Code Exercise Software Software Engineering 
The Netflix TechBlog
FEBRUARY 1, 2022
By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists. This is a conversation, not an inquisition!
Tasktop
OCTOBER 8, 2020
Armaan Bajwa, Software Engineer 2 : I enjoyed the whole conference, my favorite parts being: Author James Clear’s session about Atomic Habits on how to make tiny changes to your habits. Reshma Saujani, founder of Girls Who Code , spoke about choosing bravery over perfectionism. Every single sentence was relatable. Subscribe now.
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SQL Server According to Bob
JUNE 27, 2016
We developed a friendly competition to break one another’s code. We are a bit wiser (you could take that as older) now and we don’t wait until 5 o’clock but we still try everything we can think of to exercise the code. I quickly got a MacBook and started coding on OS X as well as my Linux VMs, reading articles and books.
The Morning Paper
APRIL 16, 2019
Consider the lab exercise to implement Paxos. Luckily, code that is readily model checkable usually corresponds to the kind of code we want students to write — code that is as simple as possible with respect to its state graph. It’s hard to exhaustively test a distributed system with traditional testing techniques.
The Netflix TechBlog
DECEMBER 3, 2019
mainly because of mundane reasons related to software engineering. A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like
O'Reilly
OCTOBER 19, 2021
This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.
The Netflix TechBlog
DECEMBER 3, 2019
mainly because of mundane reasons related to software engineering. A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like
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