Metal–ligand multiple bonds refer to the formation of multiple bonds between a metal center (often a transition metal) and a ligand, which is a molecule or ion that can donate at least one pair of electrons to the metal. The most common types of multiple bonds in coordination chemistry are double and even triple bonds, which can occur in specific metal-ligand complexes. ### 1.

A pi bond (π bond) is a type of covalent bond that occurs when two atomic orbitals overlap in such a way that there is a region of electron density above and below the axis connecting the two nuclei of the bonding atoms. Pi bonds are typically formed between p orbitals that are aligned parallel to each other. Pi bonds usually occur in conjunction with sigma bonds (σ bonds).

A quintuple bond is a type of chemical bond involving the sharing of five pairs of electrons between two atoms. This means that there are five single bonds worth of electron pairs being shared. Quintuple bonds are relatively rare and most commonly observed in certain transition metal complexes, especially those involving heavier transition metals. In terms of examples, compounds like some metal carbides may exhibit quintuple bonds, such as in the case of the carbon-carbon bond found in certain metal systems.

Starch gelatinization is a process that involves the transformation of starch granules when they are heated in the presence of water. This process is critical in cooking and food preparation, as it affects the texture, viscosity, and digestibility of starch-containing foods. Here’s how the process works: 1. **Heating**: When starch granules are heated in water, they begin to absorb moisture and swell.

Nuclear interdisciplinary topics refer to areas of study that combine principles from various disciplines to understand and address issues related to nuclear science and technology. These topics often involve the intersection of fields such as physics, engineering, biology, environmental science, medicine, and policy, reflecting the complex and multifaceted nature of nuclear-related issues.

Minimal example. Gives a hint at how boilerplate heavy Sphinx can be!

Basic class example.

Polymorphism example:

A waste of time. Output in my source files pollutes git and prevents me from editing it in Vim. Just let me run the freacking code and render images as standalone PNGs which I can include from Markdown.

Some other basic hits due to how bad Jupyter is:

The people who work on this will go straight to heaven, no questions asked.

Output:With our understanding of the discrete Fourier transform we see clearly that:

A Python wrapper over a bunch of numeric and computer algebra system packages to try and fully replace MATLAB et. al.

For example, their

Quickstart tutorial at: www.sagemath.org/tour-quickstart.html From this we see that they are very opinionated, you don't need to import anything, everything has a pre-defined global name, which is convenient, e.g.:is the 3D vector space over the rationals. This also suggests that they are quite focused on computer algebra as opposed to numerical.