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Python class in Brisbane, QL

Python tutor in Brisbane for kids, beginners, and projects

Tutoring

Tutoring

Learn Python step by step with expert guidance

Upskilling

Upskilling

Advance your Python skills with targeted learning lessons

Job readiness

Job readiness

Learn Python for career ready coding & interviews

Assignment help

Assignment help

Complete Python projects with step by step support

Beginner level

Beginner level

Learn the Python basics through step by step help

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Python classes with tutor support in Brisbane

Tutoring active in Sunnybank, Mount Gravatt, Indooroopilly

Alexey taught James 4 months ago

Al Nikolov tutored J.C. in Python, covering fundamental concepts like variables, assignment, expressions, and function calls using a "demo.py" script and the `input()` function. Al introduced the VS Code debugger and suggested Conway's Game of Life as a practice project. They also discussed a robot programming exercise. J.C. will install VS Code, and their next session is scheduled for Thursday at 12:30 PM CDT. Version control will be addressed later.

Programs

Variables

Assignment Statements

Functions

Function Calls

Functional Strings

Debugging

Game of Life

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Steven taught Edward 4 months ago

Steven Lawrence tutored E.T. on advanced VBA techniques, including error handling, custom error logging, and different types of loops. E.T. received an assignment to create a VBA program that uses a `For` loop to validate data, track results, and log errors, with Steven providing a sample dataset. They scheduled a follow-up session for July 31st to review the assignment.

Data Validation in Excel

Using AI for Code Generation

Efficient Coding Practices

Logging in VBA

Error Handling in VBA

For Loops in VBA

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Steven taught Olivia 4 months ago

Steven and Olivia collaborated on a Python assignment about image compression. They are debugging their code to accurately calculate and compare the file sizes of an original and compressed flower image. They discuss the image array transformations and normalization process, ultimately concluding that compression yields a small space saving on their current image but would be more effective on larger images.

File Size and Bytes

Image Compression

Multi-dimensional Arrays

RGB Color Model

K-Means Clustering

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Steven taught Edward 5 months ago

Steven Lawrence tutored E.T. on Excel VBA macros, covering recording, editing, and debugging. They analyzed the inefficiencies of recorded macros and explored best practices for writing more efficient VBA code, including referencing worksheets correctly and using debugging tools. They also discussed exporting modules for use in other workbooks and scheduled the next lesson to focus on variables and data types.

Useless recorded code

Variable Declaration

VBA Module Renaming

Macro Recording Inefficiency

Worksheet Object Referencing

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Aravind taught KC 5 months ago

Aravind and Janine had their first session, where Aravind introduced Janine to the fundamentals of programming using Python. They covered variables, data types, control structures, functions, data structures, object-oriented programming, algorithms, error handling, I/O, comments, and debugging. They plan to practice the concepts in the next session, and Janine will confirm the schedule, considering her upcoming travel.

Functions

Input and Output

Debugging

Comments and Documentation

Error Handling

Control Structures

Algorithms

Object-Oriented Programming (OOP)

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Steven taught Casey 5 months ago

Stephen and Casey collaborated on a Python project designed to analyze event locations using attendance and ticket price data. Stephen walked Casey through the code, explaining how it collects data, performs calculations, and stores the results in a dictionary. They identified a bug in the city comparisons and planned to review the code again tomorrow, with Stephen also offering to teach Casey Python in future sessions.

User Input in Python

Loops for Data Collection

Mean and Standard Deviation

Cloud-Based Python Environments

Python Dictionaries

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Learning Python in Brisbane

Debunking common myths

Debunking common myths

Python is one of the most valuable and beginner-friendly programming languages, but many students and career switchers in Brisbane hesitate to learn it because of a few persistent myths. Whether you’re studying at university, taking an online course, or starting from scratch, here’s what you should really know.


Myth 1: "You need a computer science degree to learn Python"

Myth 1: "You need a computer science degree to learn Python"

Not true. While Python is taught at the University of Queensland, QUT, and Griffith University as part of computer science and data analytics degrees, it’s also used in fields like marketing, business intelligence, engineering, and science. Python’s simple syntax makes it accessible for students from all backgrounds.

Professionals in suburbs like Indooroopilly or South Bank often learn Python through short courses or part-time study. Whether you’re analysing spreadsheets, building dashboards, or writing simple scripts, Python is a tool you can learn without needing a technical degree.
 


Myth 2: "Python is only useful for developers"

Myth 2: "Python is only useful for developers"

Python is popular among developers, but it’s used far beyond software engineering. In Brisbane’s growing health tech, sustainability, and education sectors, Python is often used for data cleaning, automation, and basic scripting.

From building machine learning models at research centres in Herston to automating reports in offices around Fortitude Valley, Python shows up in many roles. It supports data analysts, project managers, UX researchers, and even teachers creating custom learning tools.
 


Myth 3: "If you don’t get it right away, coding isn’t for you"

Myth 3: "If you don’t get it right away, coding isn’t for you"

Learning Python takes time, and it’s okay to be stuck. Many Brisbane learners think they need to understand loops and functions immediately or else they’re not “tech-minded.” The truth is, even university students struggle with debugging and logic errors.

Progress comes through practice, asking questions, and using the right resources. Platforms like Codecademy and free datasets from Queensland Government portals are a great starting point. For those who need more structure, tutoring is just one option to help break through the early confusion.
 

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