August 2026 Advanced Python Bootcamp

 

Day 1 – Python Fundamentals

Topics

• What is Python?

• Installing Python

• VS Code Setup

• Running Python

• Variables

• Data Types

• Input & Output

• Comments

• Type Conversion

• Operators

Day 2 – Strings (Complete)

Topics

• String Basics

• Indexing

• Slicing

• String Methods

• Escape Characters

• f-Strings

• String Formatting

• String Immutability

Day 3 – Conditional Statements

Topics

• if

• if-else

• if-elif

• Nested if

• Match Case

• Ternary Operator

• Logical Operators

Day 4 – Loops

Topics

• while

• for

• range()

• Nested Loops

• break

• continue

• pass

• else with loop

Day 5 – Functions

Topics

• Creating Functions

• Parameters

• Arguments

• Return

• Scope

• Lambda

• Recursion

• *args

• **kwargs

Day 6 – Data Structures

Topics

List

• Methods

• Nested Lists

• List Comprehension

Tuple

• Packing

• Unpacking

Set

• Operations

• Frozenset

Dictionary

• Methods

• Nested Dictionary

• Dictionary Comprehension

Day 7 – File Handling & Exception Handling

File Handling

• open()

• read()

• readline()

• write()

• append()

• with

Exception Handling

• try

• except

• finally

• else

• raise

• Custom Exception

Day 8 – Object-Oriented Programming (Part 1)

Topics

• OOP Introduction

• Class

• Object

• Constructor

• self

• Instance Variables

• Methods

• Class Variables

• Static Methods

• Class Methods

Day 9 – Object-Oriented Programming (Part 2)

Topics

• Inheritance

• Multiple Inheritance

• Multilevel

• Hierarchical

• Encapsulation

• Abstraction

• Polymorphism

• Method Overloading

• Method Overriding

• Magic Methods

Day 10 – Modules, Packages & Virtual Environments

Topics

• Modules

• Packages

• pip

• venv

• requirements.txt

• Import System

• name

• main

Day 11 – Iterators, Generators & Decorators

Topics

• Iterable

• Iterator

• iter()

• next()

• Generator

• yield

• Generator Expression

• Decorators

• Nested Decorators

• functools.wraps

Day 12 – Advanced Python

Topics

• Closures

• LEGB Rule

• Namespace

• First Class Functions

• Higher Order Functions

• map()

• filter()

• reduce()

• zip()

• enumerate()

• any()

• all()

Day 13 – Regular Expressions & Advanced Collections

Topics

• Regex

• Match

• Search

• Findall

• Groups

• Lookahead

• Lookbehind

Collections Module

• Counter

• defaultdict

• deque

• namedtuple

• OrderedDict

Day 14 – Multithreading, Multiprocessing & Async Programming

Topics

• Thread

• Lock

• Race Condition

• Multiprocessing

• Pool

• Asyncio

• async

• await

• Event Loop

Day 15 – Advanced Python Projects

Build a production-style Python project that demonstrates industry-standard coding practices and serves as a strong portfolio project.

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July 2026 Bootcamp - Free Code files ( Day1 to Day 18)

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Day 17.ipynb

Day 18.ipynb

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🚀 Python BootCamp – July 2026

 

18-Day Python Programming Syllabus (Beginner to Intermediate)

Join On Whatsapp: https://chat.whatsapp.com/J51vKU30HiaKRF1c0vvv0j

📅 Day 1 – Python Introduction

• Introduction to Python
• Installing Python & VS Code
• Running Python Programs
• print() Function
• Comments
• First Python Program

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📅 Day 2 – Variables & Data Types

• Variables
• Numbers
• Strings
• Boolean
• Type Conversion
• User Input

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📅 Day 3 – Operators & Conditional Statements

• Arithmetic Operators
• Comparison Operators
• Logical Operators
• Assignment Operators
• if, elif, else
• Nested Conditions

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📅 Day 4 – Loops

• for Loop
• while Loop
• range()
• break
• continue
• pass
• Pattern Programs

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📅 Day 5 – Strings

• String Indexing
• Slicing
• String Methods
• Formatting
• f-Strings
• Practice Problems

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📅 Day 6 – Python Data Structures

• Lists
• Tuples
• Sets
• Dictionaries
• Common Operations
• Built-in Functions

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📅 Day 7 – Functions

• Creating Functions
• Parameters
• Arguments
• Return Statement
• Scope
• Recursion Basics

