# \[ANN\] PythonCall and JuliaCall
**URL:** https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778
**Category:** Package Announcements
**Tags:** interoperability, python, pythoncall
**Created:** [February 19, 2022, 10:49pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778 "2022-02-19T22:49:15Z")
**Posts on this page:** 5
**Page:** 5
### Author:  [@cjdoris](https://discourse.julialang.org/u/cjdoris)
#### Post date: [June 15, 2022, 4:50pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778/86 "2022-06-15T16:50:06Z")
```julia
from juliacall import Main as jl
import numpy as np
jl.seval("using Plots")
jl.display(jl.plot(np.random.randn(100)))
```
---
### Author:  [@HerAdri](https://discourse.julialang.org/u/HerAdri)
#### Post date: [June 15, 2022, 5:05pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778/87 "2022-06-15T17:05:57Z")
```julia
rjl=jl.plot(np.random.randn(100))
jl.display(rjl)
```
---
### Author:  [@dmbates](https://discourse.julialang.org/u/dmbates)
#### Post date: [June 27, 2022, 1:25pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778/88 "2022-06-27T13:25:59Z")
Is it possible to have `IJulia` and `CondaPkg` both available without creating more than one Conda instance?
I may be misunderstanding how these packages interact so let me describe my situation. I use [quarto](https://quarto.org/) for creating documents, presentations, etc. (see, e.g., section2 of [Julia Workshop - Julia Workshop for Data Science](https://crsl4.github.io/julia-workshop)). The evaluation engine for Julia code blocks in quarto is jupyter. Thus I need to have a Julia kernel specification in my Jupyter environment, which, in practice, means having [IJulia.jl](https://github.com/JuliaLang/IJulia.jl) installed, and that package depends on [Conda.jl](https://github.com/JuliaPy/Conda.jl). If I add [PythonCall.jl](https://github.com/cjdoris/PythonCall.jl) and [CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl) to my project, will I end up with two separate instances of Conda?
---
### Author:  [@stevengj](https://discourse.julialang.org/u/stevengj)
#### Post date: [June 27, 2022, 1:58pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778/89 "2022-06-27T13:58:35Z")
> [@dmbates](#):
>
> Is it possible to have `IJulia` and `CondaPkg` both available without creating more than one Conda instance?
IJulia doesn’t need you to have a Conda distro installed at all. Just launch `jupyter` yourself using whatever method you want.
> [@dmbates](#):
>
> means having [IJulia.jl](https://github.com/JuliaLang/IJulia.jl) installed, and that package depends on [Conda.jl](https://github.com/JuliaPy/Conda.jl).
The Conda.jl package is extremely lightweight — it doesn’t install any Python distro unless you explicitly ask it to. (Or if some other package that you install asks it to.)
For example, running `IJulia.jupyter()` asks you if you want to install a Conda distro to get `jupyter`. But you don’t need this if you launch `jupyter` in some other way.
---
### Author:  [@lazzarello](https://discourse.julialang.org/u/lazzarello)
#### Post date: [May 8, 2023, 11:35pm UTC](https://discourse.julialang.org/t/ann-pythoncall-and-juliacall/76778/90 "2023-05-08T23:35:55Z")
This looks great! A significant improvement in JuliaCall compared to py-julia is it does not require a custom Python be compiled on the host!
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