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Open source PyMOL 2.4 for WindowsThis repository provides a method to install PyMOL v2.4 by Anaconda on Windows.Download & InstalaçãoFollow these steps to install PyMOL v2.4:1. Install AnacondaDownload Anaconda and install it.2. Create a environment on AnacondaOpen Anaconda Prompt, you can open it by typing Anaconda Prompt in the search bar, located in the bottom left corner. With the Anaconda Prompt open, run:conda create -n pymol python=3.7Then, activate the pymol environment:3. Install required Python packagesStill on Anaconda Prompt, run:pip 3:conda install -c anaconda pipNumpy:PMW:pyqt5:4. Download PyMOL whl filesDownload pre-compiled Open-Source PyMOL wheel files, compatible with Python 3.7.x and Windows 64-bit, from the links below:pymol-launcherpymolNote: You can check Python version on anaconda by typing python --version.If you are using a different Python version or Windows 32-bits, please there are other pre-compiled versions here.The filename structure is the following:5. Install wheel filesIn the pymol environment on Anaconda, switch to download directory (C:\Users\username\Downloads):Then, install pymol_launcher-2.1-cp37-cp37m-win_amd64.whl by typing:pip install --no-index --find-links="%CD%" pymol_launcher-2.1-cp37-cp37m-win_amd64.whlFinally, to install pymol-2.4.0-cp37-cp37m-win_amd64.whl, run:pip install --upgrade --no-deps pymol-2.4.0-cp37-cp37m-win_amd64.whlNote: If you downloaded different files in Step 4, replace pymol_launcher-2.1-cp37-cp37m-win_amd64.whl and pymol-2.4.0-cp37-cp37m-win_amd64.whl by the downloaded wheel files.6. Launch PyMOL v2.4In the activate pymol environment on Anaconda, run:Then, PyMOL v2.4 will be launched and ready to go.

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Latest Version Anaconda 3 2024.10 Operating System Windows 7 / Windows 8 / Windows 10 User Rating Click to vote Author / Product Anaconda, Inc. / External Link Filename Anaconda3-2019.10-Windows-x86.exe Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system.Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of Anaconda 3 2019.10 (32-bit). For those interested in downloading the most recent release of Anaconda or reading our review, simply click here. All old versions distributed on our website are completely virus-free and available for download at no cost. We would love to hear from youIf you have any questions or ideas that you want to share with us - head over to our Contact page and let us know. We value your feedback! Anaconda 3 2019.10 (32-bit) Screenshots The images below have been resized. Click on them to view the screenshots in full size. What's new in this version: Changes:- Updated packages- For macOS Catalina, we have notarized the package installers and changed the default install directory to /opt/anaconda{2,3}

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Directories for 'psimd'[2/9] Performing download step (git clone) for 'psimd'Cloning into 'psimd'...Already on 'master'Your branch is up to date with 'origin/master'.[3/9] No patch step for 'psimd'[4/9] Performing update step for 'psimd'Current branch master is up to date.[5/9] No configure step for 'psimd'[6/9] No build step for 'psimd'[7/9] No install step for 'psimd'[8/9] No test step for 'psimd'[9/9] Completed 'psimd'-- Using third party subdirectory Eigen.Python 3.7.1-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0-- System pybind11 found-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7mCMake Warning at cmake/Dependencies.cmake:805 (message): Not using CUDA, so disabling NCCL. Suppress this warning with -DUSE_NCCL=OFF.Call Stack (most recent call first): CMakeLists.txt:219 (include)CMake Warning at cmake/Dependencies.cmake:950 (message): Metal is only used in ios builds.Call Stack (most recent call first): CMakeLists.txt:219 (include)-- -- ******** Summary ********-- CMake version : 3.12.2-- CMake command : /opt/anaconda/bin/cmake-- System : Linux-- C++ compiler : /usr/bin/c++-- C++ compiler version : 5.4.1-- CXX flags : -fvisibility-inlines-hidden -Wnon-virtual-dtor-- Build type : Release-- Compile definitions : TH_BLAS_MKL-- CMAKE_PREFIX_PATH : /opt/anaconda/bin/../-- CMAKE_INSTALL_PREFIX : /home/manjaro/Downloads/pytorch/torch-- CMAKE_MODULE_PATH : /home/manjaro/Downloads/pytorch/cmake/Modules;/usr/share/cmake/pybind11-- -- ONNX version : 1.4.1-- ONNX NAMESPACE : onnx_torch-- ONNX_BUILD_TESTS : OFF-- ONNX_BUILD_BENCHMARKS : OFF-- ONNX_USE_LITE_PROTO : OFF-- ONNXIFI_DUMMY_BACKEND : OFF-- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF-- Found gcc >=5 and CUDA Building wheel torch-1.1.0a0+44809fd-- Building version 1.1.0a0+44809fd['cmake', '/home/manjaro/Downloads/pytorch', '-GNinja', '-DBLAS=MKL', '-DBUILDING_WITH_TORCH_LIBS=ON', '-DBUILD_BINARY=False', '-DBUILD_CAFFE2_OPS=False', '-DBUILD_PYTHON=True', '-DBUILD_SHARED_LIBS=ON', '-DBUILD_TEST=False', '-DBUILD_TORCH=ON',. Anaconda 3 2025.07. Date released: (one year ago) Download. Anaconda 3 2025.03. Date released: (one year ago) Download. Anaconda 3

