In this continuation of our three-part series, we delve into the risks associated with using mutable data structures as default parameters in Python functions. Gain insights into which data structures are mutable and immutable in Python and explore practical examples to ensure your code remains bug-free
In this edition of Data Hack Tuesday, we explore the common pitfalls associated with mutable data structures in Python. Dive into the concepts of reference, shallow copy, and deep copy, and how they impact your code when dealing with both immutable and mutable data.
In this week’s Data Hack Tuesday, we tackle the common challenge of mixed data types within columns in data tables. Explore three indispensable techniques for cleaning such data: inferring data types accurately, converting strings of numbers, and selecting rows by data types. Ensure your data is clean and ready for analysis.
In this episode of Data Simplified, we sit down with Dr. Troy Hernandez, a distinguished expert in the field with a PhD in Statistics and a Solution Engineer at IBM. Explore the exciting realms of GitOps and Jamstack and gain valuable insights into modern development practices and data management. Tune in for an enlightening conversation that’s sure to simplify your understanding of these cutting-edge technologies
In Python, the choice between using lists and sets as data structures often depends on the specific task at hand. Lists are ideal for looping operations, while sets shine when you need to quickly determine if an item exists within a data structure. Dive into this article to understand the performance trade-offs and decide which data structure suits your needs
In this thought-provoking episode, we sit down with Mark Schwartz, the Enterprise Strategist for AWS and author of ‘The (Delicate) Art of Bureaucracy.’ Mark shares unique perspectives on how every technologist can learn valuable lessons from monkeys and sumo wrestlers, metaphorically, to harness the power of bureaucracy in the digital age. Don’t miss this fascinating conversation that will reshape your understanding of IT and bureaucracy
In this episode, we delve into the world of high-performance data analytics with Professor David A. Bader, a distinguished expert in the field. Professor Bader shares his insights and expertise on data analytics, computational science, and much more. Don’t miss this enlightening conversation that’s sure to inspire your understanding of data analytics and its potential.
In this week’s episode, we have the pleasure of sitting down with Scott Taylor, the author of ‘Telling Your Data Story.’ Scott provides invaluable insights into the world of data storytelling and how it can transform the way data is communicated. Learn how to captivate both technologists and executive leadership with your data narrative.
In this episode, we dive into the world of ethical computation and design with Dr. Sonja Petrović, an advocate for equitable approaches in technology. Dr. Petrović sheds light on the innovative SoReMo initiative, which aims to foster ethical practices in computation, modeling, and design. Discover how this initiative is making a positive impact on society through research and education at the Illinois Institute of Technology
In this installment of Data Science Simplified, we embark on a journey to predict the winter grocery shopping habits of friends and unravel the intricacies of causal vs. descriptive analysis. Tune in for valuable insights that will elevate your data science knowledge