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Merge pull request #27 from Thirumalai-Shaktivel/pr_05
Fix image rendering and broken link
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content/blog/lpython_mvp.md

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In this blog, we describe features of LPython including Ahead-of-Time (AoT) compilation, JIT compilation, and interoperability with CPython. We also showcase LPython's performance against its competitors such as Numba and C++ via several benchmarks.
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![LCompilers-Diagram](images/lcompilers_diagram.png)
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![LCompilers-Diagram](https://github.com/lcompilers/lpython.org-deploy/blob/main/content/blog/images/lcompilers_diagram.png)
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## Features of LPython
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(lp) 23:10:44:~/lpython_project % # Works see the graph below
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```
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![Output graph](images/graph.png)
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![Output graph](https://github.com/lcompilers/lpython.org-deploy/blob/main/content/blog/images/graph.png)
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**Visualization using Matplotlib: Mandelbrot Set**
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Done.
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```
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![mandelbrot-set-gray](images/gray.png)
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![mandelbrot-set-gray](https://github.com/lcompilers/lpython.org-deploy/blob/main/content/blog/images/gray.png)
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![mandelbrot-set-color](images/color.png)
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![mandelbrot-set-color](https://github.com/lcompilers/lpython.org-deploy/blob/main/content/blog/images/color.png)
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## Conclusion

content/index_intro/index.md

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LPython is a Python compiler that aims to provide optimized machine code by compiling type-annotated Python code. It offers several backends, including LLVM, C, C++, and WASM, which allow it to generate code into multiple target languages simultaneously. LPython's main focus is on speed and performance, and it achieves this through various features and optimizations.
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LPython is still in development (alpha stage) and may evolve further to encompass more extensive Python code and additional optimizations.
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[LPython: Making Python faster with LLVM](/blog/2023/07/lpython-making-python-faster-with-llvm/).
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[LPython: Making Python faster with LLVM](/blog/2023/07/lpython-novel-fast-retargetable-python-compiler/).
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Main repository at GitHub:
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[https://github.com/lcompilers/lpython](https://github.com/lcompilers/lpython)

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