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Pros of NumPy
Pros of Pandas
Pros of Anaconda
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Pros of NumPy
- Great for data analysis10
- Faster than list4
Pros of Pandas
- Easy data frame management21
- Extensive file format compatibility2
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What is Anaconda?
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
What is NumPy?
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
What is Pandas?
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
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What are some alternatives to Anaconda, NumPy, and Pandas?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
PyCharm
PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
pip
It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.