Coding for Beginners 1: You Can Learn to Code!

Explore how coding is giving instructions, using pseudocode to guide a robot from shop to house, and see that programming follows clear steps like Python code.

Recap that coding is the practice of giving instructions in a computer language using logical steps, with pseudocode and Python shown to make text coding approachable.

Explore what code is, why we need it, and how front end and back end development use HTML, CSS, JavaScript, Python, and stacks to build software.

Explore common coding concepts through theory and practical demonstrations in Scratch and Python, covering pseudocode, decomposing, commenting, data types, arithmetic, loops, control flow, lists, and functions.

Scratch teaches beginners to code by dragging blocks to create scripts that control sprites on a stage with costumes and sounds, and you can sign up, save projects, and remix.

Discover how code runs from top to bottom and left to right, in Scratch and Python, using print statements, delays with time.sleep, and the IDLE shell and console.

Learn to spot, diagnose, and fix bugs through frequent testing, from typos and syntax errors to unwanted behavior. Scratch examples and Python debugging essentials reinforce the lessons.

Learn how pseudocode, an informal, language-agnostic draft using everyday language, outlines a program's flow, helps choose the most suitable coding language, and enables planning before real coding.

Decompose tasks into smaller subtasks to plan work, estimate effort, and reduce bugs. Recompose with details and order, or use pseudocode, to understand subtasks and design software, apps, and games.

Write clean, well-structured code that is easy to understand, and use comments to explain key ideas, support collaboration, and guide future maintenance across languages like CSS, Scratch, and Python.

Explore common data types—numbers, strings, and booleans—and learn how integers and floats differ, with Scratch and Python examples that manipulate data and check conditions to control flow.

Explore arithmetic and operators in code, including plus, minus, multiply, divide, string concatenation, comparison and logical operators, order of operations, with Scratch and Python examples and real-world applications.

Explore how loops streamline code, from Scratch and Python examples, by repeating actions, avoiding infinite loops, and iterating over lists like a shopping list.

Learn how to use control flow to make programs decide with conditionals, if-else, and loops in Scratch and Python. Explore debugging, variables, and simple game examples.

Use variables to store data that changes during a program, with Scratch and Python examples. Initialize, assign, retrieve, and update numbers, strings, and booleans, including increments.

Discover how lists organize data in Scratch and Python, covering one- and two-dimensional lists, indexing, length, and common operations like add, replace, and append.

Explore functions as reusable, modular blocks that take arguments, execute a body, and return results, illustrated with Scratch demos like fortune cookie, color guesses, and a square root calculator.

Recap core coding concepts like code flow, blocks, bugs and debugging, pseudocode, decomposition, commenting, data types, operators, loops, conditionals, storage, lists, and functions.

Use hands-on app building to integrate core coding concepts, decompose and plan the project, and practice Scratch, Go, and Python with value proposition design and agile development.

Explore value proposition design by identifying a real problem—meal planning fatigue—and test a solution idea, Munch, via a lean roadmap from proof of concept in scratch to a Python MVP.

Design a meal-planning concept for Munch with two core features: choosing cheese dishes for a user-specified number of days and listing ingredients to assemble a shopping list.

Plan meals for a user-specified number of days by selecting random, non-repeating dishes from a liked list to form a my menu, and optionally generate a shopping list of ingredients.

Apply agile development to turn a pseudocode plan into a working proof of concept by building and testing an MVP in incremental steps, adapting as needed for value and usability.

Delete an on-stage sprite, add a new sprite, explore costumes, and note that each sprite has its own script area for a simple one-script program.

Launch the opening dialogue by renaming the sprite, using a say block to introduce munch, then ask for days with an ask-and-wait block and store the answer to plan dinners.

Join text strings with the join blocks, insert user input, and dynamically generate dinner plans from your meals list while managing spaces and singular and plural forms.

Create a food we like list and code a proof-of-concept function to select the required number of dishes while validating user input to handle zero, excess, and invalid entries.

Populate the food we like list by adding items with the plus button, including pizza and burgers, then uncheck to hide it.

Create the my menu list and define a custom choose dishes function to fill it with user-selected dishes for the week, using a single argument.

learn to pick a random dish from food we like list, save as chosen dish, ensure it isn’t already in my menu, and repeat until reaching needed number of dishes.

Check if the chosen item is not in my menu using the not operator, then add it to my menu; test with random selections to confirm uniqueness.

Learn to use a repeat until loop to generate seven unique menu items for a Munch app, tracking chosen dishes and clearing the list for dynamic, days-based testing.

Wire the two dishes function block under the script to call choose dishes after capturing the answer, then hide and show my menu and handle zero or unrecognized input gracefully.

Explore a proof-of-concept munch app that randomly plans a weekly menu from your favorite meals and generates a shopping list of required ingredients.

Code a dialogue-driven proof of concept for beginners that picks a random favorite dish from a menu, reuses existing code with a join operation, and tests the shopping list feature.

Explore adding shopping list functionality with control flow and conditionals, using an answer variable and yes/no inputs (press 1 for yes), including testing, edge cases, and if-else refactoring.

Create a build shopping list function in Scratch and call it when the user says yes, then populate a master shopping list from ingredients of each dish in my menu.

Create a shopping list and per-dish ingredient lists, starting with pizza, and differentiate dish lists from ingredient lists while coding along and populating ingredients like pizza base and sauce.

Build the shopping list by moving required ingredients from ingredient sub lists into the main shopping list, only for dishes in my menu, while noting duplicates.

Adding ingredients to myShoppingList logic: decompose the feature into steps, check the menu, copy ingredients, and test with pizza as a sample.

Refactor the shopping list build to add each ingredient individually by looping over the ingredient list using an index and the list length, instead of concatenating into a single string.

Extend buildShoppingList to cover all dishes by duplicating conditional checks, test with two meals, and generate a shopping list with ingredients; learn about duplication pitfalls and plan MVP in Python.

Code the Munch app MVP version 0.1 in Python to plan dinners, define functions and lists, randomly select dishes, and prepare a shopping list, all in the console.

Explore MVP part two by building a user-driven shopping list with input prompts and conditionals, then modularize with functions, for loops, and 2D lists while refining output formatting.

Learn how to turn coding theory into practice by decomposing problems, sketching plans with pseudocode, and building a minimum viable product in Scratch and Python.

Celebrate completing the coding for beginners course and confirm you can understand coding concepts and call yourself a coder. Explore Scratch and Python interfaces, plus bonus resources to continue learning.

Explore bonus content, three small coding tasks to progressively improve munch, with solutions, plus a resources page offering free scratch and Python projects, editors, questions, and docs.