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 [Awkward Array](https://github.com/scikit-hep/awkward) is a library for manipulating large-scale arrays of nested, variable-sized data in Python, using array-oriented idioms: like NumPy, but for any JSON-like data. In Python, using array-oriented idioms to avoid imperative for loops is necessary for fast computations. In Julia, imperative code is already fast, thanks to JIT-compilation, so you may be wondering why this package exists.
 
-This package is a complete, one-to-one implementation of the Awkward Array data structures in Julia, which makes it possible to zero-copy share data between the two languages. Python scripts can sneak out to Julia to run a calculation at high speed. Julia programs can duck into Python to access some code that has been written in that language. [PythonCall & JuliaCall]([https://github.com/JuliaPy/PyCall.jl](https://juliapy.github.io/PythonCall.jl/stable/conversion-to-julia/)) provide these capabilities (which this package uses) for ordinary data types; this package allows arrays of complex data to be shared as well.
+This package is a complete, one-to-one implementation of the Awkward Array data structures in Julia, which makes it possible to zero-copy share data between the two languages. Python scripts can sneak out to Julia to run a calculation at high speed. Julia programs can duck into Python to access some code that has been written in that language. [PythonCall & JuliaCall](https://juliapy.github.io/PythonCall.jl) provide these capabilities (which this package uses) for ordinary data types; this package allows arrays of complex data to be shared as well.
 
 Beyond communication with Python, columnar memory layouts have some advantages: data in an Awkward Array is less fragmented than the equivalent `Vectors` of `Vectors`, `NamedTuples`, `Missing`, and `Union` data of the built-in Julia types. Other, well-established packages provide some of these capabilities: [ArraysOfArrays.jl](https://github.com/JuliaArrays/ArraysOfArrays.jl) does `Vectors` of variable-length `Vectors`, and [StructArrays.jl](https://github.com/JuliaArrays/StructArrays.jl) toggles between array-of-structs/struct-of-arrays like Awkward records do, but Awkward Arrays represent a closure over a large suite of data types: