Task: Element-wise operations
C++: #include <cassert>
#include <cmath>
#include <iostream>
#include <valarray>

template <typename scalar_type> class matrix {
public:
    matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns) {
        elements_.resize(rows * columns);
    }
    matrix(size_t rows, size_t columns, scalar_type value)
        : rows_(rows), columns_(columns), elements_(value, rows * columns) {}

    size_t rows() const { return rows_; }
    size_t columns() const { return columns_; }

    const scalar_type& at(size_t row, size_t column) const {
        assert(row < rows_);
        assert(column < columns_);
        return elements_[index(row, column)];
    }
    scalar_type& at(size_t row, size_t column) {
        assert(row < rows_);
        assert(column < columns_);
        return elements_[index(row, column)];
    }

    matrix& operator+=(scalar_type e) {
        elements_ += e;
        return *this;
    }
    matrix& operator-=(scalar_type e) {
        elements_ -= e;
        return *this;
    }
    matrix& operator*=(scalar_type e) {
        elements_ *= e;
        return *this;
    }
    matrix& operator/=(scalar_type e) {
        elements_ /= e;
        return *this;
    }

    matrix& operator+=(const matrix& other) {
        assert(rows_ == other.rows_);
        assert(columns_ == other.columns_);
        elements_ += other.elements_;
        return *this;
    }
    matrix& operator-=(const matrix& other) {
        assert(rows_ == other.rows_);
        assert(columns_ == other.columns_);
        elements_ -= other.elements_;
        return *this;
    }
    matrix& operator*=(const matrix& other) {
        assert(rows_ == other.rows_);
        assert(columns_ == other.columns_);
        elements_ *= other.elements_;
        return *this;
    }
    matrix& operator/=(const matrix& other) {
        assert(rows_ == other.rows_);
        assert(columns_ == other.columns_);
        elements_ /= other.elements_;
        return *this;
    }

    matrix& negate() {
        for (scalar_type& element : elements_)
            element = -element;
        return *this;
    }
    matrix& invert() {
        for (scalar_type& element : elements_)
            element = 1 / element;
        return *this;
    }

    friend matrix pow(const matrix& a, scalar_type b) {
        return matrix(a.rows_, a.columns_, std::pow(a.elements_, b));
    }
    friend matrix pow(const matrix& a, const matrix& b) {
        assert(a.rows_ == b.rows_);
        assert(a.columns_ == b.columns_);
        return matrix(a.rows_, a.columns_, std::pow(a.elements_, b.elements_));
    }
private:
    matrix(size_t rows, size_t columns, std::valarray<scalar_type>&& values)
        : rows_(rows), columns_(columns), elements_(std::move(values)) {}

    size_t index(size_t row, size_t column) const {
        return row * columns_ + column;
    }
    size_t rows_;
    size_t columns_;
    std::valarray<scalar_type> elements_;
};

template <typename scalar_type>
matrix<scalar_type> operator+(const matrix<scalar_type>& a, scalar_type b) {
    matrix<scalar_type> c(a);
    c += b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator-(const matrix<scalar_type>& a, scalar_type b) {
    matrix<scalar_type> c(a);
    c -= b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator*(const matrix<scalar_type>& a, scalar_type b) {
    matrix<scalar_type> c(a);
    c *= b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator/(const matrix<scalar_type>& a, scalar_type b) {
    matrix<scalar_type> c(a);
    c /= b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator+(scalar_type a, const matrix<scalar_type>& b) {
    matrix<scalar_type> c(b);
    c += a;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator-(scalar_type a, const matrix<scalar_type>& b) {
    matrix<scalar_type> c(b);
    c.negate() += a;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator*(scalar_type a, const matrix<scalar_type>& b) {
    matrix<scalar_type> c(b);
    c *= a;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator/(scalar_type a, const matrix<scalar_type>& b) {
    matrix<scalar_type> c(b);
    c.invert() *= a;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator+(const matrix<scalar_type>& a,
                              const matrix<scalar_type>& b) {
    matrix<scalar_type> c(a);
    c += b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator-(const matrix<scalar_type>& a,
                              const matrix<scalar_type>& b) {
    matrix<scalar_type> c(a);
    c -= b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator*(const matrix<scalar_type>& a,
                              const matrix<scalar_type>& b) {
    matrix<scalar_type> c(a);
    c *= b;
    return c;
}

template <typename scalar_type>
matrix<scalar_type> operator/(const matrix<scalar_type>& a,
                              const matrix<scalar_type>& b) {
    matrix<scalar_type> c(a);
    c /= b;
    return c;
}

