Is it conceivable to have millions of lists of data in memory in Python?
I have over the last 30 days been developing a Python application that utilizes a MySQL database of information (specifically about Norwegian addresses) to perform address validation and correction. The database contains approximately 2.1 million rows (43 columns) of data and occupies 640MB of disk space.
Using assembly to write to a file
I am working with a trading application (reading data from the exchange) which generates a bucket load of data on a per second basis. We have different “log-levels” but even the minimal log-level generates so much data ! This process of log creation is quite I/O intensive.
Object oriented vs vector based programming
I am torn between object oriented and vector based design. I love the abilities, structure and safety that objects give to the whole architecture. But at the same time, speed is very important to me, and having simple float variables in an array really helps in vector based languages/ libraries like Matlab or numpy in Python.
Question regarding Readability vs Processing Time
I am creating a flowchart for a program with multiple sequential steps.
Every step should be performed if the previous step is succesful. I use a c-based programming language so the lay-out would be something like this:
Question regarding Readability vs Processing Time
I am creating a flowchart for a program with multiple sequential steps.
Every step should be performed if the previous step is succesful. I use a c-based programming language so the lay-out would be something like this:
Question regarding Readability vs Processing Time
I am creating a flowchart for a program with multiple sequential steps.
Every step should be performed if the previous step is succesful. I use a c-based programming language so the lay-out would be something like this:
Question regarding Readability vs Processing Time
I am creating a flowchart for a program with multiple sequential steps.
Every step should be performed if the previous step is succesful. I use a c-based programming language so the lay-out would be something like this:
Processing every leaf under a node in a tree efficiently
Short version:
In a tree (non-binary) with many levels of children, where each node can have multiple leaves, what is the best way to tally leaves that meet a certain condition given a node?
Processing every leaf under a node in a tree efficiently
Short version:
In a tree (non-binary) with many levels of children, where each node can have multiple leaves, what is the best way to tally leaves that meet a certain condition given a node?
Processing every leaf under a node in a tree efficiently
Short version:
In a tree (non-binary) with many levels of children, where each node can have multiple leaves, what is the best way to tally leaves that meet a certain condition given a node?