Faster Python - 1st version

tisnik · May 13, 2024 · 335f814 · 335f814
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diff --git a/docs/faster_python.md b/docs/faster_python.md
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+# How to make Python faster
+
+AOT, JIT and noGIL technologies 
+
+---
+
+* Pavel Tišnovský
+* [email protected]
+
+![Python](images/python.png)
+
+---
+
+# Where's the problem?
+
+```python
+def add_two_numbers(x, y):
+    return x + y
+
+
+z = add_two_numbers(123, 456)
+print(z)
+
+```
+---
+
+# Solutions
+
+* AOT compiler
+   - Cython
+* JIT compiler
+   - Numba
+
diff --git a/docs/faster_python.txt b/docs/faster_python.txt
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+One of the drawbacks of Python is that applications run relatively slowly written in this language. However, nowadays the situation is not bad at all, because there are both JIT (Just In Time) and AOT (Ahead of Time) Python compilers. What's more, the classic CPython is constantly being improved, with a relatively big performance leap taking place with Python version 3.11. There is also a variant of CPython without Global Interpreter Lock (GIL). In this lecture, we will introduce Numba (JIT), mypyc (AOT) and Python technologies without GIL.
diff --git a/docs/index_python.html b/docs/index_python.html
@@ -16,9 +16,10 @@ <h1>Python ecosystem</h1>
             <li><a href="functional_python.html">Functional Python</a></li>
             <li><a href="mypy.html">Type annotations and static type checking for Python</a></li>
             <li><a href="modern_python.html">Evoluce Pythonu (CZ)</a></li>
+            <li><a href="faster_python.html">How to make Python faster</a></li>
             <li><a href="fastapi.html">FastAPI</a></li>
             <li><a href="xarray.html">Xarray: labelled multi-dimensional arrays in Python</a></li>
-            <li><a href="python_data_science.html">Data science s vyu&#382;it&#237;m Pythonu</a></li>
+            <li><a href="python_data_science.html">Data science s vyu&#382;it&#237;m Pythonu (CZ)</a></li>
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