Certified Professional in Python Programming 1 (PCPP1) Online Training

This intermediate Certified Professional in Python Programming 1 (PCPP1) training prepares software developers to use the Python programming language in accomplishing coding tasks and advanced programming objectives.

The Certified Professional in Python Programming is a two-part certification from the Python Institute. While the second part (PCPP2) focuses on implementing Python into advanced software architectures, PCPP1 simply focuses on a deep familiarity with object-oriented programming (OOP) principles.

The PCPP1 is not simply a Python certification, it represents a proficiency in advanced uses of classes and OOP features. This course takes Python beginners and gives them enough hands-on training scenarios and real-world practice to make them advanced Python users. Whether you're preparing for the PCPP1 certification or just want to write Python well, this course is your key to becoming an OOP king.

For anyone who manages IT training, this Python training can be used to onboard new software developers, curated into individual or team training plans, or as a Python reference resource.

PCPP1: What You Need to Know

This PCPP1 training has videos that cover topics such as:

Writing good Python code that conforms with best practices and conventions
Understanding OOP concepts, techniques, and categories
Developing graphical interfaces in Python
Managing and programming network operations

Who Should Take PCPP1 Training?

This Certified Professional in Python Programming 1 (PCPP1) training is considered associate-level Python training, which means it was designed for software developers. This Python skills course is designed for software developers with three to five years of experience with general-purpose programming language.

New or aspiring software developers. If you want to land a job as a programmer, Python should appeal to you for several reasons. It's famously simple to learn and readable. It's also a highly versatile language that you can adapt to every step of your career. If you take this course, you'll be prepared for the Python certification that employers recognize as a marker of programming comfort and expertise.

Experienced software developers. This course is useful for experienced developers who have some familiarity with Python already but have never buckled down and mastered the language. Turn your experience and familiarity into by-the-book mastery of the versatile and in-demand Python programming language with this PCPP1 training.

