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Pandas (styled as pandas) is a software library written for the python programming language for data manipulation and analysis The natural language toolkit, or more commonly nltk, is a suite of libraries and programs for symbolic and statistical natural language processing (nlp) for english written in the python programming language. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Its design philosophy emphasizes code readability with the use of significant indentation Google colab provides an online integrated development environment (ide) for python that requires no setup and runs entirely in the. [1] it has a simple, flexible and easily readable syntax
[2] its popularity results in a vast ecosystem of libraries, including for deep learning, such as pytorch, tensorflow, keras, google jax
The library numpy can be used for manipulating arrays, scipy for scientific and mathematical. [4][5] created by pierre raybaut [6] and released in 2009 [1][2] under the mit license, [7] since 2012 spyder has been maintained and. Anaconda is an open source [10][11] data science and artificial intelligence distribution platform for python and r programming languages Developed by anaconda, inc., [12] an american company [1] founded in 2012, [12] the platform is used to develop and manage data science and ai projects
[10] in 2024, anaconda inc Has about 300 employees [13] and 45 million users [4] scipy contains modules for optimization, linear algebra, integration, interpolation, special functions, fast fourier transform, signal and image processing, ordinary differential equation solvers. Data science is an interdisciplinary field [11] focused on extracting knowledge from typically large data sets and applying the knowledge from that data to solve problems in other application domains
The field encompasses preparing data for analysis, formulating data science problems, analyzing data, and summarizing these findings
As such, it incorporates skills from computer science. It allows users to write and execute python code through the browser, especially suited for machine learning, data analysis, and education
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