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I always wondered why Qt is pronounced "cute", as "cutie" would have been even cuter...
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PS: I first learned about Python in 2003 which was about the same time that Microsoft purchased Visual FoxPro and then almost immediately buried it, in an attempt to force the 250,000 VFP developers to switch to .NET. Deciding to leave M$'s locked garden I vowed never to use Visual Basic or any other M$ GUI IDE tool set again. I began casting about for another GUI IDE and found Boa-Constructor, which used Python. It was a GUI + DB environment and the widget set was not very extensive in properties and methods. IOW, it was very crude when compared to VFP6.
I gave up on Python and Boa-Constructor (development of which ceased in 2006) and continued looking. In the spring of 2004 I found Qt (pronounced "cute") from Trolltech. It has even MORE properties and methods than VFP had, and it was object oriented as well, i.e., inheritance and polymorphism. I settled on Qt4 and used it until I retired in 2008. The developer who replaced me continued using it and the Qt App I developed in 2008 is still being used 15 years later, although its been updated as the version of Qt increased.
It wasn't until the "Python Programmer" mentioned Anaconda in the fall of last year that I decided to look at Python again, for personal coding projects, and Anaconda as well. What a pleasant surprise! If you look at my "conda list" in a previous post in this thread you'll notice that qt, postgresql, tk, and a host of other GUI RAD tools are available, along with a host of libraries like panda, numpy and others for manipulating databases and math in Python code.
I'm blown away by Anaconda3.Leave a comment:
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I think I can code, I think I can code, said the little coder that could. Good advice.
Every day, in every way, I'm getting better and better. Emile Coue
Sadly, No longer taught in public schools... It's up to parents and "old school" coders now.Leave a comment:
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If you want to do some hard homework understanding Gnu/Linux, one way is to do a Gentoo install. Not to replace Kubuntu, but on a scratch drive or a spare partition somewhere.
Sent from my VFD 822 using TapatalkLeave a comment:
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Hi
If you want to do "hardware" i have installed Kubuntu on just about every piece of second hand, and a couple of times new, hardware since before I became a member here.
So, if you want to start with a new piece of hardware and learn how Kubuntu, or Ubuntu, or Linux "interacts" with hardware is to look up at he Linux hardware compatability website whether the hardware has already been vetted as being compatible or not.
If here is a problem it is "usually" a problem with headphones for laptops or printer/scanner drivers for the absolutely latest and greatest devices. HP is usually a go to but HP had the syndrome of forcing you to use their cartridges or messing up your refillables, but, generally, HP works fine. I have an old HP laserjet 6 that is still chugging out prints and also a HP 4520 Envy dual that works fine also.
The problem with older equipment is that there really are, usually, 2 ways to "do things" and you will get, usually, two dirvers to try.
So...HERE IS A TIP THAT I HAVE NEVER TOLD ANYONE ABOUT PRINTER DIRVERS.
Pick one and try it out by...
Typing ONLY the letter "A" in the top left hand corner of the word processor page. if it prints correctly then go for it.
DO NOT try to print a "page of text" or a "test page". if it is the wrong driver it can literally print out several dozen sheets printing ascii code for all that text.
As to learning the OS.
The very simplest way is just to download and install it and start playaing around with it. Ask at the forums after typing queries into the search field.
if you want to CODE for the OS, then, yeah, you need to take a class at college, maybe...
BUT just remember this. MOST of the present day "coders" did NOT get their start in college. they just starting tearing an OS apart and putting it back together.
And the easiest way to "self teach" is to do "Linux from Scratch" for which I provide a linky. I would literally recommend that you go to a "computer place" that has a "friendly person" and ask the person to install a seperate hard drive upon which you can install LFS.
And you DO THIS BY LEAVING OFF THE SIDE OF THE CASE and have the computer person PHYSICALLY SHOW YOU HOW TO PLUG AND UNPLUG the SATA plugs.
And then PAY THE PERSON and ADD IN A NICE TIP.
Thus, you can, safely, unplug your main OS and plug in the other hard drive and start building LFS without having even the least worry about messing up your main install and...
you are familiraizing yourself with the "guts" of the "hardware"...
so you are becoming experienced with both the hardware, and "Kubuntu" and also the coding of "Linux".
Just some thoughts, of little worth.
woodsmoke
Here is a linky to Linux from Scratch.
http://linuxfromscratch.org/
Here is a thread here at the forum about my "out of the box, hanging on a wall" computer that I assembled it includes a picture.
https://www.kubuntuforums.net/showth...ighlight=build
Here is a relatively good article at ARS TECHNICA about building your own computer.
https://arstechnica.com/gadgets/2011...series-part-i/Last edited by woodsmoke; Feb 21, 2021, 01:51 PM.Leave a comment:
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Indeed! Anaconda includes R, and much, much more.
One can install R in conda by using:
conda install r-essentials
I used the information on this page to install Anaconda:
https://www.digitalocean.com/communi...n-ubuntu-20-04
Here is the Anaconda Individual Edition documentation: https://docs.anaconda.com/anaconda/
Here is a handy Anaconda cheat sheet: https://docs.conda.io/projects/conda...heatsheet.html
If one likes the CLI then "conda" is the tool to use. For those liking a GUI then anaconda-navigator is for them. One can install the GUI by using
conda install -c anaconda anaconda-navigator
To update conda one uses
conda update conda
and to update anaconda one uses
conda update anaconda
One can create customized environments and call them independently. Each can have their own libraries, tools and Python version. The base environment is called "base"
I can start an environment by using conda:Code:[FONT=monospace][COLOR=#000000]:[/COLOR][COLOR=#5454ff][B]~/Documents/PythonProjects[/B][/COLOR][COLOR=#000000]$ conda env list [/COLOR] # conda environments: # base * /home/jerry/anaconda3[/FONT]
conda activate base
and deactivate it by using
conda deactivate
One can create an environment using
conda create --name my_env python=3
(python is set to three because the dev environment is "anaconda3. Ubuntu default python version is 3.7)
Then, activate it using conda activate my_env
Once active you can add or remove libararies to create just the environment you want.
