Merge branch 'master' of https://github.com/JuliaPy/SymPy.jl

Author: jverzani

.gitignore

@@ -5,4 +5,5 @@ docs/build
 docs/site
 Manifest.toml
 appveyor.yml
-.travis.yml
+.travis.yml
+default.profraw

Project.toml

@@ -1,6 +1,6 @@
 name = "SymPy"
 uuid = "24249f21-da20-56a4-8eb1-6a02cf4ae2e6"
-version = "2.1.1"
+version = "2.2.0"
 
 [deps]
 CommonEq = "3709ef60-1bee-4518-9f2f-acd86f176c50"
@@ -16,15 +16,13 @@ CommonSolve = "0.2"
 LinearAlgebra = "<0.0.1, 1.6"
 PyCall = "1.96.2"
 SpecialFunctions = "0.7, 0.8, 0.8, 0.10, 1, 2"
-SymbolicUtils = "1, 2"
-SymPyCore = "0.2, 1"
+SymPyCore = "0.2.5, 1"
 julia = "1.6"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
-SymbolicUtils = "d1185830-fcd6-423d-90d6-eec64667417b"
 
 [targets]
-test = ["Test", "LinearAlgebra", "SpecialFunctions", "SymbolicUtils"]
+test = ["Test", "LinearAlgebra", "SpecialFunctions"]

README.md

@@ -18,14 +18,29 @@ To use this package, both Python and its SymPy library must be
 installed on your system. If `PyCall` is installed using `Conda`
 (which is the default if no system `python` is found), then the
 underlying SymPy library will be installed via `Conda` when the
-package is first loaded. Otherwise, installing both Python and the
+package is first loaded.
+
+If there are issues, you might try installing `PyCall` first, along the lines of :
+
+```
+julia> using Pkg
+julia> ENV["PYTHON"]=""
+julia> Pkg.build("PyCall")
+julia> Pkg.add("SymPy")
+julia> using SymPy
+```
+
+
+Otherwise, installing both Python and the
 SymPy library can be done by other means.
 In this case, the `Anaconda` distribution is suggested, as it provides a single
 installation of Python that includes SymPy and many other
 scientific libraries that can be profitably accessed within `Julia`
 via `PyCall`. (Otherwise, install Python then download the SymPy
 library from https://github.com/sympy/sympy/releases and install.)
 
+
+
 To upgrade the underlying `sympy` library, which has new releases at a
 rate similar to `Julia`, when installed with `Conda`, the following commands
 are available: