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Introduction To Python
  1. Advantages Of Learning Python As The First Programming Language
  2. Easy Python Setup Guide For Beginners
Basic Syntax And Variables
  1. Python Syntax Fundamentals
  2. Python Variables And Data Types
  3. Python Basic Operations
Control Flow
  1. Python Conditional Statements
  2. Python Loops
Functions And Modules
  1. Defining And Calling Python Functions
  2. Introduction To Python Modules And Importing
  3. Understanding Python Built In Functions Part 1
  4. Understanding Python Built In Functions Part 2
  5. Understanding Python Built In Functions Part 3
  6. Understanding Python Built In Functions Part 4
  7. Understanding Python Lambda Functions
Python Lists And Touples
  1. Manipulate Python Lists And Touples
  2. 5 Ways To Remove Items From A Python List By Index
  3. 5 Different Approaches To Check For Duplicate Values In Python Lists
  4. 5 Different Approaches To Check For A Specific Value In Python Lists
  5. 5 Various Approaches To Modify Elements In Python Lists
  6. Understanding Shallow Copy And Deep Copy In Python Lists
  7. 6 Various Approaches To Duplicating Lists In Python
  8. Exploring 8 Various Iteration Techniques In Python Lists
  9. Exploring Python List Concatenation Methods
  10. All You Must Know About Python Slicing
  11. Exploring Various Methods For Comparing Python Lists
  12. Converting Various Data Types To Python Lists
  13. Removing Duplicate Values From Python Lists
  14. Extend A Python List To A Desired Length
  15. Shorten A Python List To A Specific Length
  16. Efficient Ways To Creating Sequences In Python
Python Dictionaries
  1. Manipulate Python Dictionaries
  2. Understanding Python Enumerate Dictionary
  3. Efficient Ways Removing Items From Python Dictionaries
  4. 5 Different Ways To Check For Duplicate Values In Python Dictionaries
  5. Check For A Specific Value In Python Dictionaries
  6. Get Values By Key In Python Nested Dictionary
  7. Modify Values By Key In Python Nested Dictionary
  8. 7 Different Ways To Duplicating A Dictionary In Python
  9. 5 Various Iteration Techniques In Python Dict
  10. 4 Different Methods For Dictionary Concatenation In Python
  11. 4 Different Ways Of Comparing Python Dicts
  12. Converting Various Data Types To Python Dictionaries
  13. Efficient Ways To Remove Duplicate Values From Python Dictionaries
  14. Extend A Python Dictionary To A Desired Length
  15. Shorten Python Dictionaries To A Specific Length
  16. Efficient Approaches To Remove An Item By Value In Python Dictionaries
Python Sets
  1. Manipulate Python Sets
File Handling
  1. Reading From And Writing To Files In Python
  2. Python File Modes And Handling Exceptions
Object Oriented Programming
  1. Python Classes And Objects
  2. Python Inheritance Encapsulation And Polymorphism
Python Advanced Data Structures
  1. Python Collection Module
  2. Advanced Python Data Manipulation Techniques
Error Handling And Debugging
  1. Python Exception Handling
  2. Python Debugging Techniques And Tools
Regular Expressions
  1. Python Regular Expressions In Text Processing
  2. Python Regular Expressions Pattern Matching
Concurrency And Parallelism
  1. Threading Vs Multiprocessing In Python
  2. How To Achieve Concurrency And Parallelism In Python
  3. Concurrent Programming With Asyncio
Working With Apis
  1. Making Http Requests In Python
  2. Parsing Json Xml Responses In Python
Build Apis With Python Requests
  1. Python Requests Crud Operations
  2. Retry In Python Requests
  3. Python Requests Timeout
Build Apis With Python Urllib3
  1. Disabling Hostname Verification In Python Example
Build Apis With Python Aiohttp
  1. Asynchronous Crud Operations In Python
  2. Retry In Python Aiohttp Async Requests
Database Interaction
  1. Connecting To Databases In Python
  2. Python Crud Operations And Orm Libraries
Python For Web Development
  1. Introduction To Python Web Frameworks
  2. Building Web Applications Using Flask
  3. Building Web Applications Using Django
  4. Building Web Applications Using Fastapi
Data Analysis And Visualization
  1. Introduction To Numpy Pandas And Matplotlib
  2. Analyzing Datasets And Visualizations In Python
Machine Learning With Python
  1. Machine Learning Concepts And Python
  2. Introduction To Scikit Learn And Tensorflow Keras
Python Typing Module
All Course > Python > Python Typing Module Apr 01, 2024

What does it mean when I get a TypeError ‘type’ object is not subscriptable while using typing?

While working on a Python project, I hit a puzzling error. It said: "TypeError: 'type' object is not subscriptable." This problem can be tricky, especially for those using Python's typing module. The typing module, which gives type hints, helps make your code clearer. At first, I had no clue what caused the error. After some digging and trial and error, I figured out the problem and how to fix it. In this article, I'll walk you through what this error means and how you can resolve it.

What Causes the ‘TypeError: ‘type’ object is not subscriptable’?

The error appears when you use square brackets with a type that cannot handle it. This issue occurs with Python’s typing module. It happens often when using type hints. It occurred when I tried to set a function parameter. I aimed to display the parameter as a list of strings. I wrote the code like this:

def process_items(items: list[str]) -> None:
    pass

To my surprise, Python threw the TypeError: ‘type’ object is not subscriptable. I found that I used list wrong. In Python before version 3.9, list cannot be subscripted with a type. Instead, use List from the typing module.

How to Resolve the Error

After spotting the error, I took these steps:

  1. Import the Correct Type from typing:
    Make sure you import the correct type from the typing module. For Python versions under 3.9, use List from typing. Here’s the correct way:
from typing import List

def process_items(items: List[str]) -> None:
    return ['a', 'b', 'c']
  1. Upgrade Python Version (If Possible):
    If you can upgrade to Python 3.9 or newer, use the built-in list with square brackets. This approach is simpler and keeps your code clean.

  2. Use Correct Type Hinting:
    Always make sure that the type hinting is correct. If you’re not sure whether a type supports subscripting, check the Python documentation or test it in a simple script. This helps avoid the TypeError and keeps your code clean.

Common Pitfalls to Avoid

While fixing my code, I hit traps which cause this error. One trap is not importing types. Types like List, Dict, and Tuple. These come from the typing module, which is key in Python below 3.9. Another mistake is using the wrong brackets, which can lead to problems. It’s key to use square brackets [] for subscripting, not parentheses () or curly braces {}. Catching these small details, which seem minor, can save time and stop errors.

Final Thoughts

The TypeError: ‘type’ object is not subscriptable may confuse those who don’t know Python’s types. I found that Python versions, which handle type hinting, matter a lot. When you understand the error’s cause, the fix is clear. Use correct type hints, and update Python as needed. This way, you write stronger code, which avoids errors. My experience, which I share here, may help you steer clear of this issue, making your Python coding much easier.

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