How to fix MemoryError: Unable to allocate... in Python

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Hello, Dedicated Coders! 🖥️💡

We're excited to share with you our newest video, "How to solve MemoryError: Unable to allocate... in Python". 🎥 This series is meticulously designed to arm you with knowledge 🧠 and skills 🛠️ to overcome frequent coding challenges.

Today, we will decipher 🔎 and resolve a common error faced by Python coders: the bit hard to solve MemoryError: Unable to allocate.... Here is a snapshot of the code of the video:

Troubling Scenario: ❗️
import numpy as np

Unwanted Result: 🚫
MemoryError: Unable to allocate 1.00 GiB for an array with shape (1000000000,) and data type int64

Effective Resolution: ✔️
import numpy as np

print(small_array)

Desired Output: 🏁
[1. 1. 1. 1. 1.]

In this detailed walkthrough, we will illuminate 💡 the underlying cause of this error, and offer a comprehensive explanation: This error occurs when you're trying to allocate more memory than available. The fix reduces the size of the array. 🎯

Ready to demystify the NameError: name is not defined in your code? Click to watch the video now 🎬. If it aids you in your coding journey, kindly express your appreciation by hitting the like button 👍, and don't hesitate to enrich our coding community by sharing your questions or insights in the comments section 💬.

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Until next time, Happy Coding! 🚀💻

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