Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids
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Steven Lawrence
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
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
Assignment help
Code Review
Job readiness
Debugging
Project help
Learner types for coding classes
Coding for Adults
Coding for College students
Coding for School students
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
SQL
Coding for kids
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Coding concepts taught by Steven
The Tutor and Student reviewed advanced Excel spreadsheet techniques, focusing on optimizing calculations, dynamic adjustments using functions and cell references, and data protection. They practiced improving existing sheet logic and explored the capabilities of `Goal Seek`, discussing its advantages and limitations compared to custom formulas. The next session will continue to build on optimization ideas.
Excel Functions vs. Formulas
Goal Seek and Its Limitations
Protecting Sheets and Cells
Accounting vs. Currency Number Formatting
The student and tutor worked on structuring an Excel-based maintenance management system. They refined the 'Equipment List,' 'Maintenance Plan,' and 'Maintenance Log' sheets, focusing on data organization, unique identifiers, and formula-driven calculations for service dates. Future steps involve developing a dashboard and maintenance alerts, and addressing template file management in SharePoint.
Entities and Attributes in Data Management
Database Structure for Maintenance Logs
Data Consistency and Unique Identifiers
Automated Maintenance Scheduling and Alerts
The student and tutor worked on advanced Excel techniques, including data validation for restricting input and handling time-based calculations across midnight. They also practiced restructuring data and creating line charts for expense visualization, with the tutor explaining the importance of data formatting for effective charting.
Handling Time Calculations Across Midnight
Data Validation for Input Control
Pivot Table Data Aggregation
Chart Data Restructuring for Clarity
The Student and Tutor worked on implementing dynamic dependent dropdowns in Google Sheets, exploring the limitations of formula-based approaches. They then pivoted to discuss advanced data management techniques, focusing on Google Sheets' 'Filter Views' as a more efficient way to present different data perspectives without creating multiple sheets, which was presented as a potential solution for the student's task management system.
Dependent Dropdowns in Google Sheets
Google Sheets Macros vs. Excel VBA
Filter Views in Google Sheets
The tutor and student discussed the development of tiered features for a software tool, focusing on implementing basic, standard, and premium options. They explored strategies for handling customization, trials, and potential multi-user functionalities, with plans to continue development on Wednesdays.
Database Integration for Multi-User Access
Subscription and Renewal Management
Monetization Strategies: Trials and Codes
Feature Tiering and Customization
The tutor and student covered several Excel functionalities, including data validation for dropdown lists, the creation and manipulation of pivot tables for data summarization, and an overview of dashboard concepts. They also briefly touched upon SQL as a database query language, with plans to potentially explore SQL further in future sessions.
Dynamic Named Ranges with Tables
Pivot Tables: Data Summarization and Analysis
Data Integrity and Validation
Data Validation: Dropdown Lists
Approach & tools used by coding tutor
Google Colab
Visual Studio Code
Jupyter Notebook
Hands-on coding classes
Parent feedback
Note taking
Pets are welcomed
Record lessons
Weekend lessons

Programming tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