To start Jupyter:
First, activate an environment. Start FireFox Then issue
jupyter notebook
It will have the following URL: http://localhost:8888/tree
To close it hit the Quit button, then the "x" on the box saying it has shut down, then delete the tab it is in.
Here is what my Anaconda listing contains:
Code:[FONT=monospace][COLOR=#000000]:[/COLOR][COLOR=#5454ff][B]~/Documents/PythonProjects[/B][/COLOR][COLOR=#000000]$ conda list [/COLOR] # packages in environment at /home/jerry/anaconda3: # # Name Version Build Channel _anaconda_depends 2020.07 py38_0 _ipyw_jlab_nb_ext_conf 0.1.0 py38_0 _libgcc_mutex 0.1 main _r-mutex 1.0.0 anacondar_1 _tflow_select 2.3.0 mkl absl-py 0.11.0 pyhd3eb1b0_1 aiohttp 3.6.3 py38h7b6447c_0 alabaster 0.7.12 pyhd3eb1b0_0 anaconda custom py38_1 anaconda-client 1.7.2 py38_0 anaconda-doc 2020.11 0 anaconda-navigator 1.10.0 py38_0 anaconda anaconda-project 0.9.1 pyhd3eb1b0_1 appdirs 1.4.4 py_0 argh 0.26.2 py38_0 argon2-cffi 20.1.0 py38h7b6447c_1 asn1crypto 1.4.0 py_0 astroid 2.4.2 py38_0 astropy 4.2 py38h27cfd23_0 astunparse 1.6.3 py_0 async-timeout 3.0.1 py38h06a4308_0 async_generator 1.10 pyhd3eb1b0_0 asyncpg 0.21.0 py38h7b6447c_0 anaconda atomicwrites 1.4.0 py_0 attrs 20.3.0 pyhd3eb1b0_0 autopep8 1.5.4 py_0 babel 2.9.0 pyhd3eb1b0_0 backcall 0.2.0 pyhd3eb1b0_0 backports 1.0 pyhd3eb1b0_2 backports.functools_lru_cache 1.6.1 pyhd3eb1b0_0 backports.shutil_get_terminal_size 1.0.0 pyhd3eb1b0_3 backports.tempfile 1.0 pyhd3eb1b0_1 backports.weakref 1.0.post1 py_1 beautifulsoup4 4.9.3 pyha847dfd_0 benfordslaw 1.0.1 pypi_0 pypi binutils_impl_linux-64 2.31.1 h6176602_1 binutils_linux-64 2.31.1 h6176602_9 bitarray 1.6.3 py38h27cfd23_1 bkcharts 0.2 py38_0 black 19.10b0 py_0 blas 1.0 mkl bleach 3.2.3 pyhd3eb1b0_0 blinker 1.4 py38h06a4308_0 blosc 1.20.1 hd408876_0 bokeh 2.2.3 py38_0 boto 2.49.0 py38_0 bottleneck 1.3.2 py38heb32a55_1 brotli 1.0.9 he6710b0_2 brotlipy 0.7.0 py38h27cfd23_1003 brunsli 0.1 h2531618_0 bwidget 1.9.11 1 bzip2 1.0.8 h7b6447c_0 c-ares 1.17.1 h27cfd23_0 ca-certificates 2021.1.19 h06a4308_0 cachetools 4.2.1 pyhd3eb1b0_0 cairo 1.14.12 h8948797_3 certifi 2020.12.5 py38h06a4308_0 cffi 1.14.4 py38h261ae71_0 chardet 3.0.4 py38h06a4308_1003 charls 2.1.0 he6710b0_2 click 7.1.2 pyhd3eb1b0_0 cloudpickle 1.6.0 py_0 clyent 1.2.2 py38_1 colorama 0.4.4 pyhd3eb1b0_0 conda 4.9.2 py38h06a4308_0 conda-build 3.20.5 py38_1 conda-env 2.6.0 1 conda-package-handling 1.7.2 py38h03888b9_0 conda-verify 3.4.2 py_1 contextlib2 0.6.0.post1 py_0 cryptography 3.3.1 py38h3c74f83_0 curl 7.69.1 hbc83047_0 anaconda cycler 0.10.0 py38_0 cython 0.29.21 py38h2531618_0 cytoolz 0.11.0 py38h7b6447c_0 dask 2021.1.1 pyhd3eb1b0_0 dask-core 2021.1.1 pyhd3eb1b0_0 dbus 1.13.18 hb2f20db_0 decorator 4.4.2 pyhd3eb1b0_0 defusedxml 0.6.0 py_0 diff-match-patch 20200713 py_0 distributed 2021.1.1 py38h06a4308_1 docutils 0.16 py38_1 entrypoints 0.3 py38_0 et_xmlfile 1.0.1 py_1001 expat 2.2.10 he6710b0_2 fastcache 1.1.0 py38h7b6447c_0 fftw 3.3.9 h27cfd23_1 filelock 3.0.12 pyhd3eb1b0_1 flake8 3.8.4 py_0 flask 1.1.2 pyhd3eb1b0_0 fontconfig 2.13.0 h9420a91_0 freetype 2.10.4 h5ab3b9f_0 fribidi 1.0.10 h7b6447c_0 fsspec 0.8.3 py_0 future 0.18.2 py38_1 gast 0.3.3 py_0 gcc_impl_linux-64 7.3.0 habb00fd_1 gcc_linux-64 7.3.0 h553295d_9 get_terminal_size 1.0.0 haa9412d_0 gevent 21.1.1 py38h27cfd23_1 gfortran_impl_linux-64 7.3.0 hdf63c60_1 gfortran_linux-64 7.3.0 h553295d_9 giflib 5.1.4 h14c3975_1 glib 2.66.1 h92f7085_0 glob2 0.7 