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        "author": "Miguel Angel Velez",
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            "Development Status :: 3 - Alpha",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Build Tools"
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        "description": "# m_stats\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/m_stats.svg) ![PyPI - License](https://img.shields.io/pypi/l/m_stats.svg)  ![PyPI](https://img.shields.io/pypi/v/m_stats.svg) ![GitHub last commit](https://img.shields.io/github/last-commit/mvelezg99/m_stats.svg)\n***\nA statistics and probability library for Python; which includes functions to make operations of:\n* Probability distributions\n* Confidence intervals estimation\n* Hypothesis testing\n* ANOVA (Analysis of variance)\n* Simple linear regression\n* Multiple regression\n* Time series\n\nAnd also includes functions to:\n* Graph distributions\n* Graph hypothesis tests\n* Graph linear regressions\n***\n\nTo use and explore the library, you can install it with PyPi.\n```\n$ pip install m_stats\n```\nAnd then import it into your files.\n```python\nimport m_stats as ms\n```\nAnd to use its functionalities, you should access to them in this way:\n```python\nms.linregr.regression(x, y)\n```\n***",
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