The easiest way to match the CMP labs Anaconda setup is to start with miniconda and add the packages needed.
Starting from a normal Anaconda install will take a lot longer (>20 minutes) as the solver tries to work out the most suitable versions based on what's already installed.
https://repo.anaconda.com/miniconda/Miniconda3-py312_24.5.0-0-Windows-x86_64.exe
https://repo.anaconda.com/miniconda/Miniconda3-py312_24.5.0-0-MacOSX-x86_64.pkg
https://repo.anaconda.com/miniconda/Miniconda3-py312_24.5.0-0-MacOSX-arm64.pkg
https://repo.anaconda.com/miniconda/Miniconda3-py312_24.5.0-0-Linux-x86_64.sh
https://repo.anaconda.com/miniconda/Miniconda3-py312_24.5.0-0-Linux-aarch64.sh
As a user with privileges to update the base environment do...
Open an anaconda prompt and run the following command to add all of the packages.
This will take several minutes and download roughly 2-3 GB of data.
conda install --file <FULL_PATH_TO_ENV_FILE> -c conda-forge -c pytorch -y
Once that has completed you can add the packages that are not available in the anaconda repositories via pip.
pip install pygame seaborn[stats] wordcloud ipywidgets transformers datasets soundfile "tensorflow=2.17.0" tensorboard
That will give you a matching base environment to the one in our labs.
anaconda::anaconda-navigator
asgiref
arrow
astroid
bokeh
cycler
dataclasses
django
fftw
flask
h5py
hmmlearn
html5lib
imageio
jinja2
keras
keras-applications
keras-preprocessing
krb5
matplotlib
nltk
nose
numpy==1.26.4
notebook
openpyxl
pandas
paramiko
pillow
plotly
pyarrow==17.0.0
pyflakes
requests
scikit-image
scikit-learn
scipy
sphinx
spyder
sqlalchemy
asgiref
dataclasses
django
fftw
hmmlearn
html5lib
keras
keras-applications
keras-preprocessing
krb5
libpq
psycopg2
pyke
pymongo
nose
sqlparse
testpath
tinycss
beautifulsoup4
imbalanced-learn
category_encoders
xgboost
catboost
lime
lightgbm
shap
yellowbrick
sqlparse
testpath
tinycss
pytorch
torchvision
torchaudio
cpuonly
spyder
notebook
matplotlib
pydot
scikit-learn
spacy
imbalanced-learn
ffmpeg
opencv
pysoundfile
conda create -n avp python
conda activate avp
conda install ffmpeg "numpy==1.26.4" scikit-learn matplotlib jupyter pandas plotly spyder opencv "conda-forge:py-opencv" pysoundfile python-sounddevice librosa -c conda-forge
pip install "tensorflow==2.17.0"
These instructions work for Linux and Windows users, but can fail to solve when installing on Mac OS.
If this happens, these can be used instead:
conda create -n avp "python<3.11"
conda activate avp
pip install "tensorflow==2.*" scikit-learn "matplotlib==3.*" jupyter pandas plotly spyder opencv-python soundfile sounddevice librosa
conda install ffmpeg
https://github.com/argouml-tigris-org/argouml/releases/tag/VERSION_0_34
We run the LTS releases in our labs for stability, there's currently the 3.6 and 4.2 LTS releases available.
https://www.blender.org/download/lts/4-2/
https://www.blender.org/download/lts/3-6/
NEED TO UPDATE THIS WITH THE NEW LOCATION POST MIGRATION
https://git-scm.com/
Releases have good comptatbility between, so the more recent is the best version to use.
Our labs will usually track this due to security updates.
The most recent Eclipse Temurin v21 LTS release should be downloaded from https://adoptium.net/en-GB/temurin/releases/?version=21&package=jdk .
Oracle versions of Java should be avoided as the licensing conditions prevent it's use at UEA.
These are direct links to the same major.minor version as in the labs.
As there are issues with project compatability between versions we recomend you only install the versions below.
All of the downloads have the platform at the end of the address, so...
| Ending | Platform |
|---|---|
| tar.gz | Linux x86 |
| -aarch64.tar.gz | Linux ARM 64 |
| .exe | Windows x86 |
| -aarch64.exe | Windows ARM64 |
| .dmg | MacOS x86 |
| -aarch64.dmg | MacOS ARM64 |
Linux x86: https://download.jetbrains.com/cpp/CLion-2024.1.5.tar.gz
Linux ARM64: https://download.jetbrains.com/cpp/CLion-2024.1.5-aarch64.tar.gz
Windows x86: https://download.jetbrains.com/cpp/CLion-2024.1.5.exe
Windows ARM: https://download.jetbrains.com/cpp/CLion-2024.1.5-aarch64.exe
MacOS x86: https://download.jetbrains.com/cpp/CLion-2024.1.5.dmg
MacOS ARM: https://download.jetbrains.com/cpp/CLion-2024.1.5-aarch64.dmg
Linux x86: https://download.jetbrains.com/idea/ideaIU-2024.1.6.tar.gz
Linux ARM64: https://download.jetbrains.com/idea/ideaIU-2024.1.6-aarch64.tar.gz
Windows x86: https://download.jetbrains.com/idea/ideaIU-2024.1.6.exe
Windows ARM: https://download.jetbrains.com/idea/ideaIU-2024.1.6-aarch64.exe
MacOS x86: https://download.jetbrains.com/idea/ideaIU-2024.1.6.dmg
MacOS ARM: https://download.jetbrains.com/idea/ideaIU-2024.1.6-aarch64.dmg
Linux x86: https://download.jetbrains.com/python/pycharm-professional-2024.1.6.tar.gz
Linux ARM64: https://download.jetbrains.com/python/pycharm-professional-2024.1.6-aarch64.tar.gz
Windows x86: https://download.jetbrains.com/python/pycharm-professional-2024.1.6.exe
Windows ARM: https://download.jetbrains.com/python/pycharm-professional-2024.1.6-aarch64.exe
MacOS x86: https://download.jetbrains.com/python/pycharm-professional-2024.1.6.dmg
MacOS ARM: https://download.jetbrains.com/python/pycharm-professional-2024.1.6-aarch64.dmg
https://courses.missouristate.edu/KenVollmar/MARS/
Community edition releases can be downloaded from: https://www.mongodb.com/try/download/community .
The labs are running v7, so any release from this series should be compatiable.
https://nodejs.org/en/download/prebuilt-installer
The lab are running v20 LTS, as the more recent v22 had not yet changed to LTS status when the upgrades started.
Windows: https://download.biolab.si/download/files/Orange3-3.37.0-Python311-win_amd64.exe
MacOS ARM: https://download.biolab.si/download/files/Orange3-3.37.0-Python3.11.8-arm64.dmg
MacOS x86: https://download.biolab.si/download/files/Orange3-3.37.0-Python3.10.11-x86_64.dmg
https://www.pgadmin.org/download/
As this is just used to run queries on the schools PostgreSQL servers a different version will only affect the look of the interface.
Linux versions are available from the main download page above.
Windows: https://www.postgresql.org/ftp/pgadmin/pgadmin4/v8.10/windows/
MacOS: https://www.postgresql.org/ftp/pgadmin/pgadmin4/v8.10/macos/
https://github.com/husonlab/splitstree6/releases/tag/6.3.32
https://www.umlet.com/download/umlet_15_1/umlet-standalone-15.1.zip
Downloads and license information can be found at: https://ap.visual-paradigm.com/university-of-east-anglia .
The labs are running 17.1 this year.
https://visualstudio.microsoft.com/
Community 2022 is the version available in the labs.