Software Engineering
- Requirements (or constraints) : What does success look like? What can we not do?
- Methodology : How will we use data and code to achieve success?
- Implementation : What infrastructure is needed in production?
Real-time Machine Learning For Recommendations
Before you start working, figure out:
After you’ve finished your work, check:
4. Did I miss anything?
- What does the business want?
- Which criteria should I fulfill to call my work “good”?
- What do I need to do to complete this particular task?
After you’ve finished your work, check:
4. Did I miss anything?
It’s time to upgrade from “hard-working” to “highly efficient”
1. Streamlining data exploration and analysis:
- Context-Aware Suggestions: Receive AI-powered suggestions for relevant tools, functions, and libraries based on your specific dataset and analysis goals.
- Contextual search for functions and libraries: Quickly find relevant functions and libraries from various programming languages, such as Python and R,
Martha J. Lindeman • How Data Science AI Tools are Simplifying Workflows
A thread pool is a collection of pre-initialized threads that can be used to execute tasks. Instead of starting a new thread for each task (which can be resource-intensive), a thread from this pool is reused to perform the task. This approach is beneficial for handling multiple operations in parallel, especially when these operations are blocking... See more
Saverio Mazza • FastAPI: Thread Pool and Event Loop
Your job involves turning the unknown into the known and translating vague ideas into actionable plans. This often involves a blend of:
- Detective work — ask the right questions, collect evidence, build a case theory, validate it
- Isolating uncertainty to the smallest components and proving / disproving theories
- Divide and conquer — breaking down the
3 Critical Skills You Need to Grow Beyond Senior Levels in Engineering
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The book Clean Code introduces three laws of TDD [1]:
So, the tests are written before the production code. This leads to the developer... See more
- Write a failing unit test first before you start writing production code.
- Write not more of a unit test than is sufficient to fail.
- Write not more production code than is sufficient to pass the currently failing test.
So, the tests are written before the production code. This leads to the developer... See more
How to Write Clean Code in Python
Use nested objects for future extensibility
A follow on from the previous tip: try to logically group fields together. The following:
customer.address = {
line1: "Main Street 123",
city: "San Francisco",
postal_code: "12345"
};
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is much cleaner than:
customer.address_line1 = "Main street 123";
customer.address_city... See more
A follow on from the previous tip: try to logically group fields together. The following:
customer.address = {
line1: "Main Street 123",
city: "San Francisco",
postal_code: "12345"
};
Enter fullscreen mode
Exit fullscreen mode
is much cleaner than:
customer.address_line1 = "Main street 123";
customer.address_city... See more
Common Design Patterns at Stripe
- Tornado is a Python web framework and asynchronous networking library designed for handling long-lived network connections. It is built to be non-blocking and uses an event loop to manage all operations. While Tornado itself does not rely on a thread pool for its core operations, it provides interfaces for integrating with thread pools (e.g.,