I'm having trouble trying to further optimize memory usage for my program. Essentially, I am parsing JSON log files into a pandas dataframe but encountering the following challenges: The append function is causing substantial memory consumption as it cre ...
I have a defaultdict object with the following structure: { string : [(string, (float, float)), (string, (float, float)), ....]} The size of it is approximately 12.5 MB When pickling using the code below: with open(Path_to_file, 'wb') as file: pickl ...
Consider this Python code snippet: import cloudpickle class Foo: def __init__(self, num): self.num = num def outer(num): return Foo(num) print(cloudpickle.dumps(outer)) Upon running the code, a different pickle file is generated each ...
In search of a secure and flexible solution for storing credentials in a config file for database connections and other private information within a Python module. This module is responsible for logging user activity in the system through different handler ...
Hey there! I've run into a strange issue with my JSON Encoder. When using pickle.dumps(), the output is appearing as: "cdecimal Decimal p0 (S'2097369' p1 tp2 Rp3 .", Instead, it should display: 2097369 This is the code snippet causing the problem: clas ...
In the midst of a project, I find myself faced with the task of extracting URLs for all products on a given page and utilizing Scrapy to sift through each URL for product data. The challenge arises when a pop-up emerges 3-5 seconds after loading every URL, ...
I've been experimenting with checking the freshness of my cookies. Specifically, I'm conducting tests on Facebook.com. It's a hassle to have to log in every time I want to test something, so I'm keen on avoiding that if possible. Howev ...
I am in need of saving a trained model that I have been working on. The model utilizes shared variables such as Weights and biases, which makes it necessary for the saved file to be readable on machines without Theano installed. My initial plan was to use ...
I want to efficiently access specific objects in a file where multiple large objects are stored using the pickle module. I don't want to load all the objects before the one I need. Let's say I have a file with only numbers as an example. import p ...
There is a well-known issue with Python pickling as discussed in this Stack Overflow thread. However, the solution provided there may be difficult to understand. The following code snippet showcases the problem in Python 3.6: import pickle from astroquer ...
I have encountered an issue while saving a numpy array that contains repetitive data: import numpy as np import gzip import cPickle as pkl import h5py a = np.random.randn(100000, 10) b = np.hstack( [a[cnt:a.shape[0]-10+cnt+1] for cnt in range(10)] ) f_p ...
I'm currently exploring a method to validate if a user's input closely matches any existing string contained in a pickle file. Let's say we have a scenario where a user enters their name... userInput = input("Please enter your name: ") .. ...
I have been implementing the PassiveAggressiveRegressor incremental classifier in my project. After every use of the partial_fit function, I make sure to save the model into a pickle file. from sklearn import linear_model import numpy as np import time X ...
My CSV dataset contains strings in a single field that represent lists of values. The sequences vary greatly in length, ranging from one observation to thousands. I am currently parsing these strings into nested lists within a Pandas DataFrame. Although th ...
I am currently working on a Python project and have encountered the following line of code: user_last3[name].append(score) I am interested in saving this data to a database (using Python 3.x) so that I can manipulate previously saved data, add scores to ...