Python PCEP: Become Certified Entry-Level Python Programmer

Explore data types and variables in Python, and see how Python assigns a type based on the value. Identify and convert among primary data types—int, float, string, bool, none type.

Learn how to declare and name variables in Python, understand data types, naming rules, and best practices for descriptive, lowercase identifiers, and how to update and reuse variables.

Master integers and floats in Python, from whole numbers to decimals and scientific notation. Learn core arithmetic—addition, subtraction, multiplication, division, and exponentiation—and note binary representation and precision quirks.

Create and print strings in Python using single, double, and triple quotes, including multi-line strings. Understand how printing combines multiple strings with spaces and how to check string types.

Master string concatenation and escape sequences in Python by combining strings with plus, using backslash escapes for newlines, tabs, quotes, and printing formatted messages.

Explore booleans as Python's true/false data type and reserved keywords. Learn how booleans drive program logic, control if else decisions, and are produced by expressions.

Explore explicit and implicit type casting in Python, converting int, float, str, and bool, handling numeric strings, and build a simple calculator using input and typecasting.

Explore arithmetic operators, division as float, modulus, and exponentiation in Python, then cover assignment, comparison, logical, and bitwise operators and operator precedence, plus a mini lab.

Write a Python program that takes two numbers as input, converts them to float, and computes addition, subtraction, multiplication, division, modulus, and exponentiation, then prints the results clearly.

Learn how assignment operators in Python assign and update values efficiently, covering =, +=, -=, *=, /=, %= on int and float, with shorter, clearer code often used in loops.

Master Python comparison operators, including ==, !=, >, <, >=, <=, and their boolean results across data types, and apply them in conditions while avoiding type and syntax mistakes.

Explore python logical operators and, or, and not to combine boolean expressions with comparison operators. Learn from truth tables and examples, and avoid common pitfalls with complex expressions.

Explore bitwise operators in Python, learning how they operate on the binary level with integers, including and, or, not, and practical examples like a=5 and b=3.

Explore Python operator precedence and grouping with parentheses to control evaluation order, using math-like rules, common pitfalls, and clear examples with logical expressions.

Explore boolean expressions, operator precedence, and grouping with parentheses through a hands-on mini lab, predicting and testing outputs using not, and, or in Python.

Build a simple Celsius to Fahrenheit converter in Python using input, float conversion, and the formula (C * 9/5 + 32) with parentheses, then print the result.

Master Python if statements and conditional logic by using if, else, and nested if statements, while recognizing truthy and falsy values and the critical role of indentation.

Learn how to use the else statement with an if condition to run alternative code when the condition is false, and ensure proper indentation and a single else per if.

Explore the elif keyword in Python, a shortcut for else if, to check multiple conditions from top to bottom and stop at the first true condition.

Build a simple grid grade evaluator in Python using if-else statements to assign letter grades from marks, print the results, and explore optional user input in VSCode.

Explore nested if statements in Python, with multi-layer decisions like login and roles. Apply best practices: keep nesting shallow, and use and/or to flatten conditions, with clear comments.

Learn truthy and falsy values in Python within boolean contexts. Identify how non-zero numbers, non-empty strings or lists, and empty containers influence condition evaluation.

Develop a Python age checker using nested if statements to categorize ages as child, teenager, adult, or senior with text output and VS Code testing.

Build an age-based movie ticket price calculator using nested if/elif statements to apply discounts for under 8, 8–14, 14–18, and over 65, with optional discount cards.

Master the while loop in Python, its condition-driven repetition, and how to avoid infinite loops. Compare it with if statements and explore for loops, the range function, and loop control.

Explore infinite loops, learn how to break them with a break statement, and use user input and condition checks to exit while loops safely.

Create a Python countdown timer with a while loop using the time package. Initialize a counter, print each value, sleep for one second, then print Time is up.

Explore Python for loops by iterating over sequences like strings, lists, tuples, and ranges, using the syntax for item in sequence to process each element.

Explore how Python's range function generates number sequences for for loops, with start, stop, and step parameters. Learn zero-based counting, negative steps, and practical examples like counting and countdowns.

Explore Python loop control statements: break, continue, and pass to manage for and while loops, exit early, skip iterations, or serve as placeholders.

Explore nested loops and loop design patterns in Python to generate two-dimensional data structures like grids and matrices, learn how the inner and outer loops interact, and optimize iterations.