pyhd3eb1b0_0 gmp 6.1.2 h6c8ec71_1 gmpy2 2.0.8 py38hd5f6e3b_3 google-auth 1.24.0 pyhd3eb1b0_0 google-auth-oauthlib 0.4.2 pyhd3eb1b0_2 google-pasta 0.2.0 py_0 graphite2 1.3.14 h23475e2_0 greenlet 1.0.0 py38h2531618_2 grpcio 1.31.0 py38hf8bcb03_0 gsl 2.4 h14c3975_4 gst-plugins-base 1.14.0 h8213a91_2 gstreamer 1.14.0 h28cd5cc_2 gxx_impl_linux-64 7.3.0 hdf63c60_1 gxx_linux-64 7.3.0 h553295d_9 h5py 2.10.0 py38h7918eee_0 harfbuzz 2.4.0 hca77d97_1 hdf5 1.10.4 hb1b8bf9_0 heapdict 1.0.1 py_0 html5lib 1.1 py_0 icu 58.2 he6710b0_3 idna 2.10 pyhd3eb1b0_0 imagecodecs 2021.1.11 py38h581e88b_1 imageio 2.9.0 py_0 imagesize 1.2.0 pyhd3eb1b0_0 importlib-metadata 2.0.0 py_1 importlib_metadata 2.0.0 1 iniconfig 1.1.1 pyhd3eb1b0_0 intel-openmp 2020.2 254 intervaltree 3.1.0 py_0 ipykernel 5.3.4 py38h5ca1d4c_0 ipypm 0.2.8 pypi_0 pypi ipython 7.19.0 py38hb070fc8_1 ipython_genutils 0.2.0 pyhd3eb1b0_1 ipywidgets 7.6.3 pyhd3eb1b0_1 isort 5.6.4 py_0 itsdangerous 1.1.0 pyhd3eb1b0_0 jbig 2.1 hdba287a_0 jdcal 1.4.1 py_0 jedi 0.17.2 py38h06a4308_1 jeepney 0.6.0 pyhd3eb1b0_0 jinja2 2.11.2 pyhd3eb1b0_0 joblib 1.0.0 pyhd3eb1b0_0 jpeg 9b h024ee3a_2 json5 0.9.5 py_0 jsonschema 3.2.0 py_2 jupyter 1.0.0 py38_7 jupyter_client 6.1.7 py_0 jupyter_console 6.2.0 py_0 jupyter_core 4.7.0 py38h06a4308_0 jupyterlab 2.2.6 py_0 jupyterlab_pygments 0.1.2 py_0 jupyterlab_server 1.2.0 py_0 jupyterlab_widgets 1.0.0 pyhd3eb1b0_1 jxrlib 1.1 h7b6447c_2 keras 2.4.3 0 anaconda keras-base 2.4.3 py_0 keras-preprocessing 1.1.0 py_1 keyring 22.0.1 py38h06a4308_0 kiwisolver 1.3.0 py38h2531618_0 krb5 1.17.1 h173b8e3_0 lazy-object-proxy 1.4.3 py38h27cfd23_2 lcms2 2.11 h396b838_0 ld_impl_linux-64 2.33.1 h53a641e_7 lerc 2.2.1 h2531618_0 libaec 1.0.4 he6710b0_1 libarchive 3.4.2 h62408e4_0 libcurl 7.69.1 h20c2e04_0 anaconda libdeflate 1.7 h27cfd23_5 libedit 3.1.20191231 h14c3975_1 libffi 3.3 he6710b0_2 libgcc-ng 9.1.0 hdf63c60_0 libgfortran-ng 7.3.0 hdf63c60_0 liblief 0.10.1 he6710b0_0 libllvm10 10.0.1 hbcb73fb_5 libllvm9 9.0.1 h4a3c616_1 libpng 1.6.37 hbc83047_0 libpq 12.2 h20c2e04_0 libprotobuf 3.13.0.1 hd408876_0 libsodium 1.0.18 h7b6447c_0 libspatialindex 1.9.3 he6710b0_0 libssh2 1.9.0 h1ba5d50_1 libstdcxx-ng 9.1.0 hdf63c60_0 libtiff 4.1.0 h2733197_1 libtool 2.4.6 h7b6447c_1005 libuuid 1.0.3 h1bed415_2 libwebp 1.0.1 h8e7db2f_0 libxcb 1.14 h7b6447c_0 libxml2 2.9.10 hb55368b_3 libxslt 1.1.34 hc22bd24_0 libzopfli 1.0.3 he6710b0_0 llvmlite 0.34.0 py38h269e1b5_4 locket 0.2.1 py38h06a4308_1 lxml 4.6.2 py38h9120a33_0 lz4-c 1.9.3 h2531618_0 lzo 2.10 h7b6447c_2 make 4.2.1 h1bed415_1 markdown 3.3.3 py38h06a4308_0 markupsafe 1.1.1 py38h7b6447c_0 matplotlib 3.3.2 h06a4308_0 matplotlib-base 3.3.2 py38h817c723_0 mccabe 0.6.1 py38_1 mistune 0.8.4 py38h7b6447c_1000 mkl 2020.2 256 mkl-service 2.3.0 py38he904b0f_0 mkl_fft 1.2.0 py38h23d657b_0 mkl_random 1.1.1 py38h0573a6f_0 mock 4.0.3 pyhd3eb1b0_0 more-itertools 8.6.0 pyhd3eb1b0_0 mpc 1.1.0 h10f8cd9_1 mpfr 4.0.2 hb69a4c5_1 mpmath 1.1.0 py38_0 msgpack-python 1.0.1 py38hff7bd54_0 multidict 4.7.6 py38h7b6447c_1 multipledispatch 0.6.0 py38_0 mypy_extensions 0.4.3 py38_0 navigator-updater 0.2.1 py38_0 nbclient 0.5.1 py_0 nbconvert 6.0.7 py38_0 nbformat 5.1.2 pyhd3eb1b0_1 ncurses 6.2 he6710b0_1 nest-asyncio 1.4.3 pyhd3eb1b0_0 networkx 2.5 py_0 nltk 3.5 py_0 nose 1.3.7 pyhd3eb1b0_1006 notebook 6.2.0 py38h06a4308_0 numba 0.51.2 py38h0573a6f_1 numexpr 2.7.2 py38hb2eb853_0 numpy 1.19.2 py38h54aff64_0 numpy-base 1.19.2 py38hfa32c7d_0 numpydoc 