Python Functions Tutorial Online Training

This entry-level Python Functions Tutorial training prepares software developers to write functions in Python, special blocks of code that only run at certain times throughout a program.

Writing a function in a programming language tends to be one of the first things that software developers learn. Different languages process functions differently, but in the Python language, they're quite simple: a grouped block of code that performs a specific task. The concept is simple enough – actually writing one and incorporating it successfully can be more challenging.

This course is a tutorial on writing functions in Python. It covers the idea of functions and how to write them in Python.

After finishing this Python Functions Tutorial training, you'll know how to write functions in Python, special blocks of code that only run at certain times throughout your program.

For anyone with software developers on their team, this open-source training can be used to onboard new software developers, curated into individual or team training plans, or as an open-source reference resource.

Python Functions Tutorial: What You Need to Know

This Python Functions Tutorial training has videos that cover topics including:

Understanding functions in programming generally and in Python specifically
Writing blocks of code in Python that only run when they get called
Understanding the small differences between parameters and arguments
Passing arguments in the right order

Who Should Take Python Functions Tutorial Training?

This Python Functions Tutorial training is considered foundational-level open-source training, which means it was designed for software developers. This programming skills course is valuable for new IT professionals with at least a year of experience with python best practices and experienced software developers looking to validate their open-source skills.

New or aspiring software developers. This Python tutorial on writing functions is perfect for new software developers. If you're planning on a career in software development, you will absolutely use Python throughout your career. It's up to you whether you'll be prepared or not.

Experienced software developers. If you've been working as a software developer for several years already, you should take this Python tutorial course in functions if you're feeling shaky on Python functions. Maybe you've always used other languages up to now and you just can't remember how Python defines its functions. This course will quickly get you up to speed on writing functions in Python.

Skill:
Understand Functions in Python
- 1. Overview
  1 min
- 2. Introduction to Functions
  8 mins
- 3. Exploring Built-In Functions
  10 mins
- 4. Creating Functions
  16 mins
- 5. Passing Arguments
  11 mins
- 6. The Return Statement
  7 mins
- 7. Conclusion
  1 min
Skill:
Implement Functions in Python
- 1. Overview
  1 min
- 2. Args
  10 mins
- 3. Kwargs
  6 mins
- 4. Importing Modules
  14 mins
- 5. Returning Multiple Values
  7 mins
- 6. Scope
  8 mins
- 7. Conclusion
  1 min
Skill:
Understand Functional Programming in Python
- 1. Overview
  1 min
- 2. Introduction
  6 mins
- 3. Comprehensions
  11 mins
- 4. Lambda Functions
  13 mins
- 5. The Map Function
  9 mins
- 6. The Filter Function
  6 mins
- 7. The Reduce Function
  5 mins
- 8. Conclusion
  1 min
Skill:
Decorators & Generators
- 1. Overview
  1 min
- 2. Introduction
  3 mins
- 3. Functions Recap
  6 mins
- 4. Creating a Decorator
  8 mins
- 5. Decorator Syntax
  6 mins
- 6. Passing Arguments
  9 mins
- 7. Creating a Performance Decorator
  4 mins
- 8. Generator Overview
  2 mins
- 9. Generator Comprehensions
  6 mins
- 10. Conclusion
  1 min
Skill:
First-Class Functions in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. First-Class Function Basics
  14 mins
- 4. Returning Functions
  7 mins
- 5. Python Lambdas
  12 mins
- 6. Example 1: Calculating Sale Prices
  9 mins
- 7. Example 2: Testing Function Performance
  9 mins
- 8. Conclusion
  1 min
Skill:
Higher-Order Functions in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Higher-Order Functions Basics
  5 mins
- 4. Example 1: Automatically Printing Function Calls
  10 mins
- 5. Example 2: Value or Iterable?
  14 mins
- 6. Example 3: Automatically Tracking Functions
  9 mins
- 7. Example 4: Checking Arguments
  11 mins
- 8. Conclusion
  1 min
Skill:
Introduction to Partial Application and Currying
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Example 1: Getting Dictionary Entries
  9 mins
- 4. Partial Application with functools
  12 mins
- 5. Example 2: URL Builder
  10 mins
- 6. Conclusion
  1 min
Skill:
Advanced Higher-Order Functions
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Argument Checking Review & Improvements
  12 mins
- 4. Argument Checking with Different Criteria
  11 mins
- 5. Argument Checking with a Single HOF
  11 mins
- 6. Adding Multiple Argument Checks
  11 mins
- 7. A Better Way to Add Multiple Argument Checks
  6 mins
- 8. Conclusion
  1 min
Skill:
Advanced Partial Application & Currying
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Finding a Function's Expected Number of Arguments
  5 mins
- 4. Implementing Automatic Partial Application
  10 mins
- 5. Implementing Automatic Currying
  9 mins
- 6. Partial Application with Keyword Arguments
  10 mins
- 7. Conclusion
  1 min
Skill:
Introduction to Memoization
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Implementing Memoization in Python
  12 mins
- 4. Memoizing the Fibonacci Sequence
  14 mins
- 5. Memoization with a Dictionary
  6 mins
- 6. Conclusion
  1 min
Skill:
Composing Functions in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Basics of Function Composition
  11 mins
- 4. Composing Python Functions
  14 mins
- 5. Composition Using Lists
  8 mins
- 6. Composition Using Higher-Order Functions
  10 mins
- 7. Composition Plus Partial Application
  7 mins
- 8. Conclusion
  1 min
Skill:
Advanced Memoization
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Memoizing Multiple Arguments
  10 mins
- 4. Another Strategy for Memoizing Multiple Arguments
  10 mins
- 5. Memoizing with Higher-Order Functions
  12 mins
- 6. Memoizing Keyword Arguments
  12 mins
- 7. Conclusion
  1 min
Skill:
Introduction to Recursion in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Basics of Recursion
  12 mins
- 4. Building a Recursive For-Loop
  10 mins
- 5. Looping Through a List with Recursion
  12 mins
- 6. Other Strategies for Dealing with Lists
  10 mins
- 7. Conclusion
  1 min
Skill:
Recursion with Lists
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Implementing Min Recursively
  14 mins
- 4. Recursive Max and Sum
  7 mins
- 5. Another Strategy for List Recursion
  9 mins
- 6. Re-Implementing Max and Sum
  10 mins
- 7. Tail Recursion and Tail-Call Optimization
  5 mins
- 8. Conclusion
  1 min
Skill:
Working with Trees in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Representing Trees Using Nested Lists
  7 mins
- 4. Another Method for Representing Trees Using Nested Lists
  7 mins
- 5. Representing Trees Using Dictionaries
  8 mins
- 6. Representing Trees Using Combined Dictionaries and Lists
  10 mins
- 7. Conclusion
  1 min
Skill:
Basic Tree Algorithms in Python
- 1. Overview
  1 min
- 2. Introduction
  1 min
- 3. Printing Trees Recursively
  9 mins
- 4. Recursive Printing with Different Tree Structures
  14 mins
- 5. Depth-First vs. Breadth-First Tree Traversal
  9 mins
- 6. Printing Trees Breadth-First
  8 mins
- 7. A Better Way to Print Trees
  7 mins
- 8. Conclusion
  1 min

