Source code online books for professionals by professionals

Weave, Cinpy, and PyInline. These three packages let you use C (or some other languages) directly in your Python 
code. This is done quite cleanly, by keeping the C code in multiline Python strings, which are then compiled on the 
fly. The resulting code object is then available to your Python code, using facilities such as ctypes for the interfacing.
Other tools. Clearly there are plenty of other tools out there, which may be of more use to you than these, depending 
on your needs. For example, if you want to reduce memory use rather than time, a JIT is not for you—JITs generally 
need a lot of memory. Instead, you might want to check out Micro Python, which is designed to have a minimal 
memory footprint and to be suited for using Python on microcontrollers and in embedded devices. And, who knows, 
maybe you don’t even require the use of Python. Perhaps you’re working in a Python environment, and you want 
a high-level language, but you want all of your code to be really fast. Though it might be Pythonic heresy, I suggest 
looking at Julia. While it’s a different language, its syntax should be familiar enough to any Python programmer. It also 
has support for calling Python libraries, which means that the Julia team is cooperating with Python projects such as 
IPython,
2
 and it has even been the subject of a SciPy conference lecture already.
3
2
See, for example, 
http://jupyter.org
.
3
https://conference.scipy.org/scipy2014/schedule/presentation/1669
.