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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore mathematical optimization using Pyomo to solve complex seating arrangements, with applications in various fields. Learn to formulate, input data, and solve problems using open-source tools.
Explore modern Python web framework development, examining tools and libraries available in 2021 to create a framework suited for today's API and websocket-focused web landscape.
Explore how technology can be leveraged for social good, featuring insights from organizations driving positive change through coding education and diversity initiatives in tech.
Explore functional programming principles to build scalable, reproducible, and maintainable data pipelines in Python. Learn key concepts, design patterns, and practical applications for data-intensive projects.
Explore computational complexity with 7-year-old programmer Kautilya Katariya. Learn time complexity, Big-O notation, and algorithm analysis through searching and sorting examples. Gain insights from the youngest Guinness World Record holder.
Explore challenges and insights from uniting diverse academic fields for the Helmholtz Analytics Framework, focusing on HPC, Scientific Big Data, co-design, and Python integration.
Explore Python's evolution, current state, and future prospects from a business perspective, focusing on enterprise applications and potential language improvements.
Explore ycecream for enhanced Python debugging and benchmarking, featuring simplified variable printing, location tracking, and advanced timing functionalities.
Explore parser evolution from LL(1) to PEG, covering compiler fundamentals, traditional techniques, and CPython's implementation. Gain insights into parsing concepts and their practical applications.
Explore electrocardiography, from heart basics to building an ECG with Arduino. Learn data analysis and machine learning techniques for heart data interpretation.
Introduction to detecting and protecting against machine learning model drift, covering statistical methods, offline and online detection strategies, and practical implementation using alibi-detect library.
Learn to develop a cyber forensic application using Python, covering digital crime investigation, evidence collection, and key modules for forensic tasks. Gain hands-on experience through code walkthroughs and practical demonstrations.
Transforming industrial telemetry data into CSV format using Python, Spark, and Azure Databricks for analytics and AI model retraining in the context of Industry 4.0.
Learn to create stunning, multilingual documentation and websites using MkDocs and Github Pages. Discover new features, localization support, and best practices for building feature-rich content.
Explore SQLAlchemy's new asyncio support, including AsyncEngine setup, avoiding pitfalls, and using synchronous functions in async contexts. Ideal for developers with ORM and asyncio experience.
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