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# BBC Python Course notes
## TODO:
## Numbers
## Control flow
### Conditionals
### While loops
### For loops
Add example of slightly odd ternary structure
While, when we don't know how long

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---
title: Python data-types
categories:
- Programming Languages
tags: [python, data-types]
---
# Python datatypes
The core data-types are as follows:
- str
- bool
- float
- double
- ...
## Converting data-types
For every data-type there is a corresponding converter method, e.g:
```python
a_string_int = "32"
as_int = int(a_string_int)
# 32
a_float_int = "32.2"
as_float = float(a_float_int)
# 32.2
a_bool = "true"
as_bool = bool(a_bool)
# True
```

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---
title: Python data-types
categories:
- Programming Languages
tags: [python, data-types]
---
# Python data-types
- Python is dynamically typed rather than untyped. It updates the types on the fly as you are writing your code.
- Type-hints in the editor like `-> str` mean "at the moment it is a string". It doesn't mean you can't redefine the value as something else.
- Each data type in Python inherits off of a built-in class, similar to prototypes in JS
The core data-types are as follows:
- str
- bool
- float
- double
We can identify types using the built-in `type()` function:
```python
# Integer number
my_variable = 422
print(my_variable)
print(type(my_variable))
# <class 'int'>
# String type
my_variable = 'Natalia'
print(my_variable)
print(type(my_variable))
# <class 'str'>
# Boolean type
my_variable = True
print(my_variable)
print(type(my_variable))
# <class 'bool'>
```
## Converting data-types
For every data-type there is a corresponding converter method, e.g:
```python
a_string = '32'
print(f'a_string {a_string} is {type(a_string)}')
an_int = int(a_string)
print(f'an_int {a_string} is {type(an_int)}')
a_float = float(a_string)
print(f'a_float {a_string} is {type(a_float)}')
another_string = str(42)
print(f'another_string {a_string} is {type(another_string)}')
```

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---
categories:
- Programming Languages
tags: [python, data-types]
---
# Python execution
For immediately executable scripts, we have to have a Python shebang at the top:
```
#! /usr/local/bin/python3
```
With programs we can just run the `main` file with `python main.py`.

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---
categories:
- Programming Languages
tags: [python, data-types]
---
# Package management
- It is better to use `conda` (the package manager that comes with `anaconda`), since this makes it easier to work with conflicting package libraries (a bit like a package lock).
- The alternative is the native `pip` but you have to create virtual environments (`venv`) to manage packages at different versions.
It works a bit like this:
![](/_img/Screenshot%202023-02-13%20at%2010.43.17.png)
To make use of virtual environments in `pip` you have to create the virtual environment before installing anything:
```
python3 -m venv venv3
source venv3/bin/activate
pip [library_name]
```
- pypi.org > is package registry like NPM

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---
categories:
- Programming Languages
tags: [python]
---
# Conditional statements in Python
## Basic example
```python
input_string = input('Please input a number: ')
if input_string.isnumeric():
print('The number is accepted')
else:
print('The input is invalid')
# 5
# The number is accepted
# Using an and in the condition
print('-' * 25)
age = 15
status = None
if age > 12 and age < 20:
status = 'teenager'
else:
status = 'not teenager'
print(status)
```
## Else if
```python
savings = float(input("Enter how much you have in savings: "))
if savings == 0:
print("Sorry no savings")
elif savings < 500:
print('Well done')
elif savings < 1000:
print('That is a tidy sum')
elif savings < 10000:
print('Welcome Sir!')
else:
print('Thank you')
```
## Nested conditions
```python
snowing = True
temp = -1
if temp < 0:
print('It is freezing')
if snowing:
print('Put on boots')
print('Time for Hot Chocolate')
print('Bye')
```
## Ternaries/ shorthand conditionals
```python
status = 'teenager' if age > 12 and age < 20 else 'not teenager'
print(status)
num = int(input('Enter a simple number: '))
result = -1 if num < 0 else 1
print('Result is ', result)
```

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---
categories:
- Programming Languages
tags: [python, data-structures]
---
# Dictionaries in Python
Dictionaries are basically the Python equivalent of objects in JS.
Dictionaries:
- Are ordered (in contrast to JS)
- Are mutable
- Are indexed by a key which references a value
- Can be increased/decreased in length by adding/removing new members.

