Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids




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Steven Lawrence
Bachelors degree
/ 55 min
About your coding tutor - Steven
I am an experienced programmer with a passion for problem-solving and software development. With years of coding experience across multiple languages, including Python, I specialize in breaking down complex problems into clear, logical steps. My ability to analyze challenges and develop efficient solutions has helped me create robust applications, automate tasks, and optimize workflows. One of my key strengths is visualizing code execution—understanding how each function interacts within a system before implementation. This skill is especially valuable in Python, where data structures, algorithms, and logic flow play a critical role in building scalable solutions. I teach my students how to think beyond individual lines of code, helping them develop a strategic mindset for efficient programming. My structured six-lesson series is designed to prepare students for professional coding roles. Whether you’re aiming to start a career in tech or refine your programming skills, my approach ensures you gain a deep understanding of problem-solving strategies, debugging techniques, and real-world applications—especially in Python, one of the most versatile and powerful languages in the industry. If you’re looking for a tutor who can simplify programming, strengthen problem-solving abilities, and help you visualize what happens when code is executed, I’d love to work with you!
Coding tutor specialities
Homework help
Project help
Assignment help
Job readiness
Upskilling
Code Optimization
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner types for coding classes
Coding for adults
Coding for kids
Coding for beginners
Coding class highlights
Programming is more than just writing code—it’s about designing solutions that are efficient, scalable, and adaptable. While implementation is important, code design is the foundation of a well-structured program. A strong design ensures code remains maintainable and capable of handling real-world challenges. I structure my teaching approach around three key steps: WHAT, WHY, and HOW. WHAT – We define the problem and establish business rules that shape the project. Clear objectives ensure smart design choices. WHY – We analyze the purpose behind each function or system. Understanding why a solution is needed guides decision-making. HOW – With the what and why established, we write clean, optimized code with confidence, prioritizing architecture over rushed implementation. I foster a relaxed, interactive learning environment where students feel comfortable asking questions and developing creative solutions. My lessons are project-based, focusing on topics that genuinely inspire each student—whether it's automation, data analysis, or web applications using Python. By prioritizing code design first, students gain the ability to visualize how their code functions before writing it. This leads to cleaner, more efficient programs that stand the test of time. My goal is to help students master the thought process behind coding, ensuring long-term success in any tech career.
Hands-on learning
Students gain confidence applying coding skills to real projects.
Paired coding for effective learning
90% of students benefit from collaborative lessons.
Proven success with code projects
85% of students complete personal projects in a few months.
Steven - Coding tutor also teaches
Coding for kids
SQL

Coding concepts taught by Steven
The Student and Tutor worked on an Excel file to analyze Robinhood stock transactions for tax purposes. They focused on extracting stock prices, integrating them using XLOOKUP, and applying complex conditional formulas to calculate taxable and untaxable gains/losses. The Student plans to review the calculated figures and formulas with their accountant for verification.
Excel Data Transformation: Text to Columns
Efficient Data Lookup: XLOOKUP Function
Advanced Conditional Logic: Calculating Taxable Gain/Loss with IFS
Excel Data Organization & Formatting for Financial Analysis
File Formats: CSV vs. XLSX in Data Handling
Leveraging AI for Financial Data Retrieval
The Student and Tutor reviewed core Python concepts, including variables, various arithmetic and logical operators, and the `print()` function. The session included practical examples and discussions on comparison and logical operations, preparing the Student for hands-on coding. As follow-up, the Student was tasked with installing Python and VS Code and preparing a simple project idea for their next class.
Identity and Membership Operators
The `len()` Function and Boolean Values
Relational (Comparison) Operators
Advanced Division & Modulo
Basic Arithmetic Operators
Variables and Assignment
Logical Operators (`and`
`or`
The Student and Tutor continued building an Excel spreadsheet to calculate stock gains and losses for tax reporting, specifically focusing on distinguishing between total gains and taxable gains prior to January 1, 2025. They developed and refined formulas using `SEARCH`, `LEFT`, and `IF` functions to extract data and apply conditional logic for financial calculations. The Student will continue populating another spreadsheet, and they plan to meet again to continue refining the analysis.
Conditional Logic for Taxable Gains (IF Function)
Aggregating Data with SUMIFS (Concept Introduced)
Understanding Excel File Types (CSV vs. XLSX)
Calculating Gain/Loss Per Share
Extracting Numeric Data from Text (LEFT & SEARCH Functions)
Excel Data Auto-Fitting
The Tutor introduced fundamental Python programming concepts including functions, basic arithmetic operators, and data types. The Student practiced using the `print()` function for output, performing calculations, and understanding the difference between data types like integers and strings. The session concluded with an introduction to variables, emphasizing their role in storing and manipulating data dynamically, and the Tutor offered to share resources for setting up a Python development environment.
Variables
Data Types
Basic Arithmetic Operators
The Print Function
The Student and Tutor worked through complex Excel formulas, focusing on dynamic data analysis using functions like FILTER, XLOOKUP, and IF.ERROR. They practiced building flexible models with checkboxes for scenario planning and discussed best practices for creating reusable spreadsheet solutions, aiming to improve efficiency and reduce errors in future analyses. The next session will continue exploring these concepts.
VLOOKUP vs. XLOOKUP
Dynamic Array Functions (FILTER
ROWS)
Avoiding Hardcoding with Named Ranges and Cell References
Nesting Functions (IFERROR
SUM
CHOOSE.COLUMNS)
Understanding 'Spill' Errors
The tutor introduced a beginner student to Python programming, focusing on data cleaning techniques using a practical example. The student learned about identifying and resolving data inconsistencies, missing values, and formatting issues in a CSV file through a Python script, with plans to continue with further lessons.
What is "Dirty Data"?
Python for Data Cleaning: Core Operations
The Data Lifecycle: From Raw to Insight
Approach & tools used by coding tutor
Jupyter Notebook
Google Colab
Visual Studio Code
Hands-on coding classes
Pets are welcomed
Note taking
Weekend lessons
Parent feedback
Open Q&A

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