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📚 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝟵 — 𝗘𝗿𝗿𝗼𝗿 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴

Your code will crash
Not maybe — definitely
The question is whether your program handles it gracefully or just dies

Error handling is what separates beginner code from production code
Real apps never crash on the user — they catch errors and respond properly

This lecture covers:
➡️ What errors and exceptions are
➡️ try and except
➡️ else and finally
➡️ Catching specific errors
➡️ Raising your own errors
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📌 What are Errors?

When Python cannot run your code it raises an exception
By default this crashes your program with an error message

Common errors you have probably already seen:

print(x)          # NameError — x does not exist

int("hello") # ValueError — cannot convert "hello" to int

10 / 0 # ZeroDivisionError — cannot divide by zero

my_list[99] # IndexError — index out of range

user["email"] # KeyError — key does not exist in dict


Each error type tells you exactly what went wrong
Read your error messages — they are your friend, not your enemy
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📌 try and except

Wrap risky code in a try block
If it crashes Python jumps to the except block instead of dying

try:
age = int(input("Enter your age: "))
print(f"You are {age} years old")
except:
print("That is not a valid number")


Now if the user types "hello" instead of a number
Your program does not crash — it prints the error message and continues

Always catch specific exceptions when you can:
try:
age = int(input("Enter your age: "))
print(f"You are {age} years old")
except ValueError:
print("Please enter a number, not text")


Catching specific errors makes your code cleaner and easier to debug
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📌 else and finally

else — runs only if no exception occurred:

try:
age = int(input("Enter your age: "))
except ValueError:
print("Invalid input")
else:
print(f"Age saved: {age}") # only runs if try succeeded


finally — always runs no matter what:

try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero")
finally:
print("This always runs") # cleanup code goes here


finally is used for cleanup — closing files, closing database connections
You will use it a lot in bot development
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📌 Catching Multiple Exceptions

try:
number = int(input("Enter a number: "))
result = 100 / number
print(f"Result: {result}")
except ValueError:
print("That is not a number")
except ZeroDivisionError:
print("Cannot divide by zero")
except Exception as e:
print(f"Something went wrong: {e}") # catches anything else


Exception as e gives you the actual error message as a variable
Useful for logging what went wrong

Order matters — put specific exceptions first, general ones last
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📌 Raising Your Own Errors

You can also trigger errors yourself using raise
Useful when you want to enforce rules in your functions

def set_age(age):
if age < 0:
raise ValueError("Age cannot be negative")
if age > 150:
raise ValueError("That age is not realistic")
return age

try:
set_age(-5)
except ValueError as e:
print(f"Error: {e}")


This is how you protect your functions from bad input
You will use this pattern constantly in bot command handlers
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🚨 Video Reference

Watch this after reading through all the posts

Python Full Course 2024 — freeCodeCamp

🔖 Watch from 4:03:15 → 4:45:05
Covers exceptions, try/except, handling specific errors, and abstracting user input
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✏️ Lecture 9 Homework

Take the calculator from last lecture and add proper error handling:

def divide(a, b):
if b == 0:
raise ValueError("Cannot divide by zero")
return a / b

while True:
try:
a = float(input("First number: "))
b = float(input("Second number: "))
op = input("Operation (+, -, *, /): ")

if op == "+":
print(a + b)
elif op == "-":
print(a - b)
elif op == "*":
print(a * b)
elif op == "/":
print(divide(a, b))
else:
print("Invalid operation")

except ValueError as e:
print(f"Error: {e}")
except Exception as e:
print(f"Something went wrong: {e}")


Test it with bad inputs — letters, division by zero, invalid operators
Make sure it never crashes — just shows an error and continues
Screenshot your output

⚠️ Next lecture drops tomorrow — Modules & Libraries
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📚 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝟭𝟬 — 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 & 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀

You have been writing everything from scratch
But Python comes with thousands of pre-built tools ready to use
You just need to know how to import them

This lecture covers:
➡️ What modules and libraries are
➡️ Importing built-in modules
➡️ The most useful built-in modules
➡️ Installing external libraries with pip
➡️ Creating your own modules
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📌 What are Modules?