1.1.0 pyhd3eb1b0_1 oauthlib 3.1.0 py_0 olefile 0.46 py_0 openjpeg 2.3.0 h05c96fa_1 openpyxl 3.0.6 pyhd3eb1b0_0 openssl 1.1.1i h27cfd23_0 opt_einsum 3.1.0 py_0 packaging 20.9 pyhd3eb1b0_0 pandas 1.2.1 py38ha9443f7_0 pandoc 2.11 hb0f4dca_0 pandocfilters 1.4.3 py38h06a4308_1 pango 1.45.3 hd140c19_0 parso 0.7.0 py_0 partd 1.1.0 py_0 patchelf 0.12 h2531618_1 path 15.1.0 py38h06a4308_0 path.py 12.5.0 0 pathlib2 2.3.5 py38h06a4308_2 pathspec 0.7.0 py_0 pathtools 0.1.2 py_1 patsy 0.5.1 py38_0 pcre 8.44 he6710b0_0 pep8 1.7.1 py38_0 pexpect 4.8.0 pyhd3eb1b0_3 pg8000 1.16.6 py_0 pickleshare 0.7.5 pyhd3eb1b0_1003 pillow 8.1.0 py38he98fc37_0 pip 20.3.3 py38h06a4308_0 pixman 0.40.0 h7b6447c_0 pkginfo 1.7.0 py38h06a4308_0 pluggy 0.13.1 py38_0 ply 3.11 py38_0 postgresql 12.2 h20c2e04_0 anaconda prometheus_client 0.9.0 pyhd3eb1b0_0 prompt-toolkit 3.0.8 py_0 prompt_toolkit 3.0.8 0 protobuf 3.13.0.1 py38he6710b0_1 psutil 5.7.2 py38h7b6447c_0 ptyprocess 0.7.0 pyhd3eb1b0_2 py 1.10.0 pyhd3eb1b0_0 py-lief 0.10.1 py38h403a769_0 pyasn1 0.4.8 py_0 pyasn1-modules 0.2.8 py_0 pycodestyle 2.6.0 py_0 pycosat 0.6.3 py38h7b6447c_1 pycparser 2.20 py_2 pycurl 7.43.0.5 py38h1ba5d50_0 anaconda pydocstyle 5.1.1 py_0 pyerfa 1.7.1.1 py38h27cfd23_1 pyflakes 2.2.0 py_0 pygments 2.7.4 pyhd3eb1b0_0 pyjwt 1.7.1 py38_0 pylint 2.6.0 py38_0 pyls-black 0.4.6 hd3eb1b0_0 pyls-spyder 0.3.0 pyhd3eb1b0_0 pyodbc 4.0.30 py38he6710b0_0 pyopenssl 20.0.1 pyhd3eb1b0_1 pyparsing 2.4.7 pyhd3eb1b0_0 pypmca 0.2.16 pypi_0 pypi pyqt 5.9.2 py38h05f1152_4 pyrsistent 0.17.3 py38h7b6447c_0 pysocks 1.7.1 py38h06a4308_0 pytables 3.6.1 py38h9fd0a39_0 pytest 6.2.2 py38h06a4308_2 python 3.8.5 h7579374_1 python-dateutil 2.8.1 pyhd3eb1b0_0 python-jsonrpc-server 0.4.0 py_0 python-language-server 0.36.2 pyhd3eb1b0_0 python-libarchive-c 2.9 pyhd3eb1b0_0 pytz 2020.5 pyhd3eb1b0_0 pywavelets 1.1.1 py38h7b6447c_2 pyxdg 0.27 pyhd3eb1b0_0 pyyaml 5.4.1 py38h27cfd23_1 pyzmq 20.0.0 py38h2531618_1 qdarkstyle 2.8.1 py_0 qt 5.9.7 h5867ecd_1 qtawesome 1.0.1 py_0 qtconsole 4.7.7 py_0 qtpy 1.9.0 py_0 r-askpass 1.0 r36h14c3975_0 r-assertthat 0.2.1 r36h6115d3f_0 r-backports 1.1.4 r36h96ca727_0 r-base 3.6.1 haffb61f_2 r-base64enc 0.1_3 r36h96ca727_4 r-bh 1.69.0_1 r36h6115d3f_0 r-boot 1.3_20 r36h6115d3f_0 r-broom 0.5.2 r36h6115d3f_0 r-callr 3.2.0 r36h6115d3f_0 r-caret 6.0_83 r36h96ca727_0 r-cellranger 1.1.0 r36h6115d3f_0 r-class 7.3_15 r36h96ca727_0 r-cli 1.1.0 r36h6115d3f_0 r-clipr 0.6.0 r36h6115d3f_0 r-cluster 2.0.8 r36ha65eedd_0 r-codetools 0.2_16 r36h6115d3f_0 r-colorspace 1.4_1 r36h96ca727_0 r-crayon 1.3.4 r36h6115d3f_0 r-curl 3.3 r36h96ca727_0 r-data.table 1.12.2 r36h96ca727_0 r-dbi 1.0.0 r36h6115d3f_0 r-dbplyr 1.4.0 r36h6115d3f_0 r-dichromat 2.0_0 r36h6115d3f_4 r-digest 0.6.18 r36h96ca727_0 r-dplyr 0.8.0.1 r36h29659fb_0 r-ellipsis 0.1.0 r36h96ca727_0 r-essentials 3.6.0 r36_0 r-evaluate 0.13 r36h6115d3f_0 r-fansi 0.4.0 r36h96ca727_0 r-forcats 0.4.0 r36h6115d3f_0 r-foreach 1.4.4 r36h6115d3f_0 r-foreign 0.8_71 r36h96ca727_0 r-formatr 1.6 r36h6115d3f_0 r-fs 1.2.7 r36h29659fb_0 r-generics 0.0.2 r36h6115d3f_0 r-ggplot2 3.1.1 r36h6115d3f_0 r-glmnet 2.0_16 r36ha65eedd_0 r-glue 1.3.1 r36h96ca727_0 r-gower 0.2.0 r36h96ca727_0 r-gtable 0.3.0 r36h6115d3f_0 r-haven 2.1.0 r36h29659fb_0 r-hexbin 1.27.2 r36ha65eedd_0 r-highr 0.8 r36h6115d3f_0 r-hms 0.4.2 r36h6115d3f_0 r-htmltools 0.3.6 r36h29659fb_0 r-htmlwidgets 1.3 r36h6115d3f_0 r-httpuv 1.5.1 r36h29659fb_0 r-httr 1.4.0 r36h6115d3f_0 r-ipred 0.9_8 