What is Python? Why learn it?
Installing Python & setting up IDEs (IDLE, VS Code, Jupyter Notebook)
Writing your first Python program: print(“Hello, World!”)
Understanding syntax, indentation, and comments
Variables and data types (strings, integers, floats, booleans)
Input and output functions
Type conversion
Basic operators (arithmetic, comparison, logical)
Lists: creation, indexing, slicing, methods
Tuples: immutability and use cases
Sets: uniqueness and set operations
Dictionaries: key-value pairs and methods
The Lean programming language is an open-source functional programming language and an interactive theorem prover. Originally developed by Microsoft Research in 2013, its primary goal is to bridge the gap between formal mathematics and programming by creating machine-checkable proofs of complex problems.
Key Features and Uses
Interactive Theorem Proving: Lean is most widely known and used for formalizing mathematics. It provides a system where mathematicians can write rigorous, machine-verified proofs, ensuring their correctness in a way that traditional peer review sometimes cannot. This effort has led to the creation of a vast, community-maintained library called Mathlib, which contains over a million lines of formalized mathematics.
Functional Programming Language: Lean 4, the current version, is also an efficient, general-purpose functional programming language. It can be used to write regular software and even its own compiler and core components are implemented in Lean itself. Its type system is highly powerful, which helps in making writing correct and maintainable code easier.
Formal Verification: Beyond pure mathematics, Lean is used in industry (notably by Amazon Web Services and Google DeepMind) to formally verify the correctness of critical software and hardware systems, such as authorization engines and cryptographic routines. This process ensures a high degree of security and reliability.
Education and AI Research: Lean is used in university courses and AI research. Researchers are leveraging large language models (LLMs) to help automate proof construction in Lean, and interactive games like the Natural Number Game are used to teach logic and proof fundamentals.