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




Private tutor - Steven Lawrence
Bachelors degree
/ 30 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!
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.
Coding tutor specialities
Assignment help
Debugging
Code Review
Project help
Job readiness
Code Optimization
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 coding classes
Pets are welcomed
Open Q&A
Note taking
Record lessons
Chat for quick help
Free lesson slots
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Coding concept taught by Steven
Steven guided J. Walter through loading data into MySQL and MongoDB databases, focusing on resolving foreign key constraints and data formatting issues. They used AI to generate datasets for tables like 'teacher', 'class', 'parent contact', and 'student', and practiced SQL queries for data validation. J. Walter exported the MongoDB collections to CSV files and plans to compile the work into a presentation.
GUIDs (Globally Unique Identifiers)
CSV Data Format
JSON Data Format
MongoDB Collections
SELECT MAX()
Foreign Key Constraint
MySQL AUTO_INCREMENT
Steven helped Ashley troubleshoot and improve her Excel costing template by fixing data validation issues, implementing error handling for dropdown lists, and discussing spreadsheet design for multiple users. They converted data to tables, used named ranges, and implemented the `IFERROR` function. Ashley plans to tidy up the spreadsheet, implement shaded areas for user clarity, and create a summary sheet by Monday.
Excel Tables
IFERROR Function
VLOOKUP vs. XLOOKUP
Named Range
Data Validation
Steven guided an individual on setting up and troubleshooting an Excel property management tool. The learner, who resides in High Point, received assistance with macros, adding a new property, logging an expense, and customizing the default save path. They will practice using the tool and schedule another lesson if further issues arise.
Expense Logging
Excel File Unblocking
Property Addition in Excel Tool
Default Save Path
Steven and Bol collaborated on a Python assignment focused on data analysis. During their work, they successfully imported data from a text file using the NumPy library and proceeded to extract specific columns. They also initiated the visualization process with Matplotlib and began segmenting the data for deeper insights, intending to pick up where they left off in their upcoming lesson.
numpy.genfromtxt
Tab-Delimited Files
Column Indexing (0-based)
matplotlib.pyplot
Steven and Ashley collaborated on refining Ashley's Excel costing template, focusing on correcting SUM formulas, implementing conditional formatting for variance display, and using data validation for dropdown lists. Steven introduced VBA to create an auto-save macro and they saved the file as an XLSM. Ashley was assigned homework to apply the learned formatting and formula corrections throughout the rest of the spreadsheet, and they scheduled another session for the next day.
Relative Referencing
Conditional Formatting
VBA (Visual Basic for Applications)
IF Statement Logic
SUM Function
Steven and J. Walter Urey delved into MySQL database operations, practicing counting, inserting, updating, and deleting records. Following this, they transitioned to MongoDB, where they focused on designing a database schema, executing CRUD operations, and exporting data. They also explored the schemaless characteristic of MongoDB and its inherent flexibility for data handling. Their upcoming lesson is set for Tuesday, with the goal of importing a data set into the database.
MongoDB Schemaless Design
CRUD Operations
SQL INSERT Statement
SQL COUNT() Function
Learner types for coding classes
Coding for Adults
Coding for College students
Coding for School students
Coding for Beginners
Coding for Kids
Steven - Coding tutor also teaches
SQL
Coding for kids
Approach & tools used by coding tutor
Visual Studio Code
Google Colab
Jupyter Notebook

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