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📅 Day 8 – Advanced Python

• Lambda Functions
• map()
• filter()
• zip()
• enumerate()
• List & Dictionary Comprehensions

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📅 Day 9 – Modules & Packages

• Import Statement
• Built-in Modules
• Creating Your Own Module
• pip
• Virtual Environment

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📅 Day 10 – Object-Oriented Programming (Part 1)

• Classes
• Objects
• Constructors
• Attributes
• Methods

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📅 Day 11 – Object-Oriented Programming (Part 2)

• Inheritance
• Polymorphism
• Encapsulation
• Abstraction
• Magic Methods

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📅 Day 12 – File Handling & Exception Handling

• Reading Files
• Writing Files
• File Modes
• Exception Handling
• try-except-finally
• Custom Exceptions

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📅 Day 13 – Regular Expressions & JSON

• Regular Expressions (Regex)
• JSON Read & Write
• Datetime Module
• OS Module

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📅 Day 14 – APIs with Python

• requests Module
• REST APIs
• JSON Response
• Build API-Based Applications

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📅 Day 15 – Web Scraping

• BeautifulSoup
• HTML Parsing
• Extracting Data
• Scraping Tables & Links
• Exporting Data

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📅 Day 16 – Python Automation

• Email Automation
• File Automation
• Folder Management
• Scheduling Tasks
• Productivity Scripts

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📅 Day 17 – SQLite Database & Mini Project

• SQLite Basics
• CRUD Operations
• Connect Python with Database
• Build a Small Database Project

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📅 Day 18 – Final Project & Career Guidance

• Build a Complete Python Project
• Debugging Techniques
• Python Interview Questions
• Resume & GitHub Tips
• Python Learning Roadmap
• Certificate Distribution

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🎯 What You'll Learn

• ✅ Python Fundamentals
• ✅ Logic Building & Problem Solving
• ✅ Data Structures
• ✅ Functions & Modules
• ✅ Object-Oriented Programming
• ✅ File Handling
• ✅ Exception Handling
• ✅ Regular Expressions
• ✅ APIs & JSON
• ✅ Web Scraping
• ✅ Automation
• ✅ SQLite Database
• ✅ Real-World Projects
• ✅ Interview Preparation
• ✅ Career Roadmap

💻 Hands-on Projects

• Calculator App
• Password Generator
• Contact Book
• Quiz Game
• Weather App (API)
• Web Scraper
• File Organizer
• Expense Tracker
• Student Management System
• Final Real-World Python Project

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Python Bootcamp May 2026 Syllabus

 

“Code to Confident: 10 Days to Python Mastery for Beginners”

A beginner-friendly, hands-on bootcamp designed to take students from zero to real-world Python projects in just 10 days.

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🎯 Who This Bootcamp Is For

• Absolute beginners (no coding experience)
• School/college students
• Career switchers
• Anyone who wants to start Python the right way

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📅 Duration

10 Days (Daily 1.5–2 Hours)

• Assignments + Mini Projects

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📚 Detailed Syllabus

🟢 Day 1: Python Kickstart

• What is Python & where it’s used
• Installing Python + Jupyter Notebook
• First program: Hello World
• Variables & Data Types (int, float, string)

👉 Assignment: Simple input/output programs

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🟢 Day 2: Operators & User Input

• Arithmetic, comparison, logical operators
• Taking user input
• Type casting

👉 Mini Task: Build a simple calculator

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🟢 Day 3: Conditional Statements

• if, elif, else
• Nested conditions
• Real-life decision problems

👉 Assignment: Number guessing logic

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🟢 Day 4: Loops Mastery

• for loop, while loop
• Break & Continue
• Pattern programs

👉 Mini Project: Multiplication table generator

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🟢 Day 5: Strings Deep Dive

• String operations & slicing
• String methods
• Real-world text problems

👉 Assignment: Palindrome checker

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🟢 Day 6: Lists & Tuples

• Lists (add, remove, sort)
• Tuples basics
• Iterating through collections

👉 Mini Task: Student marks analyzer

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🟢 Day 7: Dictionaries & Sets

• Key-value logic
• Dictionary operations
• Set operations

👉 Assignment: Contact book program

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🟢 Day 8: Functions & Code Reusability

• Defining functions
• Arguments & return values
• Lambda basics (intro)

👉 Mini Project: Modular calculator

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🟢 Day 9: File Handling + Real Use Case

• Reading & writing files
• Working with .txt files
• Intro to automation

👉 Mini Project: Notes saver app

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🟢 Day 10: Final Project Day 🚀

• Build a complete project:
  • Quiz App / To-Do App / Password Generator
• Code review + improvement tips
• Career roadmap in Python

🎁 What Students Will Get

• Notes + Assignments
• Project files
• Certificate of completion
• Recording access

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April Python Bootcamp Day 14

 

Day 14: File Handling in Python

File handling is a fundamental concept in Python that allows programs to store and retrieve data from files. Unlike variables, which store data temporarily in memory, files help persist data permanently.

