Certified Entry-Level Python Programmer (PCEP™) Online Training

This entry-level Certified Entry-Level Python Programmer (PCEP™) training prepares junior software developers to write clean and efficient Python code using fundamental programming concepts like data structures, control flow, functions and basic OOP.

Although this course provides thorough education and training on the Python programming language, one of its key benefits is the softer skills related to problem solving and analysis. This course helps you practice a skill crucial to programming and development – breaking down a complex problem into individual pieces and applying the right tool for each one.

The skills, knowledge and experience you gain from this course will help you secure a promotion or a job as a programmer, as will the Certified Entry-Level Python Programmer, which this course is designed to prepare you for.

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

PCEP: What You Need to Know

This PCEP training has videos that cover topics such as:

Writing Python code
Understanding core data structure terminology and concepts
Implementing basic OOP principles

Who Should Take PCEP Training?

This PCEP training is considered foundational-level Python training, which means it was designed for junior software developers. This Python skills course is valuable for new IT professionals with at least a year of experience with software development and experienced junior software developers looking to validate their Python skills.

New or aspiring junior software developers. This course gives brand new software developers a perfect foundation for landing your first Python job. It covers essential Python skills and terminology while giving chances to practice writing clean and efficient code. The projects you'll code in this course will look great in a portfolio and the certification will be great on a resume.

Experienced junior software developers. This is a good course for software developers who have a few years of experience but no formal training in coding. You'll be familiar with most of the concepts on this course, but learning them from the ground up will ensure your foundations are thoroughly covered and you're ready to advance to advanced Python courses or start learning other languages.

Skill:
Introduction to Python
- 1. Overview
  1 min
- 2. Introduction to Network Automation
  7 mins
- 3. Python & Programming
  6 mins
- 4. Linux Setup
  6 mins
- 5. macOS Setup
  5 mins
- 6. Cloning Code from Github
  5 mins
- 7. Cisco DevNet Sandboxes
  5 mins
- 8. Running Our First Script
  2 mins
- 9. Conclusion
  1 min
Skill:
Writing and Running Python Code
- 1. How to Run Python Code
  15 mins
- 2. Basics Python Syntax Concepts
  9 mins
- 3. Declaring Variables
  12 mins
- 4. Naming Variables
  13 mins
- 5. Challenge & Solution: Writing Simple Programs with Variables
  8 mins
Skill:
Python If-Statements
- 1. Getting User Input
  9 mins
- 2. The Basics of If-Statements
  8 mins
- 3. Else and Elif in If-Statements
  1 min
- 4. Nested If-Statements
  5 mins
- 5. Challenge & Solution: If-Statement Exercises
  4 mins
Skill:
Python Loops
- 1. For Loops
  9 mins
- 2. The "break" and "continue" Statements
  8 mins
- 3. Challenge & Solution: Looping Exercises
  15 mins
Skill:
Python Functions
- 1. Defining and Calling Python Functions
  10 mins
- 2. A Few Function Examples
  9 mins
- 3. Function Parameters
  11 mins
- 4. Function Return Values
  9 mins
- 5. Challenge & Solution: Convert Code to Functions
  9 mins
Skill:
Working with Numbers in Python
- 1. Python's 3 Number Types
  11 mins
- 2. Number Types and Arithmetic Operations
  10 mins
- 3. Commonly-Used Number Functions
  1 min
- 4. Challenge & Solution: Number Combinations
  1 min
Skill:
Working with Strings in Python
- 1. Defining Strings
  11 mins
- 2. Combining Strings
  12 mins
- 3. Challenge & Solution: String Exercises
  4 mins
Skill:
Introduction to Python Lists
- 1. Defining Lists
  10 mins
- 2. Accessing and Looping Through List Elements
  11 mins
- 3. Modifying Lists
  12 mins
- 4. Challenge & Solution: List Exercises
  6 mins
Skill:
Python List Operations
- 1. Slicing Python Lists
  11 mins
- 2. Slicing Defaults and Step Sizes
  10 mins
- 3. Challenge & Solution: List Exercises
  5 mins
Skill:
Python Dictionaries
- 1. Defining Dictionaries
  9 mins
- 2. Accessing Dictionary Entries
  11 mins
- 3. Modifying Dictionary Entries
  4 mins
- 4. Challenge & Solution: Dictionary Exercises
  13 mins
Skill:
Introduction to Python Scope
- 1. Python Scope Basics
  11 mins
- 2. The "global" and "nonlocal" Keywords
  14 mins
- 3. Scope Closure
  6 mins
- 4. Challenge & Solution: Closure-Based Counter
  14 mins
Skill:
Parameters and Arguments
- 1. Positional, Keyword, and Mixed Arguments
  11 mins
- 2. Argument Restrictions
  9 mins
- 3. Default and Arbitrary Arguments
  11 mins
- 4. Challenge & Solution: Argument Exercises
  4 mins
Skill:
Python Dictionary Operations
- 1. Accessing Keys, Values, and Entries
  11 mins
- 2. Merging Dictionaries
  12 mins
- 3. Copying and Setting Defaults
  10 mins
- 4. Challenge & Solution: Counting Characters
  8 mins
Skill:
Working with Lists and Dictionaries
- 1. List Comprehensions
  11 mins
- 2. Dictionary Comprehensions
  6 mins
- 3. Challenge & Solution: Comprehension Exercises
  6 mins
Skill:
Python Tuples
- 1. Basics of Tuples
  12 mins
- 2. Challenge & Solution: Tuple Exercises
  11 mins
Skill:
Python Sets
- 1. Basics of Sets
  1 min
- 2. Set Operations
  14 mins
- 3. Challenge & Solution: Using Dictionaries As Sets
  10 mins
Skill:
Working with Multi-Dimensional Lists
- 1. Basics of 2-Dimensional Lists
  11 mins
- 2. Looping Through Multi-Dimensional Lists
  11 mins
- 3. Can Tuples, Dictionaries, and Sets Be Multi-Dimensional?
  13 mins
- 4. Challenge & Solution: Multi-Dimensional List Exercises
  14 mins
Skill:
Python Exception Handling Basics
- 1. Handling Exceptions with Try-Except
  12 mins
- 2. Handling Multiple Exceptions
  10 mins
- 3. Challenge & Solution: User Input with Retry
  15 mins
Skill:
Python Exceptions In-Depth
- 1. Python's Built-In Exceptions
  1 min
- 2. Raising Your Own Exceptions
  11 mins
- 3. Getting Exception Info
  8 mins
- 4. Challenge & Solution: Using the Exception Type
  8 mins
Skill:
Working with Booleans
- 1. Double-Equals vs. "is"
  12 mins
- 2. Short-Circuit Evaluation
  8 mins
- 3. Challenge & Solution: The "any" and "all" Functions
  9 mins
Skill:
Alternative Number Notations
- 1. Binary Notation
  10 mins
- 2. Bitwise Operators
  11 mins
- 3. Octal & Hexadecimal Numbers
  8 mins
- 4. Scientific Notation
  6 mins
- 5. Challenge & Solution: Base Conversion Chart
  2 mins
Skill:
Introduction to PEP8 Recommendations
- 1. Indentation, Line Length, and Blank Lines
  9 mins
- 2. Spacing in Lists, Dictionaries, and Tuples
  10 mins
- 3. Spacing in Functions
  6 mins
- 4. Challenge & Solution: Fixing Code
  12 mins
Skill:
Basic Python Sorting Algorithms
- 1. Selection Sort
  11 mins
- 2. Bubble Sort
  10 mins
- 3. Insertion Sort
  8 mins
- 4. Challenge & Solution: Sorting Other Data Types
  10 mins
Skill:
Building a Console-Based Data Manager
- 1. Project Overview
  7 mins
- 2. Creating Options and Getting Input
  12 mins
- 3. Adding Items to the List
  9 mins
- 4. Challenge & Solution: Removing Items
  8 mins
Skill:
Building a Word Game
- 1. Project Overview & First Steps
  9 mins
- 2. Displaying the User's Progress
  9 mins
- 3. Getting and Validating User Input
  6 mins
- 4. Keeping Track of Turns, Losses, and Victories
  1 min
- 5. Challenge & Solution: Adding Color to the Console
  10 mins
Skill:
Build a Password Generator
- 1. Creating Random Strings
  13 mins
- 2. Incorporating Different Character Types
  11 mins
- 3. An Alternative Solution
  9 mins
- 4. Challenge & Solution: Customizing Character Sets
  10 mins
Skill:
Build a Budget Tracker
- 1. Creating a Program Framework
  9 mins
- 2. Implementing the Actions
  11 mins
- 3. Challenge & Solution: Automatic Exit Option
  6 mins