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---
categories:
- Programming Languages
tags: [python, data-structures]
---
# Lists in Python
Lists are the equivalent of a simple array in JavaScript.
Lists have the following properties:
- They are **ordered**
- They are **mutable** and can be modified
- They **allow duplicate** members
- They are **indexed**
- You can increase/decrease their length by adding/removing new members

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---
categories:
- Programming Languages
tags: [python]
---
# Loops in Python
## While
```python
count = 0
print('Starting')
while count < 10:
print(count, '', end='')
count += 1
print() # not part of the while loop
print('Done')
"""
Starting
0 1 2 3 4 5 6 7 8 9
Done
"""
```
> There are no `do while` loops in Python
## For
```python
# Loop over a set of values in a range
print('Print out values in a range')
for i in range(0, 10):
print(i, ' ', end='')
print()
print('Done')
"""
Print out values in a range
0 1 2 3 4 5 6 7 8 9
Done
"""
# Now use values in a range but increment by 2
print('Print out values in a range with an increment of 2')
for i in range(0, 10, 2):
print(i, ' ', end='')
print()
print('Done')
"""
Print out values in a range with an increment of 2
0 2 4 6 8
Done
"""
# Now use an 'anonymous' loop variable
for _ in range(0, 10):
print('.', end='')
print()
print('-' * 25)
# Illustrates use of break statement
print('Only print code if all iterations completed')
num = int(input('Enter a number to check for: '))
for i in range(0, 6):
if i == num:
break
print(i, ' ', end='')
print('Done')
"""
Only print code if all iterations completed
Enter a number to check for: 7
0 1 2 3 4 5 Done
"""
# Illustrates use of continue statement
for i in range(0, 10):
print(i, ' ', end='')
if i % 2 == 1:
continue
print('hey its an even number')
print('we love even numbers')
print('Done')
"""
0 hey its an even number
we love even numbers
1 2 hey its an even number
we love even numbers
3 4 hey its an even number
we love even numbers
5 6 hey its an even number
we love even numbers
7 8 hey its an even number
we love even numbers
9 Done
"""
# Illustrates use of else statement with a for loop
print('Only print code if all iterations completed')
num = int(input('Enter a number to check for: '))
for i in range(0, 6):
if i == num:
break
print(i, ' ', end='')
else:
print()
print('All iterations successful')
print('Done')
"""
Only print code if all iterations completed
Enter a number to check for: 6
0 1 2 3 4 5
All iterations successful
Done
"""
```

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---
categories:
- Programming Languages
tags: [python]
---
# Match statements in Python
> A `match` statement is the equivalent of a switch or case statement in Python
```python
command = input("What are you doing next? ")
match command:
case "quit":
print("Goodbye!")
case "look":
print("Looking out")
case "up" | "down":
print("up or down")
case _:
print("The default")
"""
What are you doing next? up
up or down
"""
match command.split():
case ["go", "left"]:
print("go left")
case ["go", ("fast" | "slow")]:
print("go fast or slow")
point = (3, 3)
match point:
case (x, y) if x == y:
print(f"The point is located on the diagonal Y=X at {x}.")
case (x, y):
print(f"Point is not on the diagonal.")
"""
The point is located on the diagonal Y=X at 3.
"""
```

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---
categories:
- Programming Languages
tags: [python, data-types]
---
# None in Python
`None` is not `null`, it is closer to `undefined` in JS. If you define a variable as `None`, the variable exists, it is just not yet defined.
Using `None` is a pattern similar to using `let` in JS to name a variable and definine it later on.
```python
temperature = None
```
If we logged `temperature` it would give us `None` rather than a null pointer error.
With None we can use `is None` and `is not None`, special predicates for working with `None` only. This is a akin to using `if (x !== undefined)` in TypeScript
```python
winner = None
print('winner:', winner)
# winner: None
print('winner is None:', winner is None)
# winner is None: True
print('winner is not None:', winner is not None)
# winner is not None: False
print(type(winner))
# <class 'NoneType'>
# Now set winner to be True
print('Set winner to True')
# Set winner to True
winner = True
print('winner:', winner)
# winner: True
print('winner is None:', winner is None)
# winner is None: False
print('winner is not None:', winner is not None)
# winner is not None: True
print(type(winner))
# <class 'bool'>
```

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---
categories:
- Programming Languages
tags: [python, data-types]
---
# Numbers in Python
## Distinguishing `int` and `float`
- In Python we have floats and integers and we can coerce one into the other
- A `//` as an operator means float division. This obviously provides greater precision than int division `/`.
- There is no increment (`++`) or decrement (`--`) operator in Python
```python
# Integers and floats
count = 1
print(count)
# 1
print(type(count))
# <class 'int'>
exchange_rate = 1.83
print(exchange_rate)
# 1.83
print(type(exchange_rate))
# <class 'float'>
print(float(count))
# 1.0
print(int(exchange_rate))
# 1
```