Why File Handling is Important

File handling is widely used in real-world applications. It helps in:

• Saving user data (such as login systems)
• Storing logs for debugging and monitoring
• Working with datasets in data science
• Reading configuration files for applications

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Types of Files in Python

Python mainly works with two common types of files:

1. Text Files (.txt)

These store plain text data and are human-readable.

2. CSV Files (.csv)

CSV stands for Comma Separated Values and is used to store structured data in tabular form.

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File Modes in Python

When working with files, Python provides different modes:

• r → Read file
• w → Write file (overwrites existing content)
• a → Append data to file
• r+ → Read and write

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Opening and Closing Files

Basic syntax:

file = open("example.txt", "w")
file.write("Hello, this is Day 14 of Python Bootcamp\n")
file.close()

A better and recommended approach is using the with statement:

with open("example.txt", "r") as f:
    content = f.read()
    print(content)

This automatically handles closing the file.

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Working with Text Files

Writing to a File

with open("example.txt", "w") as f:
    f.write("Learning File Handling\n")

Appending Data

with open("example.txt", "a") as f:
    f.write("Adding new content\n")

Reading Entire File

with open("example.txt", "r") as f:
    content = f.read()
    print(content)

Reading Line by Line

with open("example.txt", "r") as f:
    for line in f:
        print(line.strip())

Reading All Lines into a List

with open("example.txt", "r") as f:
    content = f.readlines()
    print(content)

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File Pointer Concepts

Python maintains a pointer to track the current position in the file.

f.tell()   # gives current position
f.seek(0)  # moves pointer to beginning

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Working with CSV Files

CSV files are used to store tabular data. Python provides the csv module to handle them efficiently.

Writing CSV Data

import csv

data = [
    ["Name","Age","City"],
    ["Piyush","21","Gangtok"],
    ["Rahul","22","Mumbai"]
]

with open("data.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerows(data)

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Reading CSV Data

with open("data.csv", "r") as f:
    reader = csv.reader(f)
    for row in reader:
        print(row)

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Using DictReader

with open("data.csv", "r") as f:
    reader = csv.DictReader(f)
    for row in reader:
        print(row["Name"], row["Age"])

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Writing CSV using Dictionary

import csv

data = [
    {"Name":"Aman","Age":30},
    {"Name":"Rohan","Age":23}
]

with open("data.csv", "w", newline="") as f:
    fieldnames = ["Name","Age"]
    writer = csv.DictWriter(f, fieldnames=fieldnames)

    writer.writeheader()
    writer.writerows(data)

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Common Errors in File Handling

• FileNotFoundError: Occurs when file does not exist
• Using wrong mode: For example, trying to read in write mode
• Forgetting to close file (if not using with)

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Real-Life Example

Taking user input and storing it in a CSV file:

import csv

n = int(input("How many entries do you want to add?"))
data = []

for i in range(n):
    print(f"\nEnter details for person {i+1}")
    name = input("Enter name: ")
    age = input("Enter age: ")
    city = input("Enter city: ")

    data.append([name, age, city])

with open("person.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerow(["Name","Age","City"])
    writer.writerows(data)

print("Data successfully written to person.csv")

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Assignment Questions

Basic Level

1. Create a text file and write 5 lines into it.
2. Read a text file and print its content.
3. Append a new line to an existing file.
4. Read a file line by line and print each line.

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Intermediate Level

5. Count the number of words in a text file.
6. Count how many lines are present in a file.
7. Read a file and print only lines that contain a specific word.
8. Use seek() and tell() to demonstrate file pointer movement.

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CSV Based Questions

9. Create a CSV file with student details (Name, Marks, City).
10. Read the CSV file and display all records.
11. Print students who have marks greater than 80.
12. Use DictReader to access specific columns.

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Advanced Level

13. Take user input and store it in a CSV file.
14. Convert a text file into CSV format.
15. Build a small program to search for a student in a CSV file.

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Conclusion

File handling is a critical concept in Python that enables real-world application development. From saving user data to working with datasets, mastering file operations is essential for any developer, especially in data science and backend development.

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