Got questions about Mathematica? The Wolfram Blog has answers! We'll regularly answer selected questions from users around the web. You can submit your question directly to the Q&A Team using this form. This week's question comes from Bashir, a student: What are the different functions for computing derivatives in Mathematica? The main function for computing derivatives in Mathematica is D, which computes the familiar partial derivative of an expression with respect to a variable: D supports generalizations including multiple derivatives and derivatives with respect to multiple variables, such as differentiating twice with respect to x, then once with respect to y: And vector and tensor derivatives, such as the gradient:

Got questions about Mathematica? The Wolfram Blog has answers! We'll regularly answer selected questions from users around the web. You can submit your question directly to the Q&A Team using this form. This week's question comes from Craig, a hobbyist: For each six-digit number in a list, how can I check whether the sums of the first and last three digits are equal? For example, the sums of the first and last three digits of the number 123,222 are equal because 1 + 2 + 3 == 2 + 2 + 2. There are several different ways of solving this straightforward programming problem in Mathematica, and it's instructive to compare them. In this post you'll see four methods demonstrating various combinations of built-in Mathematica functions for working with lists and digits of integers.

Got questions about Mathematica? The Wolfram Blog has answers! We'll regularly answer selected questions from users around the web. You can submit your question directly to the Q&A Team using this form. This week's question comes from Patrick, a student: How can I use Sow & Reap across parallel kernels? Before we answer this question, a review of the useful functions Sow and Reap is in order. Sow and Reap are used together to build up a list of results during a computation. Sow[expr] puts expr aside to be collected later. Reap collects these and returns a list: The first part of the list is the regular result of the computation. The second part is everything that was “sown”. Sow and Reap are ideally suited to situations in which you don't know in advance how many results you will get. For example, suppose that you want to find simple initial conditions that lead to "interesting" results in Conway's game of life, the famous two-dimensional cellular automaton: