Learning Center - python
https://codingchoice.com/learn/
2026-05-03T10:36:27+00:00Learning Center
https://codingchoice.com/learn/
https://codingchoice.com/learn/_media/logo.pngtext/html2025-04-03T02:43:11+00:00Anonymous (anonymous@undisclosed.example.com)advanced_python_concepts
https://codingchoice.com/learn/python/advanced_python_concepts?rev=1743648191&do=diff
Advanced Python Concepts
Generators
Generators allow lazy evaluation of data, meaning the values are produced only when required.
Example:
def count_up_to(max):
count = 1
while count <= max:
yield count
count += 1
for number in count_up_to(5):
print(number)text/html2025-04-03T02:55:01+00:00Anonymous (anonymous@undisclosed.example.com)automation_with_python
https://codingchoice.com/learn/python/automation_with_python?rev=1743648901&do=diff
Automation with Python
Python can automate tasks using Selenium, PyAutoGUI, and OS modules.
Example (OS Module):
import os
os.system("echo Hello, World!")text/html2025-04-03T02:50:53+00:00Anonymous (anonymous@undisclosed.example.com)data_science_with_python
https://codingchoice.com/learn/python/data_science_with_python?rev=1743648653&do=diff
Data Science with Python
Python is widely used for data science with libraries like Pandas, NumPy, and Matplotlib.
Example (Pandas):
import pandas as pd
data = {"Name": ["Alice", "Bob"], "Age": [25, 30]}
df = pd.DataFrame(data)
print(df)
Output:text/html2025-04-03T02:28:08+00:00Anonymous (anonymous@undisclosed.example.com)data_structures_in_python
https://codingchoice.com/learn/python/data_structures_in_python?rev=1743647288&do=diff
Data Structures in Python
Python provides several built-in data structures such as lists, tuples, sets, and dictionaries.
1. Lists
A list is a collection of ordered items, and it allows duplicate elements.
Example:
my_list = [1, 2, 3, 4, 5]
2. Tuplestext/html2025-04-03T02:57:39+00:00Anonymous (anonymous@undisclosed.example.com)deployment_and_best_practices
https://codingchoice.com/learn/python/deployment_and_best_practices?rev=1743649059&do=diff
Deployment and Best Practices
Virtual Environments
python -m venv myenv
source myenv/bin/activate # Linux/Mac
myenv\Scripts\activate # Windows
Deploying a Flask App on Heroku
heroku create myapp
git push heroku maintext/html2025-04-07T00:20:05+00:00Anonymous (anonymous@undisclosed.example.com)email_client_with_python
https://codingchoice.com/learn/python/email_client_with_python?rev=1743985205&do=diff
Email client with Python
To build email client, Python have built-in smtplib and email.message for sending emails. For receiving emails, we need to install imapclient and pyzmail36. You can install them using pip. This setup gives us both sending and inbox reading capabilities.”text/html2025-04-03T02:39:04+00:00Anonymous (anonymous@undisclosed.example.com)exception_handling
https://codingchoice.com/learn/python/exception_handling?rev=1743647944&do=diff
Exception Handling
Exception handling in Python is done using try, except, and finally.
Example:
try:
num = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("This will always execute.")
Output:
Cannot divide by zero!
This will always execute.text/html2025-04-03T02:37:09+00:00Anonymous (anonymous@undisclosed.example.com)file_handling
https://codingchoice.com/learn/python/file_handling?rev=1743647829&do=diff
File Handling
Python provides functions to handle files: opening, reading, writing, and closing files.
Opening a File
file = open("example.txt", "w") # Open a file in write mode
file.write("Hello, World!")
file.close() # Close the file
Reading from a Filetext/html2025-04-03T02:32:30+00:00Anonymous (anonymous@undisclosed.example.com)functions_and_modules
https://codingchoice.com/learn/python/functions_and_modules?rev=1743647550&do=diff
Functions and Modules
Functions in Python
Functions in Python are defined using the def keyword.