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Anaconda is the most popular Python/R data science and machine learning platform. It is used for large-scale data processing, predictive analytics, and scientific computing.Anaconda distribution ships with more than 1,500 open-source data packages. It also includes the conda command-line tool and a desktop graphical user interface called Anaconda Navigator.In this tutorial, we will walk you through downloading and installing Anaconda Python Distribution on Debian 10.Installing Anaconda At the time of writing this article, the latest stable version of Anaconda is version 2019.10. Before downloading the Anaconda installer script, visit the Anaconda Downloads pageand check if there is a new version of Anaconda for Python 3 available for download.Use wgetor curlto download the Anaconda installation script:wget -P /tmp download may take some time depending on your connection speed. Once done, verify the data integrity of the script with the sha256sum command:sha256sum /tmp/Anaconda3-2019.10-Linux-x86_64.shYou should see an output like the following:46d762284d252e51cd58a8ca6c8adc9da2eadc82c342927b2f66ed011d1d8b53 /tmp/Anaconda3-2019.10-Linux-x86_64.shMake sure the hash printed from the command above matches the one available at the Anaconda with Python 3 on 64-bit Linux pagefor the Anaconda version you’re installing. the script to start the Anaconda installation process:sh /tmp/Anaconda3-2019.10-Linux-x86_64.shWelcome to Anaconda3 2019.10In order to continue the installation process, please review the licenseagreement.Please, press ENTER to continue>>> Press ENTER to continue and then press SPACE to scroll through the license. Once you’re done reviewing the license, you’ll be prompted to accept the license terms:Do you accept the license terms? [yes|no][no] >>> yesType yes to accept the license, and the script will ask you to choose the installation location.Anaconda3 will now be installed into this location:/home/linuxize/anaconda3 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location belowThe default location is fine for most users. Press ENTER to confirm the location, and the installation process will start.The

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The World`s Most Popular Python/R Data Science Platform for Windows PC! Home Developer Tools Anaconda 3 2024.10 Old Versions Browse by CompanyAdobe, Apowersoft, Ashampoo, Autodesk, Avast, Corel, Cyberlink, Google, iMyFone, iTop, Movavi, PassFab, Passper, Stardock, Tenorshare, Wargaming, Wondershare Sponsored February, 10th 2025 - 951 MB - Open Source Review Screenshots Old Versions Anaconda 3 2024.10 Date released: 29 Oct 2024 (5 months ago) Anaconda 3 2024.06 Date released: 26 Jun 2024 (9 months ago) Anaconda 3 2023.07 Date released: 26 Sep 2023 (one year ago) Anaconda 3 2023.03 Date released: 24 Apr 2023 (one year ago) Anaconda 3 2022.05 (64-bit) Date released: 10 May 2022 (3 years ago) Anaconda 3 2022.05 (32-bit) Date released: 10 May 2022 (3 years ago) Anaconda 3 2021.05 (64-bit) Date released: 22 Oct 2021 (3 years ago) Anaconda 3 2021.05 (32-bit) Date released: 22 Oct 2021 (3 years ago) Anaconda 3 2020.02 (64-bit) Date released: 11 Mar 2020 (5 years ago) Anaconda 3 2020.02 (32-bit) Date released: 11 Mar 2020 (5 years ago) Anaconda 3 2019.10 (64-bit) Date released: 30 Oct 2019 (5 years ago) Anaconda 3 2019.10 (32-bit) Date released: 30 Oct 2019 (5 years ago) Anaconda 3 2019.07 (64-bit) Date released: 01 Aug 2019 (6 years ago) Anaconda 3 2019.07 (32-bit) Date released: 01 Aug 2019 (6 years ago) Anaconda 2 2019.10 (64-bit) Date released: 30 Oct 2019 (5 years ago) Anaconda 2 2019.10 (32-bit) Date released: 30 Oct 2019 (5 years ago) Anaconda 2 2019.07 (64-bit) Date released: 01 Aug 2019 (6 years ago) Anaconda 2 2019.07 (32-bit) Date released: 01 Aug 2019 (6 years ago)

