How Long Does It Take to Learn Python?

Best practices

Set realistic goals based on your prior programming experience. Complete beginners should plan for a longer learning curve, while those with coding experience will progress faster through Python's intuitive syntax.
Make Python practice a daily ritual, even if just for 30 minutes. Regular, focused coding sessions deliver faster progress than occasional marathon sessions.
Utilize a variety of resources such as books, online tutorials, and interactive platforms to cater to different learning styles and enhance understanding.
Engage with the community through forums, meetups, or GitHub to gain insights, get feedback, and stay motivated throughout your learning journey.

import requests
from bs4 import BeautifulSoup
# Fetch webpage
response = requests.get('https://sandbox.oxylabs.io/')
soup = BeautifulSoup(response.text, 'html.parser')
# Find and print all links
for link in soup.find_all('a'):
    print(link.get('href'))

Common issues

Solidify your understanding of Python basics (variables, loops, functions) before tackling advanced topics – a strong foundation eliminates confusion later.
Create practical mini-projects that apply new skills immediately rather than passively consuming tutorials.
Incorporate error handling early in your learning to develop good programming habits and understand how to manage common issues in Python.
Reflect on your progress periodically by reviewing past code to identify areas for improvement and consolidate your knowledge.

# Incorrect: Not using error handling which might crash the program
url = "https://sandbox.oxylabs.io/"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

# Correct: Using try-except to handle potential HTTP request errors
url = "https://sandbox.oxylabs.io/"
try:
    response = requests.get(url)
    response.raise_for_status()  # Raises an HTTPError for bad responses
    soup = BeautifulSoup(response.text, 'html.parser')
except requests.exceptions.HTTPError as e:
    print(f"HTTP error occurred: {e}")
except requests.exceptions.RequestException as e:
    print(f"Error during requests to {url}: {e}")

# Incorrect: Diving directly into complex scraping without understanding basics
soup = BeautifulSoup(response.text, 'html.parser')
complex_data = soup.find_all('div', {'class': 'complex-class'})

# Correct: Start with simple tasks to understand basic parsing
simple_data = soup.find('title').text
print(simple_data)  # Understanding how to extract simple text

# Incorrect: Not breaking down the project into smaller, manageable parts
for faq in soup.find_all('div', class_='complex-section'):
    # Undefined function would cause errors
    # process_complex_logic(faq)
    pass  # Placeholder instead

# Correct: Break down the scraping into smaller functions or sections
def extract_questions(soup):
    return [faq.text.strip() for faq in soup.find_all('div', class_='faq-question')]
questions = extract_questions(soup)
for question in questions:
    print(question)

# Incorrect: Not reviewing or refactoring code which leads to maintenance issues
data = [faq.text for faq in soup.find_all('div', class_='faq-question') if "python" in faq.text.lower()]

# Correct: Regularly review and refactor code to improve efficiency
def filter_python_questions(faqs):
    return [faq.text.strip() for faq in faqs if "learn python" in faq.text.lower()]
python_faqs = filter_python_questions(soup.find_all('div', class_='faq-question'))
for faq in python_faqs:
    print(faq)