r36h96ca727_0 r-irdisplay 0.7.0 r36h6115d3f_0 r-irkernel 0.8.15 r36_0 r-iterators 1.0.10 r36h6115d3f_0 r-jsonlite 1.6 r36h96ca727_0 r-kernsmooth 2.23_15 r36ha65eedd_4 r-knitr 1.22 r36h6115d3f_0 r-labeling 0.3 r36h6115d3f_4 r-later 0.8.0 r36h29659fb_0 r-lattice 0.20_38 r36h96ca727_0 r-lava 1.6.5 r36h6115d3f_0 r-lazyeval 0.2.2 r36h96ca727_0 r-lubridate 1.7.4 r36h29659fb_0 r-magrittr 1.5 r36h6115d3f_4 r-maps 3.3.0 r36h96ca727_0 r-markdown 0.9 r36h96ca727_0 r-mass 7.3_51.3 r36h96ca727_0 r-matrix 1.2_17 r36h96ca727_0 r-mgcv 1.8_28 r36h96ca727_0 r-mime 0.6 r36h96ca727_0 r-modelmetrics 1.2.2 r36h29659fb_0 r-modelr 0.1.4 r36h6115d3f_0 r-munsell 0.5.0 r36h6115d3f_0 r-nlme 3.1_139 r36ha65eedd_0 r-nnet 7.3_12 r36h96ca727_0 r-numderiv 2016.8_1 r36h6115d3f_0 r-openssl 1.3 r36h96ca727_0 r-pbdzmq 0.3_3 r36h5455479_1 r-pillar 1.3.1 r36h6115d3f_0 r-pkgconfig 2.0.2 r36h6115d3f_0 r-plogr 0.2.0 r36h6115d3f_0 r-plyr 1.8.4 r36h29659fb_0 r-prettyunits 1.0.2 r36h6115d3f_0 r-processx 3.3.0 r36h96ca727_0 r-prodlim 2018.04.18 r36h29659fb_0 r-progress 1.2.0 r36h6115d3f_0 r-promises 1.0.1 r36h29659fb_0 r-ps 1.3.0 r36h96ca727_0 r-purrr 0.3.2 r36h96ca727_0 r-quantmod 0.4_14 r36h6115d3f_0 r-r6 2.4.0 r36h6115d3f_0 r-randomforest 4.6_14 r36ha65eedd_0 r-rbokeh 0.6.3 r36_0 r-rcolorbrewer 1.1_2 r36h6115d3f_0 r-rcpp 1.0.1 r36h29659fb_0 r-rcpproll 0.3.0 r36h29659fb_0 r-readr 1.3.1 r36h29659fb_0 r-readxl 1.3.1 r36h29659fb_0 r-recipes 0.1.5 r36h6115d3f_0 r-recommended 3.6.0 r36_0 r-rematch 1.0.1 r36h6115d3f_0 r-repr 0.19.2 r36h6115d3f_0 r-reprex 0.2.1 r36h6115d3f_0 r-reshape2 1.4.3 r36h29659fb_0 r-rlang 0.3.4 r36h96ca727_0 r-rmarkdown 1.12 r36h6115d3f_0 r-rpart 4.1_15 r36h96ca727_0 r-rstudioapi 0.10 r36h6115d3f_0 r-rvest 0.3.3 r36h6115d3f_0 r-scales 1.0.0 r36h29659fb_0 r-selectr 0.4_1 r36h6115d3f_0 r-shiny 1.3.2 r36h6115d3f_0 r-sourcetools 0.1.7 r36h29659fb_0 r-spatial 7.3_11 r36h96ca727_4 r-squarem 2017.10_1 r36h6115d3f_0 r-stringi 1.4.3 r36h29659fb_0 r-stringr 1.4.0 r36h6115d3f_0 r-survival 2.44_1.1 r36h96ca727_0 r-sys 3.2 r36h96ca727_0 r-tibble 2.1.1 r36h96ca727_0 r-tidyr 0.8.3 r36h29659fb_0 r-tidyselect 0.2.5 r36h29659fb_0 r-tidyverse 1.2.1 r36h6115d3f_0 r-timedate 3043.102 r36h6115d3f_0 r-tinytex 0.12 r36h6115d3f_0 r-ttr 0.23_4 r36ha65eedd_0 r-utf8 1.1.4 r36h96ca727_0 r-uuid 0.1_2 r36h96ca727_4 r-viridislite 0.3.0 r36h6115d3f_0 r-whisker 0.3_2 r36h6115d3f_4 r-withr 2.1.2 r36h6115d3f_0 r-xfun 0.6 r36h6115d3f_0 r-xml2 1.2.0 r36h29659fb_0 r-xtable 1.8_4 r36h6115d3f_0 r-xts 0.11_2 r36h96ca727_0 r-yaml 2.2.0 r36h96ca727_0 r-zoo 1.8_6 r36h96ca727_0 readline 8.1 h27cfd23_0 regex 2020.11.13 py38h27cfd23_0 requests 2.25.1 pyhd3eb1b0_0 requests-oauthlib 1.3.0 py_0 ripgrep 12.1.1 0 rope 0.18.0 py_0 rsa 4.7 pyhd3eb1b0_1 rtree 0.9.4 py38_1 ruamel_yaml 0.15.87 py38h7b6447c_1 scikit-image 0.17.2 py38hdf5156a_0 scikit-learn 0.23.2 py38h0573a6f_0 scipy 1.5.2 py38h0b6359f_0 scramp 1.1.1 py_0 seaborn 0.11.1 pyhd3eb1b0_0 secretstorage 3.3.0 py38h06a4308_0 send2trash 1.5.0 pyhd3eb1b0_1 setuptools 52.0.0 py38h06a4308_0 simplegeneric 0.8.1 py38_2 singledispatch 3.4.0.3 py_1001 sip 4.19.13 py38he6710b0_0 six 1.15.0 py38h06a4308_0 snappy 1.1.8 he6710b0_0 snowballstemmer 2.1.0 pyhd3eb1b0_0 sortedcollections 2.1.0 pyhd3eb1b0_0 sortedcontainers 2.3.0 pyhd3eb1b0_0 soupsieve 2.1 pyhd3eb1b0_0 sphinx 3.4.3 pyhd3eb1b0_0 sphinxcontrib 1.0 py38_1 sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0 sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0 sphinxcontrib-htmlhelp 