Discover Python's rich ecosystem of built-in functions and modules, plus how to download and work with packages.

Built-in functions

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Counting the elements

Performing calculations

Modules

What is a module?

Working with the string module

Importing from a module

Packages

Options

Package

Module

Package or module?

Working with pandas

Performing calculations with pandas

The Python Ecosystem

Learn the fundamentals of functions, from Python's built-in functions to creating your own from scratch!

Defining a custom function

Custom function syntax

Cleaning text data

Building a password checker

Default and keyword arguments

Positional versus keyword arguments

Adding a keyword argument

Data structure converter function

Docstrings

Single-line docstrings

Multi-line docstrings

Arbitrary arguments

Adding arbitrary arguments

Arbitrary keyword arguments

Working with functions

Build lambda functions on the fly, and discover how to error-proof your code!

Lambda functions

Adding tax

Calling lambda in-line

Lambda functions with iterables

Introduction to errors

Debugging code

Module and package tracebacks

Fixing an issue

Error handling

Avoiding errors

Returning errors

Congratulations

Lambda functions and error-handling

Are you ready to elevate your Python skills to the next level? This course will delve deeper into Python's rich ecosystem, focusing on essential aspects such as built-in functions, modules, and packages. You'll learn how to harness the power of Python's built-in functions effectively, enabling you to streamline your code.

The course will introduce you to the power of Python's modules, empowering you to develop quicker by reusing existing code rather than writing your own from scratch every time! You'll see how people have extended modules to create their own open-source software, known as packages, discovering how to download, import, and work with packages in your programs.

You'll progress to mastering the art of writing custom functions in Python. You'll learn best practices for defining functions, including comprehensive knowledge of how to write user-friendly docstrings to ensure clarity and maintainability. You'll dive into advanced concepts such as default arguments, enabling you to create versatile functions with predefined values. The course will equip you with the knowledge and skills to handle arbitrary positional and keyword arguments effectively, enhancing the flexibility and usability of your functions. By understanding how to work with these arguments, you'll be able to create more robust and adaptable solutions to various programming challenges.

Wrap up the course with debugging and error handling. You'll learn to interpret error messages, including tracebacks from incorrectly using functions from packages. You'll use keywords and techniques to adapt your custom functions, effectively handling errors and providing bespoke feedback messages to developers who misuse your code!


<h2>Elevate your Python skills to the next level</h2>This course will delve deeper into Python's rich ecosystem, focusing on essential aspects such as built-in functions, modules, and packages. You'll learn how to harness the power of Python's built-in functions effectively, enabling you to streamline your code. The course will introduce you to the power of Python's modules, empowering you to develop quicker by reusing existing code rather than writing your own from scratch every time! You'll see how people have extended modules to create their own open-source software, known as packages, discovering how to download, import, and work with packages in your programs.<br><br><h2>Master custom functions</h2>You'll learn best practices for defining functions, including comprehensive knowledge of how to write user-friendly docstrings to ensure clarity and maintainability. You'll dive into advanced concepts such as default arguments, enabling you to create versatile functions with predefined values. The course will equip you with the knowledge and skills to handle arbitrary positional and keyword arguments effectively, enhancing the flexibility and usability of your functions. By understanding how to work with these arguments, you'll be able to create more robust and adaptable solutions to various programming challenges.<br><br><h2>Debug your code and use error handling techniques</h2>
You'll learn to interpret error messages, including tracebacks from incorrectly using functions from packages. You'll use keywords and techniques to adapt your custom functions, effectively handling errors and providing bespoke feedback messages to developers who misuse your code!

Introduction to Python for Developers

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Working with pandas

Intermediate Python for Developers

Exercise instructions

Hands-on interactive exercise