Skill:
Understand Object-Oriented Programming Basics
- 1. Essential Terms & Concepts
  6 mins
- 2. Inheritance, Subclasses, and Superclasses
  7 mins
- 3. Basic Class, Instance, and Attribute Syntax
  15 mins
- 4. Basic Instance Method Syntax
  6 mins
- 5. Reflexion Basics: isinstance and issubclass
  10 mins
- 6. Challenge: Build a Library Management System
  4 mins
- 7. Solution Walk-Through: Build a Library Management System
  13 mins
Skill:
Understand Comparison Magic Methods
- 1. Comparison Magic Method Basics
  9 mins
- 2. Other Comparison Magic Methods
  10 mins
- 3. Challenge and Solution: Build a Fraction Class
  20 mins
Skill:
Understand Numeric Magic Methods
- 1. Numeric Magic Methods
  12 mins
- 2. Other Numeric Magic Methods
  10 mins
- 3. Hands-On Example: Numeric Methods
  16 mins
- 4. Challenge: Lunar Arithmetic
  7 mins
- 5. Solution Walk-Through: Lunar Arithmetic
  19 mins
Skill:
Understand Type Conversion Magic Methods
- 1. Basic Type Conversion Magic Methods
  16 mins
- 2. Instance Representations and Formatting
  17 mins
- 3. Challenge and Solution: Type Conversion Methods for Fractions
  23 mins
Skill:
Understand Attribute Access Magic Methods
- 1. Basic Attribute Access Magic Methods
  14 mins
- 2. Creating "Computed Attributes"
  9 mins
- 3. Automatic Unit Conversion
  12 mins
- 4. Challenge and Solution: "Person" Class Enhancements
  27 mins
Skill:
Understand Container Access Magic Methods
- 1. Container Access Method Basics
  7 mins
- 2. Indexing Options for Container Access
  9 mins
- 3. More Advanced Indexing Options
  9 mins
- 4. Challenge: Build A Matrix Class
  4 mins
- 5. Solution Walk-Through: Build A Matrix Class
  8 mins
Skill:
Understand Iterator Magic Methods
- 1. Iterator Magic Method Basics
  6 mins
- 2. Creating Iterator "Wrappers"
  11 mins
- 3. Challenge: Iterator Magic Methods
  3 mins
- 4. Solution Walk-Through: Iterator Magic Methods
  6 mins
Skill:
Learn the Basics of Inheritance and Polymorphism
- 1. Class Hierarchies
  5 mins
- 2. Creating a Class Hierarchy
  13 mins
- 3. Polymorphism and Why it Matters
  12 mins
- 4. Duck-Typing
  10 mins
- 5. Challenge: Resetting Passwords
  2 mins
- 6. Solution Walk-Through: Resetting Passwords
  5 mins
Skill:
Understand Multiple Inheritance in Python
- 1. Basics of Multiple Inheritance
  9 mins
- 2. Multiple Inheritance with Methods
  9 mins
- 3. Multiple Inheritance with Attributes
  9 mins
- 4. Method Resolution Order (MRO)
  16 mins
- 5. Challenge and Solution: Method Resolution Order
  11 mins
Skill:
Learn the Basics of Composition
- 1. Inheritance vs. Composition
  7 mins
- 2. Composition in Code
  16 mins
- 3. Interesting Benefits of Composition
  13 mins
- 4. Hands-On Example: Video Game Characters
  13 mins
Skill:
Master Arguments in Python
- 1. Python's Six Argument Types
  15 mins
- 2. Challenge: Using Argument Types
  9 mins
- 3. Solution: Using Argument Types
  8 mins
Skill:
Learn About Python Function Decorators
- 1. Basic Function Decorator Syntax
  10 mins
- 2. Implementing Simple Decorators
  15 mins
- 3. Decorator Arguments and Stacking
  11 mins
- 4. Challenge: Improved Debugging Decorator
  3 mins
- 5. Solution: Improved Debugging Decorator
  7 mins
Skill:
Implement Common Function Decorator Patterns
- 1. Pattern #1: Monitoring Decorator
  10 mins
- 2. Pattern #2: Retry Decorator
  12 mins
- 3. Pattern #3: Caching Decorator
  10 mins
- 4. Closure in Python Decorators
  8 mins
- 5. Challenge: Average Performance Decorator
  8 mins
Skill:
Learn About Python Class Decorators
- 1. Basic Class Decorator Syntax
  13 mins
- 2. Decorating Functions with Classes
  15 mins
- 3. Decorating Classes with Classes
  10 mins
- 4. Challenge: Attribute Type Validation
  2 mins
- 5. Solution: Attribute Type Validation
  7 mins
Skill:
Implement Common Class Decorator Patterns
- 1. Pattern #1: Counting Instances
  12 mins
- 2. Pattern #2: Observing Attribute Changes
  10 mins
- 3. Pattern #3: Singleton Classes
  10 mins
- 4. Challenge: Accessing Other Instances
  6 mins
- 5. Solution: Accessing Other Instances
  7 mins
Skill:
Work with Class and Static Methods
- 1. Instance Counting with Class Methods
  10 mins
- 2. Combining Class Methods and Attributes with Decorators
  8 mins
- 3. Challenge and Solution: Alternative Constructors
  11 mins
Skill:
Implement Class Method Examples
- 1. Class-Level Settings
  13 mins
- 2. Flexible Defaults for Instance Attributes
  14 mins
- 3. Making Fluent, Chainable Methods
  1 min
- 4. Challenge and Solution: Flexible Defaults Decorator
  9 mins
Skill:
Learn About Abstract Classes and Methods
- 1. Basic Abstract Syntax
  14 mins
- 2. Abstract Class Inheritance
  7 mins
- 3. Abstract Class and Static Methods
  7 mins
- 4. Challenge and Solution: Working with Shapes
  18 mins
Skill:
Use Abstract Classes with OOP Design Patterns
- 1. Implementing the Observer Pattern
  6 mins
- 2. A Concrete Observer Pattern Example
