Center formatting for README

README.md

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 [//]: # (Logo:)
 
-<img src="https://raw.githubusercontent.com/MilesCranmer/PySR/master/docs/images/pysr_logo.svg" width="400" />
+<div align="center">
 
+<img src="https://raw.githubusercontent.com/MilesCranmer/PySR/master/docs/images/pysr_logo.svg" width="200" />
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 # PySR: High-Performance Symbolic Regression in Python
 
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 PySR is built on an extremely optimized pure-Julia backend, and uses regularized evolution, simulated annealing, and gradient-free optimization to search for equations that fit your data.
 
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 | **Docs** | **colab** | **pip** | **conda** | **Stats** |
 |---|---|---|---|---|
 |[![Documentation](https://github.com/MilesCranmer/PySR/actions/workflows/docs.yml/badge.svg)](https://astroautomata.com/PySR/)|[![Colab](https://img.shields.io/badge/colab-notebook-yellow)](https://colab.research.google.com/github/MilesCranmer/PySR/blob/master/examples/pysr_demo.ipynb)|[![PyPI version](https://badge.fury.io/py/pysr.svg)](https://badge.fury.io/py/pysr)|[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pysr.svg)](https://anaconda.org/conda-forge/pysr)|[![Downloads](https://pepy.tech/badge/pysr)](https://badge.fury.io/py/pysr)|
 
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+
 
 (pronounced like *py* as in python, and then *sur* as in surface)
 
@@ -17,7 +26,10 @@ If you find PySR useful, please cite it using the citation information given in
 If you've finished a project with PySR, please submit a PR to showcase your work on the [Research Showcase page](https://astroautomata.com/PySR/#/papers)!
 
 
-### Test status:
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+### Test status
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 | **Linux** | **Windows** | **macOS (intel)** |
 |---|---|---|
 |[![Linux](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml)|[![Windows](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml)|[![macOS](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml)|
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 |[![Docker](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml)|[![conda-forge](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml)|[![Coverage Status](https://coveralls.io/repos/github/MilesCranmer/PySR/badge.svg?branch=master&service=github)](https://coveralls.io/github/MilesCranmer/PySR)|
 
 
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 Check out [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl) for
 the pure-Julia backend of this package.
 
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 # Installation
 
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 | pip (macOS, Linux, Windows) | conda (macOS - only Intel, Linux) |
 |---|---|
 | 1. Install Julia manually (see [downloads](https://julialang.org/downloads/))<br>2. `pip install pysr`<br>3. `python -c 'import pysr; pysr.install()'` | 1. `conda install -c conda-forge pysr`<br>2. `python -c 'import pysr; pysr.install()'`|
 
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 This last step will install and update the required Julia packages, including
 `PyCall.jl`.