Are you looking for the best Python tutor for your child? Python programming is an essential skill that can significantly enhance your child's coding and problem-solving abilities. Our expert tutors provide personalized coaching to help your child build confidence, improve coding skills, and master the art of Python programming. Our Python curriculum is designed to cater to students of all ages and skill levels, ensuring they develop the skills needed to excel in various programming projects. Whether you are in New York in the United States or any other part of the world, your child is just a click away from learning proficient and advanced Python programming skills. Following is our detailed curriculum to help you better understand the program.

Python Syllabus – Structured in Levels

Level 1: Beginner (Fundamentals of Python)

1. Introduction to Python
History and Features of Python
Setting up Python (Installation & IDEs: IDLE, VS Code, PyCharm, Jupyter Notebook)
Running Python Scripts (Interactive & Script Mode)
2. Python Basics
Writing and executing Python scripts
Variables and Data Types (int, float, str, bool, NoneType)
Type Conversion and Type Casting
Basic Input/Output Operations (print(), input())
Comments and Docstrings
3. Operators and Expressions
Arithmetic Operators (+, -, *, /, %, **, //)
Relational (Comparison) Operators (==, !=, >, <, >=, <=)
Logical Operators (and, or, not)
Bitwise Operators (&, |, ^, ~, <<, >>)
Assignment Operators (=, +=, -=, *=, /=)
Identity (is, is not) and Membership (in, not in) Operators
4. Control Flow Statements
Conditional Statements (if, if-else, if-elif-else)
Loops: for loop, while loop
Loop Control Statements (break, continue, pass)
5. Strings and String Manipulation
String Creation and Operations
String Methods (len(), lower(), upper(), replace(), split(), join())
String Formatting (f-strings, .format(), % formatting)
Escape Characters
6. Data Structures (Lists, Tuples, Sets, Dictionaries)
Lists: Definition, Accessing, Slicing, Methods (append(), pop(), sort(), reverse())
Tuples: Immutable nature, Indexing, Methods
Sets: Unique Elements, Set Operations (Union, Intersection, Difference)
Dictionaries: Key-Value Pairs, Accessing, Methods (keys(), values(), items())
7. Functions in Python
Defining and Calling Functions
Function Arguments (Positional, Keyword, Default, Variable-length *args, **kwargs)
Return Statement
Recursive Functions
8. Exception Handling
Understanding Errors (SyntaxError, TypeError, NameError, etc.)
try, except, finally, else blocks
Raising Exceptions (raise statement)
Custom Exceptions
9. File Handling
Opening and Closing Files (open(), close())
Reading and Writing Files (read(), write(), readlines())
File Modes (r, w, a, rb, wb)
Using with statement for file handling

Level 2: Intermediate Python (Object-Oriented & Advanced Features)

10. Object-Oriented Programming (OOP)
Classes and Objects
Constructors (__init__ method)
Instance Variables vs. Class Variables
Inheritance (Single, Multiple, Multilevel, Hybrid)
Method Overriding and Method Resolution Order (MRO)
Encapsulation and Abstraction
Polymorphism
11. Modules and Packages
Importing Modules (import, from ... import, as aliasing)
Creating Custom Modules
Using Standard Libraries (math, random, datetime, os, sys)
Python Packages and __init__.py
Installing External Libraries (pip install <library-name>)
12. Working with Databases (SQLite & MySQL)
Database Connection using sqlite3
CRUD Operations (Create, Read, Update, Delete)
Using MySQL with Python (mysql.connector)
Parameterized Queries and Preventing SQL Injection
13. Regular Expressions (re module)
match(), search(), findall(), sub(), split()
Meta Characters (^, $, [ ], { }, ( ), ?, *, +)
Working with Patterns
14. Web Scraping using BeautifulSoup
Fetching Web Pages using requests
Parsing HTML/XML using BeautifulSoup
Extracting Data from Web Pages
15. JSON & API Handling
Parsing JSON (json.loads(), json.dumps())
Working with APIs (requests library)
Sending GET and POST requests
16. Multithreading & Multiprocessing
Difference between Threading and Multiprocessing
Creating Threads using threading module
Parallel Execution using multiprocessing module
17. GUI Programming using Tkinter
Creating Basic Windows
Adding Widgets (Label, Button, Entry, Frame, Canvas)
Event Handling & Binding Functions
Grid Layout Management
Building a Simple Tkinter Application

Level 3: Advanced Python (Data Science, AI, Automation, and Web Development)

18. Data Science with Python
NumPy: Arrays, Array Operations, Indexing & Slicing
Pandas: DataFrames, Series, Data Cleaning & Manipulation
Matplotlib & Seaborn: Data Visualization
Scikit-Learn: Machine Learning Basics
19. Web Development with Flask & Django
Flask Framework: Routes, Templates, Forms, Sessions
Building a REST API
Django Framework: MVC Architecture, Models, Views, and Templates
Django ORM
20. Automation using Python
Automating Email Sending (smtplib)
Automating Excel Files (openpyxl, pandas)
Web Browser Automation (selenium)
Automating File Operations
21. Data Structures & Algorithms
Searching Algorithms (Linear Search, Binary Search)
Sorting Algorithms (Bubble, Merge, Quick, Insertion)
Stack, Queue, Linked List Implementations
Dynamic Programming Basics
22. Cybersecurity & Ethical Hacking
Cryptography (hashlib, pycryptodome)
Password Cracking Scripts
Network Scanning (scapy)
23. Internet of Things (IoT) with Python
Controlling Raspberry Pi using Python
Sensor Data Collection
IoT Cloud Integration
24. Machine Learning & AI
Supervised & Unsupervised Learning
Deep Learning with TensorFlow & PyTorch
NLP (Natural Language Processing)
Building Chatbots with AI

Project-Based Learning

Beginner: To-Do List App, Number Guessing Game
Intermediate: Weather App, GUI Calculator
Advanced: AI Chatbot, Web Scraper, E-commerce Website

Conclusion

This syllabus provides a structured roadmap for learning Python, from basics to advanced levels, covering fundamental concepts, libraries, frameworks, and real-world applications.