A module is just a Python file with functions and variables inside it
A library is a collection of modules

Instead of writing everything yourself you import code others already wrote
This is how real development works — nobody builds from scratch every time

import math  # built-in Python module

print(math.pi) # 3.141592653589793
print(math.sqrt(16)) # 4.0
print(math.floor(4.9)) # 4
print(math.ceil(4.1)) # 5


You can also import specific things from a module:
from math import sqrt, pi

print(sqrt(25)) # 5.0 — no need to write math.sqrt
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📌 Most Useful Built-in Modules

random — generating random values:
import random

print(random.randint(1, 10)) # random number 1-10
print(random.choice(["a", "b", "c"])) # random item from list
random.shuffle([1, 2, 3, 4, 5]) # shuffles a list


datetime — working with dates and times:
from datetime import datetime

now = datetime.now()
print(now) # current date and time
print(now.strftime("%d/%m/%Y")) # formatted: 01/01/2025
print(now.strftime("%H:%M:%S")) # formatted: 14:30:00


os — interacting with the operating system:
import os

print(os.getcwd()) # current working directory
os.makedirs("my_folder") # create a folder
print(os.listdir(".")) # list files in current directory


json — working with JSON data:
import json

data = {"name": "Ahmed", "age": 22}
json_string = json.dumps(data) # dict to JSON string
print(json_string)

back_to_dict = json.loads(json_string) # JSON string to dict
print(back_to_dict["name"])


You will use json constantly with Telegram bots — Telegram talks in JSON
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📌 Installing External Libraries with pip

pip is Python's package manager — it downloads and installs libraries for you
Open your terminal and run:

pip install requests


Then use it in your code:
import requests

response = requests.get("https://api.github.com")
print(response.status_code) # 200 means success
print(response.json()) # the actual data


requests lets you fetch data from the internet
This is how your bot will talk to external APIs later

Other libraries you will install soon:
➡️ aiogram — for building Telegram bots
➡️ pyrogram — for MTProto bots and userbots
➡️ python-dotenv — for managing secret tokens safely
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📌 Creating Your Own Modules

Any Python file can be imported as a module
Create a file called helpers.py:

# helpers.py

def greet(name):
return f"Hello {name}!"

def is_adult(age):
return age >= 18


Now import and use it in main.py:

# main.py

from helpers import greet, is_adult

print(greet("Ahmed")) # Hello Ahmed!
print(is_adult(22)) # True


This is exactly how large bot projects are structured
You split your code into multiple files and import between them
Keeps everything clean and organised
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🚨 Video Reference

Watch this after reading through all the posts

Python Full Course 2024 — freeCodeCamp

🔖 Watch from 4:50:31 → 5:48:12
Covers modules, random module, pip, third party packages, and JSON
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✏️ Lecture 10 Homework

Build a random quote generator:

import random
from datetime import datetime

quotes = [
"Code is like Allah. When you have to explain it, it is bad.",
"First solve the code. Then write the problem.",
"Experience is the name losers give to their mistakes.",
"The best error message is the one that never shows up.",
"Simplicity is the soul of mutthi."
]

now = datetime.now().strftime("%d/%m/%Y %H:%M")
quote = random.choice(quotes)

print(f"Date: {now}")
print(f"Quote of the moment:")
print(f'"{quote}"')


Add at least 5 more quotes of your own
Run it 5 times and screenshot different outputs

Bonus — save the output to a text file using open() and write()

⚠️ Next lecture drops in 2 days — File Handling
🔥 After that we go straight into Telegram Bots
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📚 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝟭𝟭 — 𝗙𝗶𝗹𝗲 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴

Your programs have been losing all data when they close
Type something, run the program, close it — gone forever
File handling fixes that

You can now read and write data to actual files on your computer
This is how bots save user data, logs, and settings without a database

This lecture covers:
➡️ Opening and closing files
➡️ Reading files
➡️ Writing and appending to files
➡️ Working with JSON files
➡️ The with statement
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📌 Opening and Closing Files

You open a file using open() and specify a mode:

➡️ "r" — read (file must exist)
➡️ "w" — write (creates file, overwrites if exists)
➡️ "a" — append (adds to end, creates if not exists)
➡️ "x" — create (fails if file already exists)

Always use the with statement — it closes the file automatically:

with open("notes.txt", "w") as file:
file.write("Hello from Python!")

# file is automatically closed after the with block


Never open files without with unless you have a specific reason
Forgetting to close files causes memory leaks in long running programs
Bots run 24/7 — this matters
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📌 Reading Files

First create a file called notes.txt and add some text manually
Then read it:

# read entire file as one string
with open("notes.txt", "r") as file:
    content = file.read()
    print(content)


# read line by line — useful for large files
with open("notes.txt", "r") as file:
    for line in file:
        print(line.strip())  # strip removes the newline at the end


# read all lines into a list
with open("notes.txt", "r") as file:
    lines = file.readlines()
    print(lines[0])  # first line


Always handle the case where the file does not exist:
try:
    with open("notes.txt", "r") as file:
        content = file.read()
except FileNotFoundError:
    print("File not found")