1. "Code Whisperer: Crafting Real-World Solutions in Java & Python" 2. "Debugging Dynamo: Unraveling Coding Mysteries with CSS & SQL" 3. "Web Wizard: Navigating HTML & Web Development Adventures" 4. "AI Alchemist: Transforming Concepts into Reality with Artificial Intelligence" 5. "Kid Coding Connoi

Nitheesh and Janvier reviewed Python data structures (lists, tuples, sets, dictionaries, strings), focusing on indexing, methods, and mutability. They then covered slicing, including start, stop, and step values. Nitheesh will assign practice problems combining these concepts with control statements before moving on to functions and modules.

Nitheesh taught Janvier about Python lists and tuples, covering their creation, manipulation, and the differences in mutability. Janvier reviewed a previous assignment on variables and control statements, receiving guidance on specific questions. Nitheesh assigned practice exercises on lists and tuples and scheduled the next session to cover dictionaries, sets, and slicing.

Nitheesh tutored Janvier on Python control statements (`for`, `while`, `break`, `continue`, `range`) and operators. They covered `range` function parameters, loop syntax, integer division, modulus, and the purpose of `break`, `continue`, and `pass` statements. Nitheesh emphasized indentation and practical experimentation. He assigned practice problems and scheduled a follow-up meeting, also assisting Janvier with sharing Python notebooks.

Nitheesh tutored Janvier on Python fundamentals, covering variables, data types (integers, floats, strings, booleans), naming conventions, type casting, and user input using `input()` and `print()`. He demonstrated these concepts in a Jupyter Notebook, emphasizing documentation and descriptive variable names. They discussed using the same concepts in PyCharm and scheduled a follow-up session on comments and control statements.

Nitheesh assisted Janvier in configuring her system for Python-based data analysis, which included installing Python, Miniconda, Jupyter Lab, and PyCharm. Janvier practiced creating and activating a virtual environment and running basic code in both Jupyter Lab and PyCharm. Nitheesh assigned Janvier the task of independently practicing with both environments before the next session, where they will begin learning about Python data types and variables.

Nitheesh tutored Janvier on database normalization concepts (1NF, 2NF, 3NF) using practical examples to explain atomicity and dependencies. They discussed Janvier's progress on previous assignments and scheduled the next class to begin Python lessons, also considering Nitheesh's work schedule. Janvier was assigned an exercise to convert tables from unnormalized form to 3NF.