1.0.3 pyhd3eb1b0_0 sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0 sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0 sphinxcontrib-serializinghtml 1.1.4 pyhd3eb1b0_0 sphinxcontrib-websupport 1.2.4 py_0 spyder 4.2.0 py38h06a4308_0 spyder-kernels 1.10.1 py38h06a4308_0 sqlalchemy 1.3.21 py38h27cfd23_0 sqlite 3.33.0 h62c20be_0 statsmodels 0.12.1 py38h27cfd23_0 sympy 1.7.1 py38h06a4308_0 tbb 2020.3 hfd86e86_0 tblib 1.7.0 py_0 tensorboard 2.3.0 pyh4dce500_0 tensorboard-plugin-wit 1.6.0 py_0 tensorflow 2.2.0 mkl_py38h6d3daf0_0 tensorflow-base 2.2.0 mkl_py38h5059a2d_0 tensorflow-estimator 2.2.0 pyh208ff02_0 termcolor 1.1.0 py38_1 terminado 0.9.2 py38h06a4308_0 testpath 0.4.4 pyhd3eb1b0_0 texttable 1.6.3 pypi_0 pypi threadpoolctl 2.1.0 pyh5ca1d4c_0 three-merge 0.1.1 pyhd3eb1b0_0 tifffile 2021.1.14 pyhd3eb1b0_1 tk 8.6.10 hbc83047_0 tktable 2.10 h14c3975_0 toml 0.10.1 py_0 toolz 0.11.1 pyhd3eb1b0_0 tornado 6.1 py38h27cfd23_0 tqdm 4.56.0 pyhd3eb1b0_0 traitlets 5.0.5 pyhd3eb1b0_0 typed-ast 1.4.2 py38h27cfd23_1 typing_extensions 3.7.4.3 pyh06a4308_0 ujson 4.0.2 py38h2531618_0 unicodecsv 0.14.1 py38_0 unixodbc 2.3.9 h7b6447c_0 urllib3 1.26.3 pyhd3eb1b0_0 watchdog 0.10.4 py38h06a4308_0 wcwidth 0.2.5 py_0 webencodings 0.5.1 py38_1 werkzeug 1.0.1 pyhd3eb1b0_0 wget 3.2 pypi_0 pypi wheel 0.36.2 pyhd3eb1b0_0 widgetsnbextension 3.5.1 py38_0 wrapt 1.11.2 py38h7b6447c_0 wurlitzer 2.0.1 py38_0 xlrd 2.0.1 pyhd3eb1b0_0 xlsxwriter 1.3.7 py_0 xlwt 1.3.0 py38_0 xmltodict 0.12.0 py_0 xz 5.2.5 h7b6447c_0 yaml 0.2.5 h7b6447c_0 yapf 0.30.0 py_0 yarl 1.6.3 py38h27cfd23_0 zeromq 4.3.3 he6710b0_3 zfp 0.5.5 h2531618_4 zict 2.0.0 py_0 zipp 3.4.0 pyhd3eb1b0_0 zlib 1.2.11 h7b6447c_3 zope 1.0 py38_1 zope.event 4.5.0 py38_0 zope.interface 5.2.0 py38h27cfd23_0 zstd 1.4.5 h9ceee32_0 [/FONT]
And, here is my Anaconda information:
Code:[COLOR=#54ff54][B]jerry@jerryAspire-V3-771[/B][/COLOR][COLOR=#000000]:[/COLOR][COLOR=#5454ff][B]~/Documents/PythonProjects[/B][/COLOR][COLOR=#000000]$ conda info [/COLOR] active environment : None shell level : 0 user config file : /home/jerry/.condarc populated config files : /home/jerry/.condarc conda version : 4.9.2 conda-build version : 3.20.5 python version : 3.8.5.final.0 virtual packages : __cuda=9.1=0 __glibc=2.31=0 __unix=0=0 __archspec=1=x86_64 base environment : /home/jerry/anaconda3 (writable) channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch package cache : /home/jerry/anaconda3/pkgs /home/jerry/.conda/pkgs envs directories : /home/jerry/anaconda3/envs /home/jerry/.conda/envs platform : linux-64 user-agent : conda/4.9.2 requests/2.25.1 CPython/3.8.5 Linux/5.4.0-65-generic ubuntu/20.04.2 glibc/2.31 UID:GID : 1000:1000 netrc file : None offline mode : FalseCode:Last edited by GreyGeek; Feb 21, 2021, 02:12 PM.Leave a comment:
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Your intuition about "fu" was spot on!Originally posted by gshockxcc View Post
That's been my experience with Kubuntu since 2009. I do a lot of tweaking and experimenting. This evening I noticed that ".../snapd" was in my PATH environment variable. I'd purged snap and chromium from my system and removed all of their services. I edited "/etc/environment" to remove it and noticed that ":/sbin:" was in PATH too.Originally posted by gshockxcc View Post