Perform a mini lab to print a multiplication table with nested loops in Python, using range(1,6) for rows and columns, and printing products with a tab between values.

build a random number guessing game where the user guesses a secret number between 0 and 20 using a while loop and break, with higher or lower hints.

Explore how functions are named blocks of code with input, processing, and output, and why they improve usability, reusability, and the distinction between built-in and user-defined functions.

Define a function in python with def, a name, optional parameters, and a colon. Indent the body and call the function by name with parentheses to execute it.

Develop a Python function to multiply two numbers with two parameters using the define keyword, then call it with sample values and print the results to reinforce basic function usage.

Explore how function parameters act as placeholders and how arguments supply values, including positional, keyword, and default parameters, to build reusable code, and clarify the difference between parameters and arguments.

Understand how the return statement sends a function's result back to the caller and ends execution. Save the output in a variable and reuse it later, instead of printing.

Create a function in a new file that returns the area of a circle using pi = 3.14 and a given radius, then print the result.

Explore Python variable scope, distinguishing local scope inside a function from global scope outside it, learn how to use the global keyword to update globals, and understand the same-name caveat.

Explore recursion as a function that calls itself on smaller inputs, with a base case and a recursive case. Show a sum example and the risk of stack overflow.

Write a recursive Python function to calculate a factorial, defining a base case for zero and a recursive step using factorial(n-1); test in VS Code.

Write a function to determine if a number is even or odd using the modulus operator, returning 'even' or 'odd' based on divisibility by two, with examples and zero handling.

Master Python lists as ordered, mutable collections of values. Create lists with square brackets, access elements by zero-based indices, and include mixed data types or empty lists.

Explore essential Python list methods such as append, insert, remove, pop, index, count, sort, and reverse to manipulate lists and understand how they mutate data.

Explore slicing and iterating over lists using start, stop, and step, including negative indices, for loops, and length, and learn how in-place updates require reassignment to modify the list.

Build a simple Python grocery list app that lets users enter items, prevents duplicates, displays the final numbered list, and loops until the user enters exit.

Learn how Python tuples are immutable data structures defined with parentheses. See how their immutability enables storing multiple data types and enhances performance for dictionary keys.

Explore Python dictionaries as key–value pair collections with unique, immutable keys and values of any type. Learn to create, access, and nest dictionaries and lists for multi-student data.

Learn to add, remove, and update dictionary elements using keys in Python, leveraging dictionary mutability. See how assigning to a key creates or overwrites entries and how del removes keys.

Create a contact book using dictionaries in Python, adding and searching contacts via a menu, storing names as keys and numbers as values, and printing results.

Explore sets in Python: an unordered collection of unique elements that cannot be indexed, is mutable, and supports adding or removing items; convert other collections to sets to remove duplicates.

Use sets to remove duplicates from a Python list by converting to a set and back to a list, illustrated with a concrete numeric example and a one-line solution.

Design and implement a Python to-do list manager that stores tasks as dictionaries and lets users view tasks, add new tasks, and mark tasks as complete via a menu-driven interface.

Learn how the input() function captures user data as a string and uses prompts with print. Convert types, such as to int, to handle common input errors in Python.

Master printing output in Python using the print() function and variable values. Learn string formatting with f-strings introduced in Python 3.6+, proper concatenation, and formatting numbers for clean, readable output.

Explore escape characters and multi-line strings in Python by printing formatted text with tabs, newlines, and quotes, and by defining multi-line strings with triple quotes.

Explore Python errors such as syntax error, name error, type error, and value error, and learn how to use a try-except block to handle them gracefully and keep programs running.

Create a simple login prompt in Python using input and output, validating a username and pin password within a while loop and printing login status messages.

Create a simple quiz app in Python that asks 2–3 questions via input with multiple-choice options. Learn to define questions, present choices, compare answers, and track the final score.

Explore the pcep exam format, 30 questions in 45 minutes online, with 70% passing, and topics from installation to error handling, including data types, operators, and control flow.

Follow the official Python Institute syllabus, track topics, and practice daily with beginner projects to build proficiency, avoiding common mistakes like skipping practice and ignoring errors.

Learn to approach coding challenges by understanding the problem, breaking it into inputs and outputs, planning with pseudocode, and testing edge cases on HackerRank and CodingBat.

Plan your next steps after this course by pursuing PCAP certification, exploring object oriented programming, modules, and file operations, then build real world projects with GitHub and prepare for freelancing.