feat(presentation): present and future

presentation/sections/01_introduction.typ

@@ -7,7 +7,10 @@
 
 #align(center, image("../figs/python-logo.svg"))
 
-Python is a widely used language, especially in data science
+Python is a widely used language, especially in data science:
+- Easy to learn
+- Simple syntax
+- Vast and thriving ecosystem
 
 == It can bite
 

presentation/sections/03_midas.typ

@@ -443,7 +443,7 @@ Steps:
 == Customization
 
 #{
-  show raw: set text(size: 0.69em)
+  show raw: set text(size: 0.8em)
   item-by-item()[
     - Domain Specific Types (e.g. units, scores, transformed data)
       ```midas

presentation/sections/04_status_and_future.typ

@@ -1,4 +1,55 @@
 #import "../requirements.typ": *
+#import codly: codly
 
 #focus-slide(theme: "neon")[Current Status and Future]
 // = Current Status and Future
+
+== What Midas offers
+
+- Working *static type checking* of a good subset of Python (including dataframes)
+
+- *Custom type* definition language for domain-specific usages (supports generics, method overloads, dependent types, frame schemas, named predicates and more)
+
+- Toolbox *CLI* with useful debug features
+
+- Generation of *runtime assertions*
+
+- Stubs for *seamless integration* with other type checkers
+
+== What needs work
+
+- Reference types (side effects)
+  ```python
+  def modify_column(df: pd.DataFrame):
+      df["col"] = df["col"].astype(float)
+  ```
+- Reverse operators
+  ```python
+  a = 1.0 + 1  # float.__add__(int)
+  b = 1 + 1.0  # float.__radd__(int)
+  ```
+- Logical short-circuit bypass
+  #codly(
+    highlights: (
+      (
+        line: 1,
+        start: 15,
+        tag: box(inset: (x: 0.5em))[_Always evaluated_ ],
+        fill: std.red.lighten(20%)
+      ),
+    )
+  )
+  ```python
+  value = v1 or cast(Type, v2)
+  ```
+
+== Possible extensions
+
+- Visitor pattern $->$ easy to extend supported Python syntax
+
+- Multi-file projects (```python import``` statements)
+
+- Constraint solver
+  $
+    v in [1; 6] => v > 0
+  $