Never saw that before. So, I took it out and deleted that link (/sbin --> /usr/sbin). Then I logged out. Couldn't log back in and rebooting didn't help. So, I booted from the LiveUSB stick I ALWAYS keep in my pants watch pocket. Once I had a desktop I opened a Konsole and "sudo -i" to root. There I did "blkid" to make sure the LiveUSB could see my drives and then used "mount /dev/sda1 /mnt" to mount my system. With it mounted I did "mv /mnt/@ /mnt/@old" and then "btrfs su snapshot /mnt/@_rw /mnt@". The @_rw subvolume is my instant backup of my @ subvolume. I shutdown, removed the LiveUSB stick and rebooted. Things came back up normally. Ya gotta love BTRFS! I did some looking around about the /sbin link and found this. Never noticed those links till this evening.
Quickly let me say that you'll need at least an 8 core CPU (each core is a thread, 16 core if you can afford it), at least 16GB of RAM (32 or 64 would be better) and an Nvidia GPU with as much RAM on it as you can afford. GPU's make great compuational engines!Originally posted by gshockxcc View Post
WOOT! A man after my own heart! I taught Gen Chem, Org Chem, Physics, Calc I, II and III, DiffEq, Anatomy&Physiology and Microbiology (I have major hours in all those fields) as an Assoc Prof of Science at nearby college for 10 years. Thermo is one of my favorite interests.
For several years I used Maxima, then I switched to Sage. Sage was great until it was switched to requiring a cloud account. About a year ago I was casting about for something to replace Sage (which is an awesome tool if you don't mind having your stuff in the cloud. It also is geared for a classroom environment where students create subaccounts under their teacher's account and he can monitor them all.) and saw a YT video by Giles McMullen-Klein, a PhD in Physics. He uses Anaconda with Python. A list of his videos is here. I was intrigued and watch several of his videos relating to Anaconda and Python as tools for data analysis, graphing, tensorflow analysis, and a host of other topics. There are a lot of Anaconda YT videos that explain about everything from installation to building a UFO ... well, not that far, yet.
Also, Anaconda comes with Jupyter as the notebook front end to a variety of math, data and science libraries. I just love it! It's not in the repository but you can get it from here:
https://linuxhint.com/install-anacon...hon-on-ubuntu/
The software is here: https://repo.anaconda.com/archive/An...inux-x86_64.sh
It is an sh script. I followed the steps listed on the linuxhints.com page and they worked beautifully. Once installed, all updating and library downloads are handled from within Anaconda.
Searching on the Internet is an art. You can being by using the phrase "how to use Google to search the internet" on Google. (I prefer StartPage or DuckDuckGo because they don't track your internet usage).Originally posted by gshockxcc View PostLeave a comment:
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GG,
Obviously, I do not have programming "fu". I'm not even sure what that is. I think it's a joke, alluding to the idea that programming is like kung fu, and you need to have skills to battle in this domain. I don't. So my "fu" is not strong ... if I even have it.
Someday, yes, I would like to build a linux system from scratch, but I'm not there yet. I don't even understand why I like Linux (Kubuntu) better than windows. I just know that I do because it "works", and things don't break unless I break them.
My used case is engineering computations, ANSYS, Matlab, Octave, thermodynamics, chemistry, etc.