  12 mins
- 3. Implementing the Template Method Pattern
  11 mins
- 4. Challenge and Solution: Combining Patterns
  10 mins
Skill:
Learn Attribute Encapsulation
- 1. Basics of Private and Protected Attributes
  12 mins
- 2. Private and Protected Attribute Examples
  13 mins
- 3. Implementing "Private" Attributes with Magic Methods
  11 mins
- 4. Challenge and Solution: Bank Account Management
  10 mins
Skill:
Work with Properties
- 1. Basics of Properties
  9 mins
- 2. Getters, Setters, and Deleters
  7 mins
- 3. Read-Only Properties
  6 mins
- 4. Setter Validation and "Wrangling"
  9 mins
- 5. Property Chaining
  11 mins
- 6. Challenge and Solution: Person Properties
  14 mins
Skill:
Extend Built-in Types and Classes
- 1. The Basic Idea
  8 mins
- 2. Extending Strings
  12 mins
- 3. Extending Ints and Floats
  9 mins
- 4. Mutable vs. Immutable Types
  8 mins
- 5. Challenge and Solution: No Empty Strings
  8 mins
Skill:
Extend Lists, Dictionaries and Other Types
- 1. Extending Lists
  10 mins
- 2. Adding New Methods to Lists
  9 mins
- 3. Extending Dictionaries
  9 mins
- 4. Extending Tuples
  9 mins
- 5. Challenge and Solution: History List
  11 mins
Skill:
Practice Built-in Type Extension
- 1. Example #1: Instance Counting with Ints
  6 mins
- 2. Example #2: Sanitized Strings
  9 mins
- 3. Example #3: Default-Value Dictionaries
  10 mins
- 4. Example #4: Percentage Floats
  8 mins
- 5. Challenge and Solution (Example #5): Representing Units
  12 mins
Skill:
Learn the Basics of Exceptions
- 1. Basic Terminology
  12 mins
- 2. Python's Built-in Exceptions
  9 mins
- 3. Raising Our Own TypeErrors and ValueErrors
  12 mins
- 4. Raising Our Own KeyErrors, AttributeErrors, etc.
  4 mins
- 5. Challenge and Solution: Library Enhancements
  14 mins
Skill:
Handle Exceptions Effectively
- 1. "Try" and "Except" Basics
  15 mins
- 2. The "Finally" and "Else" Blocks
  9 mins
- 3. Program Flow During Exceptions
  9 mins
- 4. Program Flow in "Layered" Programs
  8 mins
- 5. Challenge and Solution: Creating Instances from User Input
  20 mins
Skill:
Understand Advanced Exception Handling
- 1. Exception Handling in Different Locations
  16 mins
- 2. Creating Custom Exceptions
  6 mins
- 3. Basics of Exception Chaining
  14 mins
- 4. Challenge and Solution: Custom Exceptions and Chaining
  12 mins
Skill:
Understand Copy Operations
- 1. The Basics of Shallow Copying
  12 mins
- 2. The Basics of Deep Copying
  12 mins
- 3. Shallow- and Deep-Copying Pros and Cons
  12 mins
- 4. Label vs. Identity vs. Value
  10 mins
- 5. Challenge & Solution: What Happens to Arguments?
  9 mins
Skill:
Serialize and Deserialize Data
- 1. The Basics of Serialization and Deserialization
  10 mins
- 2. Serializing with the Pickle Library
  9 mins
- 3. Serializing with JSON
  12 mins
- 4. Challenge and Solution: Serializing Instances
  12 mins
Skill:
Learn the Basics of Metaprogramming
- 1. Reflection and Introspection Functions, Part I
  11 mins
- 2. Reflection and Introspection Functions, Part II
  9 mins
- 3. The __name__ Attribute
  8 mins
- 4. Other Special Attributes
  1 min
- 5. Challenge and Solution: Tell Me About...
  16 mins
Skill:
Learn Intermediate Metaprogramming Concepts
- 1. Metaprogramming with Decorators
  12 mins
- 2. Dynamic Code Execution
  11 mins
- 3. Building a "Code Quiz" with Dynamic Code Execution
  9 mins
- 4. Modifying Code Programmatically
  12 mins
- 5. Challenge and Solution: There Is (Almost Always) A Better Way
  2 mins
Skill:
Understand the Basics of Metaclasses
- 1. Some Simple Metaclass Examples
  11 mins
- 2. Modifying Classes with Metaclasses
  1 min
- 3. Challenge and Solution: Metaclass Creator Functions
  4 mins
Skill:
Practice Working with Metaclasses
- 1. Example #1: Metaclass Instance Counting
  12 mins
- 2. Example #2: Preventing Multiple Inheritance
  9 mins
- 3. Example #3: Adding Metaclasses by Using Decorators
  11 mins
- 4. Example #4: Metaclasses and Inheritance
  12 mins
- 5. Challenge & Solution: Combining Metaclasses
  6 mins
Skill:
Follow PEP8 Formatting Guidelines
- 1. Function Indentation Basics
  11 mins
- 2. Other Indentation Rules
  6 mins
- 3. Breaking Up Lines
  1 min
- 4. Challenge & Solution: PEP8 in Action
  13 mins
Skill:
PEP8 Naming and Whitespace Conventions
- 1. Basic Whitespace Guidelines
  12 mins
- 2. More Whitespace Guidelines
  15 mins
- 3. Comment Guidelines
  9 mins
- 4. Naming Convention Guidelines
  13 mins
- 5. Challenge & Solution: PEP8 In Action
  7 mins
Skill:
Build Simple GUIs with Tkinter
- 1. Displaying the Main Window
  1 min
- 2. Creating and Adding Widgets
  9 mins
- 3. Challenge & Solution: Fibonacci GUI
  10 mins
Skill:
User Input and Event Handling
- 1. Buttons and Entries
  12 mins
- 2. Checkbuttons and Radiobuttons
  14 mins
- 3. Challenge & Solution: Building a Form
  2 mins
Skill:
Organize Tkinter Interfaces
- 1. Moving Widgets Around with Pack
  12 mins
