While using Jupyter Notebook, I made a comment on my variable. Surprisingly, rather than encountering a 'variable is not defined error', I still received a value output

When using a Jupyter notebook, what happens if I comment out a variable declaration and then try to call it? Instead of receiving a 'variable is not defined' error, the output produced is from before the variable was commented. Why does this occur?

import random

number = random.randint(1,9)
##user_guess = 3

def first():
    print(number)

def second():
    print(user_guess)

second()

Output: 3

This behavior is unexpected as it should result in a 'variable is not defined' error.

Answer №1

In order to avoid the "NameError" stating that "user_guess is not defined," ensure that you have executed the cell in the notebook where the variable was previously defined before commenting it out and rerunning the cell. Jupyter Notebook retains memory of variables that were defined earlier. To resolve this issue, restart the notebook kernel and run the cell again.

Answer №2

In the world of Jupyter runtime, all variables find their cozy spot in memory. For instance, if you were to type

x = 1

in one code cell, the beloved variable x will linger around and keep you company in every subsequent cell you dare to run. It's like leaving a breadcrumb trail for yourself. So, when you venture into the next cell and decide to

print(x)

voila! The x from the past reappears, waving hello once again.

The saga continues here – you've brought x to life as a variable, now it proudly resides in your computer's memory. Even when you rerun the cell with x discreetly hidden, Jupyter doesn't erase its memory just yet. Think of it as a never-ending story where x remains defined, not undefined.

Similar questions

If you have not found the answer to your question or you are interested in this topic, then look at other similar questions below or use the search

Tips for generating a three-dimensional visualization of a deep learning model

Is it possible to generate a 3D representation of a deep learning network in .png or .jpeg format? Currently, Keras only provides a two-dimensional model plotting utility, showing the number of layers and basic properties of each layer (see image link b ...

Creating a visually appealing design by showcasing a portion of the FancyArrowPatch line in a dashed

I have been experimenting with plotting a section of a matplotlib.patches.FancyArrowPatch in a dashed style. Following the guidance provided in this Stack Overflow post pyplot: Dotted line with FancyArrowPatch, I was able to achieve a close approximation: ...

What is the best way to extract information from a webpage that contains both static and dynamic elements?

After using a headless browser, I found that the suggested solution to a similar question did not address my specific problem. The provided answer lacked details on effectively utilizing a headless browser for the task at hand. The target webpage for scra ...

Error message "The table 'MSysAccessStorage' does not exist" is encountered while attempting to drop tables from the list generated by cursor.tables()

After successfully connecting to a database and iterating through the metadata to retrieve table names, I encountered an unexpected error message: pyodbc.ProgrammingError: ('42S02', "[42S02] [Microsoft][ODBC Microsoft Access Driver] Table &a ...

The dropdown list is nowhere to be found in the page source when using Selenium

Currently, I am engaged in web scraping using Selenium. Successfully locating the input box and entering ID numbers is no issue. Yet, a roadblock presents itself - there is no submit button linked to the search bar. Once the numbers are inputted, the box a ...

Minimizing data entries in a Pandas DataFrame based on index

When working with multiple datafiles, I use the following code to load them: df = pd.concat((pd.read_csv(f[:-4]+'.txt', delimiter='\s+', header=8) for f in files)) The resulting DataFrame looks like this: ...

Tips for executing a Python function from JavaScript, receiving input from an HTML text box

Currently, I am facing an issue with passing input from an HTML text box to a JavaScript variable. Once the input is stored in the JavaScript variable, it needs to be passed to a Python function for execution. Can someone provide assistance with this pro ...

Encountering an issue when trying to import mxnet on CentOS: receiving OSError stating that version `GLIBC_2.17' of /lib64/libc.so.6 cannot be found

I am running into errors while attempting to import mxnet on a shared cluster: import mxnet as mx Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/ironfs/scratch/carlos/anaconda3/lib/python3.6/site-package ...

group and apply operations to all remaining keys

If I have a pandas dataframe called df, I can find the average reading ability for each age by using the code df.groupby('Age').apply(lambda x: x['ReadingAbility'].mean()). But what if I want to find the average reading ability for all ...

Preserving the HTML tag structure in lxml - What is the best method?

Here is a url link that I have: I am attempting to extract the main body content of this news page using LXML with xpath: //article, however it seems to include content beyond the body tag As LXML modifies the HTML structure upon initialization, I am see ...

Converting Byte strings to Byte arrays in Node.js using JavaScript

Currently facing a challenge while trying to complete the pythonchallenge using JS and Node. Stuck on challenge 8 where I need to decompress a string using bzip2: BZh91AY&SYA\xaf\x82\r\x00\x00\x01\x01\x80\x ...

"Troubleshoot: Resolving Issues with Opening URLs in Selenium from a

I am encountering an issue while trying to open URLs from a TXT file using the Selenium WebDriver. The code I am using is written in Python 3.4.3. Could you help me identify the problem in this code? from selenium import webdriver with ope ...

Exploring ways to interact with Span elements using Selenium in Python

Greetings! I am currently attempting to access a specific element called span. My goal is to retrieve this element in a manner that allows me to append it to a list. Each span contains an attribute wordnr="1" or a different number. The objective is to extr ...

managing duplicates, organizing using dictionary

I'm currently facing an issue with a specific piece of code where I'm trying to remove duplicates from the result and sort it alphabetically. I've attempted various solutions found on forums, but most of them focus on sorting lists rather th ...

Looking to set up Python 3.9.10 in a container without relying on standard python images?

Currently facing a challenge where I need to execute code within a container that specifically requires Python 3.9.10. However, I am encountering difficulties when attempting to install this particular version. Although I have the ability to make modifica ...

Guide to selecting a text field and entering text with Selenium in Python

Trying to interact with a login page using Selenium has been challenging. I can successfully navigate to the login page, click on the login box, but struggle to input text. Here's a snippet of my code where the issue arises. Code from selenium impor ...

How can I enhance speed and efficiency when transferring data into MySQL databases?

I am currently developing a website using Django and MySQL (MyISAM) as the backend. The database data is being imported from multiple XML files processed by an external script and output as a JSON file. Whenever a new JSON file differs from the previous on ...

What is the correct method for utilizing the {% include %} tag to display a template (similar to partials) in Django?

I have created a navigation menu on the left side with subcategories. What I'd like is for users to click on a subcategory and have the corresponding content displayed on the right side. My current setup uses class-based views, starting with a ListVi ...

Ways to find and display a specific string from a list within a data frame column in the form of an adjacent column

My Current Data I currently have a column called 'Student' containing the names of students and their corresponding personalities. I also have a list named 'qualities' which consists of traits needed for filtering purposes. Desired Out ...

Ways to retrieve legend information from matplotlib

After creating a dataframe from a shapefile using geopandas, I proceeded to plot it using the gdf.plot function. My goal is to assign color values to different data categories in the specified format: {'1':'black(or color hex code)', & ...