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1st lesson free
- Python
Learn Python from scratch to advanced through interactive 1-on-1 sessions, building 2 complete real-world portfolio projects.
- Python
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About Hemant
Hello! I am a passionate programmer and educator dedicated to making Python simple, logical, and accessible for everyone. Coding can feel intimidating at first, but with clear conceptual explanations, structured practice, and real-world implementation, anyone can master it. My goal is to guide students step by step through fundamentals all the way to building complete, portfolio-ready projects. I focus on developing strong problem-solving habits and clean coding standards so my students become truly self-reliant developers.
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About the lesson
- Primary
- Secondary
- GCSE
- +15
levels :
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- English
All languages in which the lesson is available :
English
Complete Python Mastery Curriculum
Module 1: Python Fundamentals & Logic
Environment Setup: Installing Python, VS Code, virtual environments, and running scripts.
Core Syntax & Variables: Dynamic typing, naming conventions, strings, integers, floats, and booleans.
Operators & Expressions: Arithmetic, logical, and comparison operators.
Control Flow: Conditional branching (if, elif, else) and nested logic.
Loops & Iteration: while and for loops, range generation, and loop control (break, continue).
Module 2: Data Structures & Text Manipulation
Collections Deep Dive: Lists, tuples, sets, and dictionaries (methods, mutability, indexing, slicing).
String Processing: String formatting (f-strings), regex patterns, and string parsing methods.
List Comprehensions: Writing idiomatic Python for list, dictionary, and set generation.
Algorithms & Logic Building: Implementing sorting, searching, and algorithm-based problem sets.
Module 3: Functions, Modularity & Error Handling
Function Architecture: Defining functions, *args, **kwargs, default parameters, and scope rules.
Functional Concepts: Lambda functions, map(), filter(), and recursion fundamentals.
File I/O: Reading, writing, and parsing text and CSV files with context managers (with open).
Robust Error Handling: Defensive coding using try, except, else, and finally.
Module 4: Object-Oriented Programming (OOP)
Classes & Objects: Attributes, instantiation, and the role of self.
Dunder (Magic) Methods: Customizing object behaviors with __init__, __str__, __repr__, and __len__.
Core OOP Principles: Encapsulation, inheritance, polymorphism, and abstraction.
Code Architecture: Organizing projects across multiple modules and packages.
Capstone Projects (Portfolio Deliverables)
Project 1: Automated Expense Tracker & Budget Manager (CLI)
Concepts Applied: OOP, file persistence (CSV/JSON), input validation, custom exception handling.
Outcome: A terminal-based tool that categorizes expenses, tracks savings goals, and outputs financial summaries.
Project 2: Scientific Data Analyzer & Visualizer
Concepts Applied: External API consumption, data manipulation, algorithm design, file processing.
Outcome: A script that fetches live external data (weather, crypto, or stocks), parses it, calculates descriptive metrics, and exports reports.
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Rates
Rate
- £4
Pack prices
- 5h: £20
- 10h: £40
free lessons
The first free lesson with Hemant will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- £4/h
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