, she transitioned her career toward technology. Here, she sharpened her skills in data analysis and machine learning, contributing to research organizations, universities, and financial institutions. Presently, she works as a data analyst, at a Credo Bank, Georgia.

Co-Host: Silke Nodwell | LinkedIn
Silke holds an MSci Mathematics, First Class Honours, from Imperial College London. She currently works as a data scientist at TAC Index, where she manages the data quality of 15+ client companies and develops internal quality tools. In addition to her data scientist role, Silke is a Lead at Women Coding Community, where she runs the bookclub, contributes to the technical blog, and organises inspirational talks.

👩🏽‍💻 About Women Coding Community
Empowering women in their tech careers through education, mentorship, community building, and career services is our mission. We provide workshops and events, connect members with industry mentors, foster a supportive community through meetups and conferences, and raise awareness for more inclusive industry practices.
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👩🏽‍💻 Code of Conduct
At Women Coding Community we are committed to a vibrant, supportive community. When attending our events, all members should follow our Code of Conduct. The full version you can find following the link:
https://womencodingcommunity.com/code-of-conduct