Python Libraries for Data Science
Data scientist? Here are the python libraries that you should be bffs with.
NumPy, short for Numerical Python, is an open source package for scientific computing and data analysis. NumPy serves as the foundation of Python’s scientific computing stack. Among the features of NumPy is ndarray, or N-dimensional array object, which is a flexible storage for data sets in Python. It also contains tools for integrating C/C++ and has capabilities for random number generation and Fourier transform.
NumPy is often preferred over regular Python lists for a variety of reasons. It is seen to be convenient, owing to its many free vector and matrix operations. Data structures in NumPy also takes up less space and performance in terms of speed is better, as well.
Hire NumPy SpecialistsNeed a python script to tesseract Folder A (image file) To Folder B(Text File) with Folder C(Processed image file) to avoid rerun. In case of any interruption. And Do 4 images parallelly or as per user input or max process power with Status /Log Display No of file processed and time. The Next part of code is to batch (Multiple word) as whole word find and replace. Text file word list and text file...
Hi, I am looking for someone to build a Generative Adverserial Network on the basis of a small custom data set which I deliver. This source code can be used and adjusted as a base [login to view URL] I'd like to have the project output run live on a locally hosted web page as a slide show. Best, Alex Verhaest
I am trying to develop a tool that will optimize the placement of polygons (Columns) within the boundaries of a larger polygon (Lot). Several rules define the usable area within Lot; in the other hand, another set of rules define the spacing between Columns as these are placed within LOT as well as total count. There will be a library of small rectangular polygons (boxes) with different dime...
Data scientist? Here are the python libraries that you should be bffs with.
This article is a guide for anyone interested in using machine learning frameworks in their organization.
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