🐍🐍 Python part one 🐍🐍

Why Python? The trade-off

Why Python? It gives you wings

Why Python?

• readable
• free to use
• cross-platform
• well documented
• widely used

✨ Lesson outline ✨

1. Running Python
2. Variables and assignment
3. Data types and type conversion
4. Built-in functions, help and errors
5. Lists

Programming can be frustrating

In programming, the little things matter! An extra full-stop or the smallest typo will stop your code running

Plain text vs. Jupyter Notebook

• Plain text approach:

  • write code in a text editor
  • save with a .py extension
  • run code using a terminal

• Jupyter notebook approach:

  • write code in a jupyter notebook
  • run code in a jupyter notebook
  • save with a .ipynb extension

Data types

Data type	Python name	Definition	Example
integer	int	positive or negative whole numbers	-256
float	float	real number	-3.16436
string	str	character string	"20 pence."
list	list	a sequence of values	['frog',2,8]

+ boolean, dict, tuple, complex, None, set

</small>

Lists

Data type	Python name	Definition	Example
integer	int	positive or negative whole numbers	-256
float	float	real number	-3.16436
string	str	character string	"20 pence."
list	list	a sequence of values	['frog',2,8]

</small>

✨ Lesson Outline ✨

1. running python code: Jupyter Notebooks, markdown basics
2. variables: variable names, variable assignment, print(), execution order
3. data types: integer, float, string, list, len(), string operations/indexing/slicing, type conversion: int(), str(), float()
4. functions, help and errors: min(), max(), round(), help(), runtime errors (exceptions), syntax errors
5. lists sequence type, immutable vs mutable, list method append, del