- 2. Geometry Managers and the Grid Method
  1 min
- 3. Challenge & Solution: Container Widgets
  25 mins
Skill:
Observe Variables and Bind Events
- 1. Hiding Widgets with Observable Variables
  11 mins
- 2. Binding Keyboard Events
  11 mins
- 3. Challenge & Solution: Form Validation
  11 mins
Skill:
Learn the Basics of Widget Styling
- 1. Basic Widget Styling Options
  12 mins
- 2. Borders and Reliefs
  13 mins
- 3. Highlighting Entries
  12 mins
- 4. Challenge & Solution: Styling Playground
  3 mins
Skill:
Learn Advanced Widget Styling
- 1. Creating Simple Shared Styles
  11 mins
- 2. Challenge & Solution: Dark Mode
  14 mins
Skill:
Work with Tkinter Canvas
- 1. Creating and Displaying a Canvas
  7 mins
- 2. Drawing Simple Shapes
  10 mins
- 3. Drawing Text and Images
  11 mins
- 4. Challenge: A Simple Drawing Application
  14 mins
Skill:
Draw Charts and Graphs with Tkinter Canvas
- 1. Draw the Axes
  13 mins
- 2. Draw the Bar Widths
  11 mins
- 3. Draw the Bar Heights
  9 mins
- 4. Draw a Pie Chart
  1 min
- 5. Challenge & Solution: Line Graphs
  2 mins
Skill:
Learn the Basics of Network Requests
- 1. Making Basic Network Requests in Python
  14 mins
- 2. Creating a Simple Server
  15 mins
- 3. Challenge: Go Forth and Practice
  3 mins
Skill:
Build and Utilize REST APIs
- 1. RESTful Basics
  12 mins
- 2. Creating a REST API
  13 mins
- 3. Building Read Endpoints
  13 mins
- 4. Challenge & Solution: Create a Client
  8 mins
Skill:
Learn Intermediate Network Request Concepts
- 1. Adding Extra Request Data
  9 mins
- 2. Handling Request Bodies on the Server-Side
  11 mins
- 3. Including Request Bodies on the Client-Side
  10 mins
- 4. Query Parameter Basics
  14 mins
- 5. Challenge & Solution: Finish the Endpoints
  10 mins
Skill:
Understand Socket Programming
- 1. Creating A Socket Server
  8 mins
- 2. Creating A Socket Client
  7 mins
- 3. Sending Socket Messages
  10 mins
- 4. Keeping Socket Connections Open
  11 mins
- 5. Handling Multiple Clients
  9 mins
- 6. Challenge & Solution: Forwarding Messages
  11 mins
Skill:
Build Effective Socket Applications
- 1. Handling Common Socket Exceptions
  15 mins
- 2. Sending Different Types of Data
  15 mins
- 3. Sending Complex Data Using Pickle
  4 mins
- 4. A Harder Way to Send Data
  7 mins
- 5. Challenge & Solution: Rock, Paper, Scissors
  13 mins
Skill:
Understand the JSON Data Format
- 1. JSON Syntax and Structure Basics
  13 mins
- 2. JSON Data Types
  11 mins
- 3. Loading and Dumping JSON Data with the "json" Module
  1 min
- 4. Challenge & Solution: A JSON Database
  13 mins
Skill:
Understand the XML Data Format
- 1. Representing Data with XML
  1 min
- 2. Parsing and Working with XML Data
  14 mins
- 3. Challenge & Solution: Translating JSON to XML
  9 mins
Skill:
Learn the Basics of SQLite3
- 1. SQLite Basic Concepts
  6 mins
- 2. Creating Tables in SQLite
  8 mins
- 3. Executing SQLite Statements in Python
  1 min
- 4. Inserting Data in SQLite
  7 mins
- 5. Selecting Data in SQLite
  11 mins
- 6. Challenge & Solution: Creating Another Table
  10 mins
Skill:
Learn Intermediate SQLite3
- 1. Deleting Data in SQLite
  12 mins
- 2. Avoiding SQL Injection
  10 mins
- 3. Challenge & Solution: Interactive Product Management System
  15 mins
Skill:
Learn Advanced SQLite3
- 1. Narrowing Queries
  12 mins
- 2. Grouping and Manipulating Query Results
  14 mins
- 3. Narrowing Queries Practice
  13 mins
- 4. Grouping and Manipulating Queries Practice
  14 mins
- 5. Challenge & Solution: More Complex Query Practice
  13 mins
Skill:
Build a Simple Chat Application
- 1. Basic Application Setup
  16 mins
- 2. Implementing the Init Methods
  11 mins
- 3. Receiving and Broadcasting Messages on the Server
  10 mins
- 4. Creating the User Interface
  10 mins
- 5. Implementing the Client-Side Logic
  9 mins
- 6. Challenge & Solution: Adding User Ids
  12 mins
Skill:
Build a Full-Stack Expense Tracker
- 1. Setting Up the Back-end
  9 mins
- 2. Implementing the Load Endpoint with SQLite
  12 mins
- 3. Implementing the Create and Delete Endpoints with SQLite
  10 mins
- 4. Creating the Basic Interface
  12 mins
- 5. Making Requests from the Front-End
  15 mins
- 6. Challenge & Solution: Deleting Expenses
  11 mins
Skill:
Build a Spreadsheet Program, Part I
- 1. Basic Project Setup
  15 mins
- 2. Implementing Cell Behavior
  13 mins
- 3. Adding and Removing Cell Dependencies
  5 mins
- 4. Challenge & Solution: Arithmetic Magic Methods
  12 mins
Skill:
Build a Spreadsheet Program, Part II
- 1. Implementing Spreadsheet Behavior
  7 mins
- 2. Building the Interface
  13 mins
- 3. Making the Cells Update Automatically
  11 mins
- 4. Challenge & Solution: Updating Cells More Efficiently
  13 mins
Skill:
Build a GUI Web-Scraper Tool
- 1. Setting Up the Interface
  8 mins
- 2. Loading and Parsing HTML
  10 mins
- 3. Pulling Data Out Of HTML
  13 mins
- 4. Challenge: Adding and Removing Fields
  9 mins

