use png logo

Author: Christopher Doris

README.md

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-<h1><img src="https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/docs/src/assets/logo.svg" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
+<h1><img src="https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/docs/src/assets/logo.png" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
 
 [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
 [![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://cjdoris.github.io/PythonCall.jl/stable)

docs/src/assets/logo.png

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-<h1><img src="https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/docs/src/assets/logo.svg" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
+<h1><img src="https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/docs/src/assets/logo.png" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
 
 [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
 [![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://cjdoris.github.io/PythonCall.jl/stable)
@@ -43,5 +43,5 @@ The existing package [PyCall](https://github.com/JuliaPy/PyCall.jl) is another s
 - PythonCall supports a wider range of conversions between Julia and Python, and the conversion mechanism is extensible.
 - PythonCall by default never copies mutable objects when converting, but instead directly wraps the mutable object. This means that modifying the converted object modifies the original, and conversion is faster.
 - PythonCall does not usually automatically convert results to Julia values, but leaves them as Python objects. This makes it easier to do Pythonic things with these objects (e.g. accessing methods) and is type-stable.
-- PythonCall installs dependencies into a separate conda environment for each Julia project. This means each Julia project can have an isolated set of Python dependencies.
-- PythonCall supports Julia 1.4+ and Python 3.5+ whereas PyCall supports Julia 0.7+ and Python 2.7+.
+- PythonCall installs dependencies into a separate Conda environment for each Julia project. This means each Julia project can have an isolated set of Python dependencies.
+- PythonCall supports Julia 1.6+ and Python 3.5+ whereas PyCall supports Julia 0.7+ and Python 2.7+.