I'm running Groovy (20.10) on an HP Pavillion laptop, and a Dell Vostro 1520, circa 2009. Both seem to be working perfectly as well. I have been running some form of Ubuntu since 2007, but I honestly can't remember what versions.
This gets at the hear of my question:
How do I do that? I know, that sounds like a stupid question, but for someone who's never looked into this before, I don't know what I'm searching for. Do I just do a simple internet search for "will AMD Ryzen chip work on Ubuntu 20.10"? Or is there something specific that I'm looking for when I find the chip specs?you'll have to do Internet research on each component to make sure it is Ubuntu 20.04 compatible.
Don't get me wrong, Ubuntu has been near bullet proof right out of the box, so to speak. Anything that wasn't working, as long as I had an internet connection, I could use the forums, find packages, etc, and get it working. But I don't want to get "unlucky" and box myself into a corner by getting a chip and mobo with RAM or a graphics card that doesn't play nice.
That's a great idea. I didn't even know that was an option. If I can make the time, I might just do that. I'm not trying to start a new profession, but I want to know as much as I can - what is practical for my needs.Learn more about the Linux OS? If you are going to go to all that time and trouble why not simple study for a Linux A+ certificate and formalize your knowledge? Here's a link to a study guide on Amazon.
A link to a bunch of Linux related books on Amazon is here.
Have fun and good luck!
Thanks for all of your suggestions. Tremendous help.Leave a comment:
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Jlittle, could be my naivete as well. The reason I stated the incompatibilities is because I selected a chip (AMD Ryzen), then a MoBo (ASUS - don't recall the model), and then started picking some RAM. I was using Newegg's Build a PC tool. When I got to the RAM, I wanted 64 for some advanced computations, ANSYS, Matlab, Octave, etc. I also wanted to use the Desktop as a server for OpenVPN, so I can access my home network from away when I'm traveling for work (I still don't know how to do that yet). But the G.Skill RAM that I wanted wasn't one of the approved models for the MoBo mfr. So I had to keep going back and forth between the available RAM options and the verified RAM according to ASUS for that model MOBO. I reconfigured a couple of times and found that I was always in some kind of situation where the RAM I wanted wasn't verified for the board I had selected. I also found that once I changed to a board that worked the AMD chip that I had selected didn't work with that board, so I had to select another model, and all the available options were out of stock. After a couple of hours, I figured that I better know WHY I was selecting the hardware, instead of just guessing because it looked good in the box, or the name sounded cool.
Ryzen. G.Skill. How can you go wrong?
Or, maybe I just have no idea what I'm doing, and I'm showing my ignorance on the internet for all to see.
I'm down for "lurking" in KFN. Whether I've got time or not is another story.
Thanks for all the comments. I truly appreciate you taking the time.Leave a comment:
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TWP, thanks for the comments. I tend to go the opposite direction and prefer the Desktops. I'm also partial to the AMD chips, and I've been looking at the Ryzen chipsets. Selecting the MoBo, graphics cards, and memory is where things start to get messy for me. I will post back with some specifics and go from there. Thanks for your help.Leave a comment:
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Do you want to build BOTH your PC and Kubuntu from source as well?Originally posted by gshockxcc View Post
Building Kubuntu from source is well beyond your capabilities if you do not have programming fu. So I am going to assume you will be installing from an ISO that you downloaded.
The next question is "What is your use case?" Gaming? Accounting? Just browsing and emailing? Learning and practicing programming and database administration? Which hardware you choose depends on your use case.
Ubuntu lumps desktops and laptops into one catagory: Desktops. Canonical created a certification page on which they list makes and models they have certified to run with Ubuntu 20.04: https://certification.ubuntu.com/desktop
which is their list of manufacturers who ship their computers preloaded with Ubuntu. These are new or relatively new machines. IF you choose an older Ubuntu ISO then the list of machines are those released at the same time as the ISO that were also preinstalled with Ubuntu. Following the ISO releases into the past gives you a collection of hardware that is compatible with Ubuntu. My laptop is an Acer Aspire V3-771G, which I purchased new in 2012. It has run every release of Kubuntu since 9.04 Alpha flawlessly, and continues to this day running 20.04.2. Since 2004 I've only used Acer hardware and have never had problems with it. But, I've also installed Kubuntu on Samsung, Toshiba, HP, Dell and other hardware for various folks and had equal success with those makes.
An ISO is a window on the world of Linux. Even at a size of 4GB+ it is too small to include the drivers for every make and model of every computer ever made. Computers released after the ISO was released may have hardware problems because drivers for the new hardware weren't available when the ISO was released. And, to make room for hardware most recently released before the ISO was, drivers for older hardware are removed, reducing the ISO's compatibility with older hardware. A prime example is the removal of 32bit kernels and drivers.
Thus, sometime in the future I expect my 2012 Acer, which is currently working perfectly with the 20.04 release, to fall out of the compatibility windows and I'll be stuck with the last version that still runs on my hardware. But, I'm 79 so my hardware may outlive me.
IMO, and for DIY purposes, a desktop is more practical for "build it yourself" projects. You can choose your case, your mobo, your CPU, your GPU, your RAM, your drives, your display, your WIFI, your printer, your keyboard, your mouse, your UPS, etc... Your tradeoffs will be price vs compatibility, and you'll have to do Internet research on each component to make sure it is Ubuntu 20.04 compatible.
Learn more about the Linux OS? If you are going to go to all that time and trouble why not simple study for a Linux A+ certificate and formalize your knowledge? Here's a link to a study guide on Amazon.Originally posted by gshockxcc View Post
A link to a bunch of Linux related books on Amazon is here.
Have fun and good luck!Leave a comment:
Leave a comment: