第一次用jupyter的时候报错怎么办?求教

系统版本是win11,julia是最新的1.8.5,装好julia准备用jupyter的时候报错了

Julia> IJulia.notebook()
install Jupyter via Conda, y/n? [y]: y
[ Info: Downloading miniconda installer ...
ERROR: HTTP/1.1 200 OK (Operation too slow. Less than 1 bytes/sec transferred the last 20 seconds) while requesting https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe
Stacktrace:
  [1] (::Downloads.var"#9#18"{IOStream, Base.DevNull, Nothing, Vector{Pair{String, String}}, Float64, Nothing, Bool, Nothing, Bool, String, Bool, Bool})(easy::Downloads.Curl.Easy)
    @ Downloads E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:387
  [2] with_handle(f::Downloads.var"#9#18"{IOStream, Base.DevNull, Nothing, Vector{Pair{String, String}}, Float64, Nothing, Bool, Nothing, Bool, String, Bool, Bool}, handle::Downloads.Curl.Easy)
    @ Downloads.Curl E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Curl\Curl.jl:88
  [3] #8
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:328 [inlined]
  [4] arg_write(f::Downloads.var"#8#17"{Base.DevNull, Nothing, Vector{Pair{String, String}}, Float64, Nothing, Bool, Nothing, Bool, String, Bool, Bool}, arg::IOStream)
    @ ArgTools E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\ArgTools\src\ArgTools.jl:134
  [5] #7
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:327 [inlined]
  [6] arg_read
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\ArgTools\src\ArgTools.jl:76 [inlined]
  [7] request(url::String; input::Nothing, output::IOStream, method::Nothing, headers::Vector{Pair{String, String}}, timeout::Float64, progress::Nothing, verbose::Bool, debug::Nothing, throw::Bool, downloader::Nothing)
    @ Downloads E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:326
  [8] #3
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:231 [inlined]
  [9] open(f::Downloads.var"#3#4"{Nothing, Vector{Pair{String, String}}, Float64, Nothing, Bool, Nothing, Nothing, String}, args::String; kwargs::Base.Pairs{Symbol, Bool, Tuple{Symbol, Symbol}, NamedTuple{(:write, :lock), Tuple{Bool, Bool}}})
    @ Base .\io.jl:384
 [10] #open_nolock#1
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\ArgTools\src\ArgTools.jl:35 [inlined]
 [11] arg_write(f::Function, arg::String)
    @ ArgTools E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\ArgTools\src\ArgTools.jl:103
 [12] #download#2
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:230 [inlined]
 [13] download
    @ E:\julia\Julia-1.8.5\share\julia\stdlib\v1.8\Downloads\src\Downloads.jl:219 [inlined]
 [14] _install_conda(env::String, force::Bool)
    @ Conda C:\Users\徐志刚\.julia\packages\Conda\x2UxR\src\Conda.jl:201
 [15] _install_conda(env::String)
    @ Conda C:\Users\徐志刚\.julia\packages\Conda\x2UxR\src\Conda.jl:191
 [16] runconda(args::Cmd, env::String)
    @ Conda C:\Users\徐志刚\.julia\packages\Conda\x2UxR\src\Conda.jl:126
 [17] add(pkg::String, env::String; channel::String)
    @ Conda C:\Users\徐志刚\.julia\packages\Conda\x2UxR\src\Conda.jl:222
 [18] add (repeats 2 times)
    @ C:\Users\徐志刚\.julia\packages\Conda\x2UxR\src\Conda.jl:220 [inlined]
 [19] find_jupyter_subcommand(subcommand::String)
    @ IJulia C:\Users\徐志刚\.julia\packages\IJulia\6TIq1\src\jupyter.jl:23
 [20] notebook(; dir::String, detached::Bool)
    @ IJulia C:\Users\徐志刚\.julia\packages\IJulia\6TIq1\src\jupyter.jl:96
 [21] notebook()
    @ IJulia C:\Users\徐志刚\.julia\packages\IJulia\6TIq1\src\jupyter.jl:94
 [22] top-level scope
    @ REPL[11]:1

此前先运行了

 using PkgServerClient

julia> PkgServerClient.registry_response_time()
Dict{String, Float64} with 9 entries:
  "BFSU"      => 0.0400064
  "OpenTUNA"  => 0.039856
  "ISCAS"     => 0.0485369
  "SJTUG"     => 0.039955
  "SUSTech"   => 0.0400637
  "TUNA"      => 0.245653
  "USTC"      => 0.126907
  "JuliaLang" => Inf
  "NJU"       => 0.214915

julia> PkgServerClient.set_mirror("SJTUG")

切换了镜像服务。。
这个问题好像是因为github访问速度太慢造成的?但是我用了steam++和edge浏览器自带的github加速插件好像都没有起到作用

你可以手动安装 jupyter,如果电脑有 python,直接运行 pip install jupyter

网络问题我通常是切小飞机,其他方法了解不多