Python Masterclass

Basic overview of Python syntax, covering fundamental programming structures that set the stage for deeper exploration.

• Syntax – The rules and structure of Python code, ensuring clarity.

• If/Else Statements – Conditional logic that allows programs to make decisions based on different conditions.

• Loops – Repeating structures that help to improve code efficiency.

This foundational knowledge provides essential context, preparing students to engage with more advanced topics throughout the course.

In this module, students will explore the core concepts of text-based coding, forming the foundation for Python programming.

• Variable Names – Labels that store data.

• Data Types – Types of values variables can hold, such as integers, floats, strings, and booleans.

• Arithmetic Operators – Math operations, including addition (+), subtraction (-), multiplication (*), and division (/).

• Block Diagram Notation – Visual representations of program flow, aiding in planning and structuring code.

For loop and indentation are essential tools for efficient coding. Loops allow coders to automate repetitive tasks by executing code multiple times without rewriting it.

• For Loops – Repeat a block of code for a set number of times, ideal for repetitive tasks.

• Indentation Rules – In Python, indentation defines the scope of loops, functions, and conditionals.

Understanding loops and proper indentation is crucial for writing clean, efficient Python code.

If-Else statements allow coders to introduce decision making and logic into their programs. These structures enable the program to choose between two or more paths based on conditions.

• If-Else – Choose one action if a condition is true, otherwise choose another.

• Else-If – Test multiple conditions in sequence.

• Comparison Operators – Compare values to determine conditions, such as == (equal to), > (greater than), and < (less than).

In Python, lists are used to store multiple items in a single variable. They are crucial for data analytics, as data is often organized in lists.

• Calling – Access items by their index.

• Slicing – Extract a portion of the list using a range of indices.

• String Slicing – Extract substrings from strings using slicing.

Mastering lists and slicing are crucial for working with large datasets, enabling data extraction, cleaning, and manipulation.

A while loop is a type of loop that repeats sections of code as long as a condition is true. It works like an if-else statement: the code within the loop runs repeatedly until the condition becomes false.

• Loop Counters – A variable used to track the number of loop iterations, allowing the loop to stop after a set number of runs.

• Infinite Loops – Occur when the loop's condition never becomes false, causing endless execution.

Functions are "mini-programs" within larger programs. They allow coders to create reusable blocks of code that perform specific tasks. Think of them as “excel formulas” written by the coder.

• Defining Functions: Functions are defined using the def keyword.

• Function Variables: Variables can be defined inside the function to store data used within it.

• Function Inputs: Functions can take inputs, called parameters, that allow for flexibility.

• Function Return: Functions can return values with the return keyword, allowing the output to be used elsewhere.

2-layered and 3-layered if-else statements involve nesting if-else structures inside each other, creating a decision tree that evaluates more complex conditions and enables multi-step decisions.

• Nested Statements – An if-else statement inside another creates a decision tree structure.

• Indentation Rules – Proper indentation is crucial for defining the scope of each statement, ensuring the program executes as intended.

These structures are fundamental for building complex algorithms.

Libraries in Python are pre-written sets of functions designed for specific tasks, saving time and effort.

• Math Library – Provides functions for performing mathematical operations like square roots, trigonometry, and more.

• Matplotlib – A powerful library for graphing and plotting data, allowing the creation of visual representations like charts, graphs, and histograms.

These libraries simplify complex tasks, enabling coders to focus more on logic and problem-solving while leveraging pre-built solutions.