Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids
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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
Project help
Homework help
Upskilling
Exam prep
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
Note taking
Weekend lessons
Chat for quick help
Parent feedback

Coding concept taught by Steven
The session focused on expanding a chatbot's capabilities using Python by incorporating external libraries for dynamic language translation and integrating data structures (lists and dictionaries) to manage travel destinations. The Student implemented features to add, update, and delete destinations. The next step involves continuing to enhance the chatbot by developing additional functionalities.
Chatbot Interaction Flow and Error Handling
Package Installation using pip
Utilizing Chatbots for Text Translation and Data Management
Data Structures: Lists and Dictionaries for Travel Destinations
Expanding Chatbot Functionality Incrementally
Dynamic Translation with Google Translate
The Student and Tutor collaborated on designing a recruitment tracker spreadsheet in Excel. They discussed database design principles to efficiently manage and link candidate and requisition data. The session concluded with establishing a structure using separate sheets and establishing the links between the sheets.
Spreadsheet Design for Recruitment
Database-Inspired Model: Eliminating Data Duplication
Relationships: One-to-Many
Many-to-Many
Intermediary Table (Child Table)
Primary and Combined Primary Keys
Data Validation and Dropdown Lists
Interface Design and User Experience
The session involved enhancing a chatbot's travel recommendation logic using Python. The student implemented nested conditional statements and ternary operators to refine the chatbot's responses based on user input for budget, activities, and climate preferences. The student also prepared submission files including the code, sample interactions, and explanations of the code logic and challenges faced.
Chatbot Logic and Control Flow
User Input and Data Validation
Modular Programming with Functions
Ternary Operator
Nested Conditional Statements
The session covered data analysis and visualization in Python using xarray, NumPy, and Matplotlib. The Student practiced extracting data from netCDF files, creating plots, and defining custom functions. The session concluded with a discussion on presenting the code in a report format and scheduling the next lesson.
File Formats: netCDF vs. CSV
Importing and Using Libraries
Working with Data Arrays
Data Types and Nanoseconds
Plotting with Matplotlib
Creating Custom Functions
Masking and Filtering Data
The student and tutor worked on an Excel project involving phone configuration data. The student practiced using various Excel functions to calculate total configurations, probabilities, and analyze data based on given parameters and conditions. They also discussed the importance of table structures and proper formula construction for data analysis.
SUMIF and SUMIFS Functions
Product Function in Excel
Combinations and Permutations
Tables in Excel and Structured References
COUNTIF Function
Binomial Distribution
The Student and Tutor discussed mean, median, and mode and how outliers affect these measures, especially in skewed data. The Student practiced creating pivot tables and charts in Excel to analyze sales data, calculate average units sold, and determine the best and worst-selling brands. They also looked at the coefficient of variation to assess sales consistency and will work on creating a dashboard in the next session.
Best Selling Brand Analysis
Coefficient of Variation (COFV)
Pivot Tables: Average Unit Sold
Impact of Outliers
Mean vs. Median
Learner types for coding classes
Coding for Beginners
Coding for School students
Coding for Adults
Coding for College students
Coding for Kids
Steven - Coding tutor also teaches
SQL
Coding for kids
Approach & tools used by coding tutor
Jupyter Notebook
Visual Studio Code
Google Colab

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