🎯Learning Outcomes

• ▸Calculate solvent volumes programmatically
• ▸Use functions to organize code
• ▸Implement loops for repetitive tasks
• ▸Read and write CSV files for data processing

🔍 Breaking It Down

mol_weights = [342.3, 156.8, 456.58]  # Store multiple values

def mw_calculator(mass, concentration, mw):
    return 1000 * (mass / concentration) / mw

for index, mw in enumerate(mol_weights):
    volume = mw_calculator(...)

➡️Ready to Learn How This Works?

Don't worry if this looks complex right now! We'll break it down step by step:

1. Step 1: Variables, data types, and basic calculations
2. Step 2: Lists and for loops to handle multiple values
3. Step 3: Functions to make code reusable
4. Step 4: Reading data from files (bonus!)

🎯Key Novel Concepts

• ▸Use Google Colab notebooks for Python programming
• ▸Run and modify code cells interactively
• ▸Define variables and perform calculations
• ▸Format output using f-strings

🔢 Working with Numbers

Let's start with numbers - perfect for lab measurements, concentrations, and calculations.

🎯Key Concepts Learned

• ▸Variables store data with descriptive names
• ▸Print statements display variable values
• ▸Numbers and strings behave differently
• ▸Variables can be swapped (challenge!)
• ▸Variables can be reused and updated
• ▸String methods transform text data

🔢 Integers (int)

Whole numbers - perfect for counting samples, cycles, or time points.

🎯Key Concepts Learned

• ▸int: Whole numbers for counting
• ▸float: Decimal numbers for measurements
• ▸str: Text data in quotes
• ▸bool: True or False values
• ▸Use type() to check data types
• ▸Choose the right type for your data

📝 Basic F-String Usage

Start with f"" and put variables in {} brackets.

🎯Key Concepts Learned

• ▸F-strings start with f""
• ▸Variables go in {} brackets
• ▸Format decimals with :.2f
• ▸Percentages with :.1%

📋 Creating and Using Lists

Store your experimental data in lists for batch processing.

🎯Key Concepts Learned

• ▸Lists store multiple values in order
• ▸Access items with square brackets [ ]
• ▸Indexing starts at 0, not 1
• ▸Use append() to add items
• ▸len() gives the number of items
• ▸Negative indices count from the end

1️⃣ Simple For Loops

Start with the basics - print each item in a list.

🎯Key Concepts Learned

• ▸For loops process each item in a list
• ▸Build new lists with append()
• ▸range(len()) for index access
• ▸enumerate() for index + value
• ▸Indentation defines loop body
• ▸List comprehensions are optional shortcuts

1️⃣ Simple Functions

The most basic functions just take variables (numbers, strings) and print the result. Nothing is returned!

🎯Key Concepts Learned

• ▸Functions start with def
• ▸Parameters go in parentheses
• ▸Use return to send back results
• ▸Functions make code reusable
• ▸Some functions print instead of return
• ▸Write once, use many times

1️⃣ Default Parameters

Set common values as defaults - parameters with = signs are optional!

🎯Key Concepts Learned

• ▸Default parameters: param=value
• ▸Keyword arguments for clarity
• ▸Multiple return values with commas
• ▸Unpack: a, b = function()
• ▸Positional args come before keyword
• ▸Functions become more flexible

🔍 Breaking It Down

mol_weights = [342.3, 156.8, 456.58]  # Store multiple values

def mw_calculator(mass, concentration, mw):
    return 1000 * (mass / concentration) / mw

for index, mw in enumerate(mol_weights):
    volume = mw_calculator(...)

➡️Ready to Learn How This Works?

Don't worry if this looks complex right now! We'll break it down step by step:

1. Step 1: Variables, data types, and basic calculations
2. Step 2: Lists and for loops to handle multiple values
3. Step 3: Functions to make code reusable
4. Step 4: Reading data from files (bonus!)

3️⃣Functions - Reusable Code