Example:
def greet(name):
return f"Hello, {name}!"
print(greet("Alice")) # Output: Hello, Alice!
Lambda Functions
Lambda functions are anonymous functions defined using the lambda keyword.text/html2025-04-03T02:06:16+00:00Anonymous (anonymous@undisclosed.example.com)introduction
https://codingchoice.com/learn/python/introduction?rev=1743645976&do=diff
Introduction to Python
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and was first released in 1991. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.text/html2025-04-03T02:52:38+00:00Anonymous (anonymous@undisclosed.example.com)machine_learning_with_python
https://codingchoice.com/learn/python/machine_learning_with_python?rev=1743648758&do=diff
Machine Learning with Python
Python has libraries like scikit-learn and TensorFlow for machine learning.
Example (Linear Regression with Scikit-Learn):
from sklearn.linear_model import LinearRegression
X = [[1], [2], [3], [4], [5]]
y = [2, 4, 6, 8, 10]
model = LinearRegression()
model.fit(X, y)
print(model.predict([[6]])) # Output: [12.]text/html2025-04-03T02:35:24+00:00Anonymous (anonymous@undisclosed.example.com)object-oriented_programming
https://codingchoice.com/learn/python/object-oriented_programming?rev=1743647724&do=diff
Object-Oriented Programming (OOP)
Classes and Objects
Classes are blueprints for creating objects. Objects are instances of a class.
Example:
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def greet(self):
return f"Hello, my name is {self.name} and I am {self.age} years old."
person1 = Person("Alice", 30)
print(person1.greet()) # Output: Hello, my name is Alice and I am 30 years old.text/html2025-04-03T02:23:35+00:00Anonymous (anonymous@undisclosed.example.com)python_basics
https://codingchoice.com/learn/python/python_basics?rev=1743647015&do=diff
Python Basics
Variables and Data Types
In Python, you don’t need to declare a variable type explicitly. The interpreter assigns the type automatically.
Basic Data Types in Python:
Integers: x = 10
Floats: x = 3.14
Strings: x = “Hello”
Booleanstext/html2025-04-06T23:57:45+00:00Anonymous (anonymous@undisclosed.example.com)sidebar
https://codingchoice.com/learn/python/sidebar?rev=1743983865&do=diff
* Introduction
* Python Basics
* Data Structures in Python
* Functions and Modules
* Object-Oriented Programming
* File Handling
* Exception Handling
* Advanced Python Concepts
* Working with Databases
* Web Development with Python
* Email Client with Python
* Data Science with Python
* Machine Learning with Python
* Automation with Python
* Testing in Python
* Deployment and Best Practicestext/html2025-04-03T02:56:07+00:00Anonymous (anonymous@undisclosed.example.com)testing_in_python
https://codingchoice.com/learn/python/testing_in_python?rev=1743648967&do=diff
Testing in Python
Python provides testing frameworks like unittest and pytest.
Example (unittest):
import unittest
def add(x, y):
return x + y
class TestMath(unittest.TestCase):
def test_add(self):
self.assertEqual(add(2, 3), 5)
if __name__ == '__main__':
unittest.main()text/html2025-04-03T02:46:06+00:00Anonymous (anonymous@undisclosed.example.com)web_development_with_python
https://codingchoice.com/learn/python/web_development_with_python?rev=1743648366&do=diff
Web Development with Python
Python has frameworks such as Flask and Django for building web applications.
Flask Example:
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
if __name__ == '__main__':
app.run()text/html2025-04-06T03:34:13+00:00Anonymous (anonymous@undisclosed.example.com)working_with_databases
https://codingchoice.com/learn/python/working_with_databases?rev=1743910453&do=diff
Working with Databases
Python supports working with databases like SQLite, MySQL, and PostgreSQL.
SQLite
It's built into Python, so you don’t need to install anything. It’s great for small, local projects or when you want quick setup without a server.