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Course overview

50 HOURS OF TRAINING

58 SKILLS

339 VIDEOS

0 VIRTUAL LABS

0 PRACTICE EXAMS

Shaun Wassell

Nugget trainer since 2021

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Certified Professional in Python Programming 1 (PCPP1) FAQs: Cost, Training, Value

Is the PCPP1 worth it?

Yes, the Certified Professional in Python Programming (PCPP) certification is worth it – the credential represents broad, advanced familiarity with one of the world's most popular programming languages. Python is so popular because of its incredible versatility: it's used in data science, web development, AI/ML, automation and much more – taking the time to learn Python and earn the PCPP1 is a worthwhile investment in yourself and your career in any number of fields.

How much does the PCPP1 cost?

At the time of this writing, the exam for PCPP1 is PCPP1-32-10x and it costs $195 to attempt. In addition to that, the Certified Associate in Python Programming (PCAP) is a prerequisite for the PCPP, and that certification costs $295. That means the total cost for the PCPP1 is at least $490. Also keep in mind there are two different professional-level Python certs: the PCPP2 (which can only be taken after earning PCPP1) also costs $195.

How difficult is the Certified Professional in Python Programming 1 exam?

The PCPP1 exam is a challenging test of your advanced familiarity with the Python programming language itself as well as your competence deploying the language in complicated use-cases. There will be questions related to using classes, and requiring you to model real-life problems in the OOP categories. You'll need to demonstrate knowledge of best practices and standardization. The test also covers GUI programming, network programming and file processing. Overall, the PCPP1 is a tough exam that's worth preparing for at length.

Does the Certified Professional in Python Programming expire?

No, the Certified Professional in Python Programming certification (PCPP1) doesn't expire. That's highly unusual in the IT credential world, and is probably reflective of how much real-world application and problem-solving is covered by the exam, as well as rote knowledge related to the programming language. The skills you learn in order to pass the PCPP1 exam are more about applying the right technological solution to complicated problems, and those are life-long skills.

Is the PCPP1 an entry-level cert?

No, the PCPP1 is not an entry-level cert, and it probably shouldn't be attempted by someone who doesn't have substantial experience in development generally and Python specifically. There are two earlier certifications: the Certified Associate in Python Programming (PCAP) and Certified Entry-Level Python Programmer (PCEP). PCAP is a prerequisite for PCPP, so you'd have to start with the PCAP no matter what, but brand-new and entry-level developers should seriously consider starting with the PCEP.

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