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How to Run Python Code

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Course overview

20 HOURS OF TRAINING

27 SKILLS

155 VIDEOS

0 VIRTUAL LABS

0 PRACTICE EXAMS

Shaun Wassell

Nugget trainer since 2021

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Certified Entry-Level Python Programmer (PCEP™) FAQs: Cost, Training, Value

What is the PCEP certification and who maintains it?

PCEP (Certified Entry-Level Python Programmer) is a certification from the Python Institute, an independent non-profit which promotes and maintains familiarity with the Python programming language. PCEP is one of Python Institute's many certifications, all of which cover skills in using the Python language across different applications. PCEP is one of their general-purpose certifications, meant for brand new Python programmers or programmers who are experienced with computer programming and getting started with Python.

How much do Python programmers make?

It's almost impossible to put an accurate estimate on how much a Python programmer makes because of how many variables are involved, but data suggests that experienced Python programmers make somewhere between 70k and 120k per year. Where you work, how much experience you have, and what other languages you code in all affect the salary a Python programmer can expect. One thing stays the same: certified experience leads to higher pay.

Is the PCEP certification worth it?

Yes, for coders and back-end developers, the PCEP certification is definitely worth it because it proves your proficiency with an extremely versatile and powerful programming language. The PCEP covers foundational skills with Python, which means earning it requires – but also proves – that you have a solid understanding of backend development. The PCEP certification proves to your employer (or prospective employer) that you understand Python syntax, data types, control structures and functions.

How long is the PCEP certification valid for?

The PCEP certification, once earned, is good for life. You don't need to do any continuing education or additional certifications to maintain your PCEP certification. The skills and knowledge needed to earn the PCEP don't really deteriorate – as long as you keep working in programming, universal computer programming concepts like data types, containers, functions, and loops, and Python programming language syntax, semantics, and environment stay current for professional developers.

Who should take this PCEP course?

This PCEP course is great for anyone who plans on earning the Certified Entry-Level Python Programmer certification from the Python Institute, but that's not necessary. Aspiring programmers who want to better understand programming concepts should take this course. Entry-level software developers, data analysts and testers can learn a lot about their future careers, and non-technical professionals can learn the terminology and processes involved with the software development cycle.

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Certified Entry-Level Python Programmer (PCEP™) FAQs: Cost, Training, Value

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