template <typename scalar_type>
void print(std::ostream& out, const matrix<scalar_type>& matrix) {
    out << '[';
    size_t rows = matrix.rows(), columns = matrix.columns();
    for (size_t row = 0; row < rows; ++row) {
        if (row > 0)
            out << ", ";
        out << '[';
        for (size_t column = 0; column < columns; ++column) {
            if (column > 0)
                out << ", ";
            out << matrix.at(row, column);
        }
        out << ']';
    }
    out << "]\n";
}

void test_matrix_matrix() {
    const size_t rows = 3, columns = 2;
    matrix<double> a(rows, columns);
    for (size_t i = 0; i < rows; ++i) {
        for (size_t j = 0; j < columns; ++j)
            a.at(i, j) = double(columns * i + j + 1);
    }
    matrix<double> b(a);

    std::cout << "a + b:\n";
    print(std::cout, a + b);

    std::cout << "\na - b:\n";
    print(std::cout, a - b);

    std::cout << "\na * b:\n";
    print(std::cout, a * b);

    std::cout << "\na / b:\n";
    print(std::cout, a / b);

    std::cout << "\npow(a, b):\n";
    print(std::cout, pow(a, b));
}

void test_matrix_scalar() {
    const size_t rows = 3, columns = 4;
    matrix<double> a(rows, columns);
    for (size_t i = 0; i < rows; ++i) {
        for (size_t j = 0; j < columns; ++j)
            a.at(i, j) = double(columns * i + j + 1);
    }

    std::cout << "a + 10:\n";
    print(std::cout, a + 10.0);

    std::cout << "\na - 10:\n";
    print(std::cout, a - 10.0);

    std::cout << "\n10 - a:\n";
    print(std::cout, 10.0 - a);

    std::cout << "\na * 10:\n";
    print(std::cout, a * 10.0);

    std::cout << "\na / 10:\n";
    print(std::cout, a / 10.0);

    std::cout << "\npow(a, 0.5):\n";
    print(std::cout, pow(a, 0.5));
}

int main() {
    test_matrix_matrix();
    std::cout << '\n';
    test_matrix_scalar();
    return 0;
}

Python: >>> import random
>>> from operator import add, sub, mul, floordiv
>>> from pprint import pprint as pp
>>> 
>>> def ewise(matrix1, matrix2, op):
	return [[op(e1,e2) for e1,e2 in zip(row1, row2)] for row1,row2 in zip(matrix1, matrix2)]

>>> m,n = 3,4 	
>>> a0 = [[random.randint(1,9) for y in range(n)] for x in range(m)]
>>> a1 = [[random.randint(1,9) for y in range(n)] for x in range(m)]
>>> pp(a0); pp(a1)
[[7, 8, 7, 4], [4, 9, 4, 1], [2, 3, 6, 4]]
[[4, 5, 1, 6], [6, 8, 3, 4], [2, 2, 6, 3]]
>>> pp(ewise(a0, a1, add))
[[11, 13, 8, 10], [10, 17, 7, 5], [4, 5, 12, 7]]
>>> pp(ewise(a0, a1, sub))
[[3, 3, 6, -2], [-2, 1, 1, -3], [0, 1, 0, 1]]
>>> pp(ewise(a0, a1, mul))
[[28, 40, 7, 24], [24, 72, 12, 4], [4, 6, 36, 12]]
>>> pp(ewise(a0, a1, floordiv))
[[1, 1, 7, 0], [0, 1, 1, 0], [1, 1, 1, 1]]
>>> pp(ewise(a0, a1, pow))
[[2401, 32768, 7, 4096], [4096, 43046721, 64, 1], [4, 9, 46656, 64]]
>>> pp(ewise(a0, a1, lambda x, y:2*x - y))
[[10, 11, 13, 2], [2, 10, 5, -2], [2, 4, 6, 5]]
>>> 
>>> def s_ewise(scalar1, matrix1, op):
	return [[op(scalar1, e1) for e1 in row1] for row1 in matrix1]

>>> scalar = 10
>>> a0
[[7, 8, 7, 4], [4, 9, 4, 1], [2, 3, 6, 4]]
>>> for op in ( add, sub, mul, floordiv, pow, lambda x, y:2*x - y ):
	print("%10s :" % op.__name__, s_ewise(scalar, a0, op))

	
       add : [[17, 18, 17, 14], [14, 19, 14, 11], [12, 13, 16, 14]]
       sub : [[3, 2, 3, 6], [6, 1, 6, 9], [8, 7, 4, 6]]
       mul : [[70, 80, 70, 40], [40, 90, 40, 10], [20, 30, 60, 40]]
  floordiv : [[1, 1, 1, 2], [2, 1, 2, 10], [5, 3, 1, 2]]
       pow : [[10000000, 100000000, 10000000, 10000], [10000, 1000000000, 10000, 10], [100, 1000, 1000000, 10000]]
  <lambda> : [[13, 12, 13, 16], [16, 11, 16, 19], [18, 17, 14, 16]]
>>>