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Course overview

13 HOURS OF TRAINING

16 SKILLS

94 VIDEOS

0 VIRTUAL LABS

0 PRACTICE EXAMS

Shaun Wassell

Nugget trainer since 2021

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Python Functions Tutorial FAQs: Cost, Training, Value

What are functions in Python?

Python is a computer programming language made popular thanks to its simplicity and versatility. Like any programming language, Python uses blocks of reusable code to perform specific tasks – these are called functions. Functions are parts of a larger body of code that take arguments as inputs, process them, and return values as outputs. Those outputs may get processed by additional functions or used as end results for the user.

Is Python a useful language to learn?

Yes, Python is a very useful language to learn – whether you work as a computer programmer, web developer, data analyst, or just about anything else. Python's versatility is what makes it so useful to learn – it's used in tons of different contexts. Python is prominently used in web development, data analysis, and even artificial intelligence. It has a huge ecosystem of libraries and frameworks, and it's wildly popular and well-supported.

What are the essential components of a function in Python?

A function in Python has three essential components, those are a name, parameters (which are actually optional), and a body. A Python function's name identifies the function and gets referenced in code to use it. Python parameters are input variables that are available to the function for processing. The body of a Python function is the statements that define its functionality. Functions can also return a value and end its execution.

Who should take this tutorial course on Python functions?

Professionals from many different fields should take the time to learn how Python functions work. Software developers, data analysts and research professionals top the long list of who could benefit from learning the programming language. Python is great for modular programming and code organization, it's preferred for efficient data processing and analysis, and it emphasizes reusable code components. Professionals in many different fields, including research, AI/ML and automation thrive with Python.

Is it hard to learn Python?

No, it's not considered very hard to learn Python, especially when you have a tutorial course that can orient you on the syntax, readability and versatility of the language and its functions. Beginners like the simple syntax of the Python programming language, but seasoned programmers find its versatility and depth to be its best attribute. Python's advanced concepts can pose a challenge for beginners, but with proper guidance it's a very learnable language.

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