The hottest Tech Education Substack posts right now

Discord faced performance issues with Cassandra, requiring increasing maintenance effort and leading to unpredictable latency.
Hot partitions were a problem in Cassandra, causing hotspotting and impacting the database's performance during concurrent reads.
Garbage collection in Cassandra posed challenges, leading Discord to switch to ScyllaDB which does not have a garbage collector.

The Must Learn AI Security series is now available on Amazon in Kindle, paperback, and hardcover editions.
Proceeds from the Amazon versions go to St. Jude's Children's Research Hospital.
The series aims to build awareness on the importance of AI security to prevent potential risks.

Understanding the Bias-Variance Tradeoff is crucial in Data Science and Machine Learning.
Bias in a Machine Learning Model refers to prediction errors, while Variance accounts for the spread in predictions.
High Bias can lead to underfitting, where the model doesn't grasp the data pattern fully, while High Variance can result in overfitting, where the model learns noise in the data.

In graph traversal, reducing memory usage by marking spots as visited instead of using a set can optimize your code and help you move from O(n) space complexity to O(1) complexity.
This technique is straightforward to implement, takes no extra space, and can be a significant improvement in graph traversal algorithms.
When implementing this technique, be cautious about the value used to mark visited cells and always confirm with your interviewer about input data type to avoid conflicts.

Baby CTO offers a holistic view of technology by combining cultural experiences and technical skills from different countries.
Lessons from entrepreneurial ventures and tech agency work provide valuable insights into the world of startups and technology.
Baby CTO aims to engage readers in in-depth discussions about various aspects of technology, from granular coding details to broad strategic reviews.

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The course on Software Stacks in Climate Tech from Terra.do can be beneficial for software engineers interested in climate change
The course content included topics like public data sources, energy modeling, and hardware/software interfaces
The course assignments were challenging, appealing to a wide range of technical backgrounds, and encouraged participants to push themselves to learn and grow

Future coders will need to embrace mathematics and data analysis for problem-solving.
Quantum computing requires a solid mathematical background for significant contributions to quantum algorithms.
Efforts are being made to train engineers in mathematics to create new quantum software companies and challenge the current academic dominance in the quantum startup ecosystem.