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---
categories:
- Programming Languages
tags: [python, data-structures]
---
# Sets in Python
- They are **unordered**
- You can increase/decrease their length by adding/removing new members
- They **do not allow duplicate members**
- **Can only hold immutable objects**

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---
categories:
- Programming Languages
tags: [python, data-types]
---
# Strings in Python
> Generally, anything that changes a string will be a method on the `str` class, rather than a built-in function like `len()`, as such it will use dot notation
- Strings are **immutable**: string operations produce a new string.
```python
# Working with Strings
my_variable = 'Bob'
print(my_variable)
# Bob
my_variable = "Eloise"
print(my_variable)
# Eloise
# A multi line string
my_variable = """
Hello
World
"""
print(my_variable)
"""
Hello
World
"""
my_string = 'Hello World'
print(len(my_string))
# 11
string_1 = 'Good'
string_2 = " day"
string_3 = string_1 + string_2
print(string_3)
# Good day
msg = 'Hello Lloyd you are ' + str(21)
print(msg)
# Hello Lloyd you are 21
# Range of String operations
msg = 'Hello World'
print(msg.replace("Hello", "Goodbye"))
# Goodbye World
print('Edward Alan Rawlings'.find('Alan'))
# 7
print('Edward John Rawlings'.find('Alan'))
# -1
print('James' == 'James') # prints True
print('James' != 'John') # prints True
print("msg.startswith('H')", msg.startswith('H'))
# msg.startswith('H') True
print("msg.endswith('d')", msg.endswith('d'))
# msg.endswith('d') TRUE
print('some_string.upper()', msg.upper())
# some_string.upper() HELLO WORLD
print('sub string: ', 'Hello-World'[1:5])
# sub string: ello
# String interpolation
user_age = input("Please enter your age: ")
print(f'You are {user_age}')
```

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---
categories:
- Programming Languages
tags: [python, data-structures]
---
# Tuples in Python
Tuples are one of the main data-structures or containers in Python.
Tuples have the following properties:
- They are **ordered**
- They have a **fixed size**
- They are **immutable** and cannot be modified
- **Allow duplicate** members
- They are **indexed**
```python
tup1 = (1, 3, 5, 7)
print('tup1[0]:\t', tup1[0])
print('tup1[1]:\t', tup1[1])
print('tup1[2]:\t', tup1[2])
print('tup1[3]:\t', tup1[3])
"""
tup1[0]: 1
tup1[1]: 3
tup1[2]: 5
tup1[3]: 7
"""
# Slicing
print('tup1[1:3]:\t', tup1[1:3])
print('tup1[:3]:\t', tup1[:3])
print('tup1[1:]:\t', tup1[1:])
print('tup1[::-1]:\t', tup1[::-1])
"""
tup1[1:3]: (3, 5)
tup1[:3]: (1, 3, 5)
tup1[1:]: (3, 5, 7)
tup1[::-1]: (7, 5, 3, 1)
"""
print('len(tup1):\t', len(tup1))
# len(tup1): 4
tup2 = (1, 'John', True, -23.45)
print(tup2)
# (1, 'John', True, -23.45)
tup3 = ('apple', 'pear', 'orange', 'plum', 'apple')
for x in tup3:
print(x)
print(tup3.count('apple'))
print(tup3.index('pear'))
if 'orange' in tup3:
print('orange is in the Tuple')
tuple1 = (1, 3, 5, 7)
tuple2 = ('John', 'Denise', 'Phoebe', 'Adam')
tuple3 = (42, tuple1, tuple2, 5.5)
print(tuple3)
```

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# Learning Topic Log # Learning Topic Log
## Python
- Get PEP8 working in VSCode as linter and add to execute on save. (These are conventions not syntactic enforcements, style)
- Is there a thing like prettier to enforce double quotes over single for instance?
- Research: How do I make sure I am using `conda` and not the default install in VSCode ? PyCharm makes it easy to select environment.
- Research: best practice for separating projects into `conda` environments like npm
- Read-up more on types: what does it mean for Python to be dynamically typed. What is type-hinting really?
- Use provided pdfs and John's books
## Bash ## Bash
- Best way to run a command in a script - is it to `echo` it? - Best way to run a command in a script - is it to `echo` it?