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Steven Lawrence

Coding Tutor from Thomas College - Python Lessons for Kids

4.8(32)

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Coding learning materials by Steven
Coding learning materials by Steven
Coding learning materials by Steven
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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!

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Hands-on learning

Students gain confidence applying coding skills to real projects.

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Paired coding for effective learning

90% of students benefit from collaborative lessons.

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Proven success with code projects

85% of students complete personal projects in a few months.

Coding tutor specialities

Assignment help icon

Assignment help

Project help icon

Project help

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Homework help

Upskilling icon

Upskilling

Exam prep icon

Exam prep

Code Optimization icon

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

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Pets are welcomed

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Note taking

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Weekend lessons

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Chat for quick help

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Parent feedback

keyLearning

Coding concept taught by Steven

Student learned 26 days ago

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

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Student learned 26 days ago

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

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Student learned 27 days ago

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

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Student learned about 1 month ago

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

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Student learned about 1 month ago

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

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Student learned about 1 month ago

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

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Learner types for coding classes

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Coding for Beginners

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Coding for School students

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Coding for Adults

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Coding for College students

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Coding for Kids

Steven - Coding tutor also teaches

SQL

SQL

Coding for kids

Coding for kids

Approach & tools used by coding tutor

Jupyter Notebook image

Jupyter Notebook

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Visual Studio Code

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Google Colab

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