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/usr/lib/libpthread.so-- Library m: /usr/lib/libm.so-- Library dl: /usr/lib/libdl.so-- Looking for cblas_sgemm-- Looking for cblas_sgemm - found-- MKL library found-- Check if compiler accepts -pthread-- Check if compiler accepts -pthread - yes-- Caffe2: Found gflags with new-style gflags target.-- Caffe2: Cannot find glog automatically. Using legacy find.-- Found glog: /usr/include -- Caffe2: Found glog (include: /usr/include, library: /usr/lib/libglog.so)-- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib/libnuma.so)-- Downloading PSimd to /home/manjaro/Downloads/pytorch/build/confu-srcs/psimd (define PSIMD_SOURCE_DIR to avoid it)-- Configuring done-- Generating done-- Build files have been written to: /home/manjaro/Downloads/pytorch/build/confu-deps/psimd-download[1/9] Creating directories for 'psimd'[2/9] Performing download step (git clone) for 'psimd'Cloning into 'psimd'...Already on 'master'Your branch is up to date with 'origin/master'.[3/9] No patch step for 'psimd'[4/9] Performing update step for 'psimd'Current branch master is up to date.[5/9] No configure step for 'psimd'[6/9] No build step for 'psimd'[7/9] No install step for 'psimd'[8/9] No test step for 'psimd'[9/9] Completed 'psimd'-- Using third party subdirectory Eigen.Python 3.7.1-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0-- System pybind11 found-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7mCMake Warning at cmake/Dependencies.cmake:805 (message): Not using CUDA, so disabling NCCL. Suppress this warning with -DUSE_NCCL=OFF.Call Stack (most recent call first): CMakeLists.txt:219 (include)CMake Warning at cmake/Dependencies.cmake:950 (message): Metal is only used in ios builds.Call Stack (most recent call first): CMakeLists.txt:219 (include)-- -- ******** Summary ********-- CMake version : 3.12.2-- CMake command : /opt/anaconda/bin/cmake-- System : Linux-- C++ compiler

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Latest Version Anaconda 3 2024.10 LATEST Review by Daniel Leblanc Operating System Windows 7 64 / Windows 8 64 / Windows 10 64 / Windows 11 User Rating Click to vote Author / Product Anaconda, Inc. / External Link Filename Anaconda3-2024.10-1-Windows-x86_64.exe The open-source Anaconda (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS.With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to: Quickly download 1,500+ Python/R data science packages Manage libraries, dependencies, and environments with Conda Develop and train machine learning and deep learning models with sci-kit-learn, TensorFlow, and Theano Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews Anaconda Distribution is a comprehensive and open-source platform that simplifies package management and deployment for data science and machine learning projects.Developed and maintained by Anaconda Inc., this distribution is designed to provide a powerful and flexible environment for Python and R programming.It comes pre-packaged with a wide range of libraries, tools, and packages, making it an ideal choice for anyone working in fields such as data analysis, machine learning, scientific computing, and more.Directly from the platform and without involving DevOps, data scientists can develop and deploy AI and machine learning models rapidly into production.Anaconda Python provides the tools needed to easily: Collect data from files, databases, and data lakes Manage environments with Conda (all package dependencies are taken care of at the time of download) Share, collaborate on, and reproduce projects Deploy projects into production with a single click of a button A Versatile Open-Source Package and Environment ManagerConda stands as an open-source system for managing packages and environments, compatible with Windows, macOS, and. Anaconda 3 2025.07. Date released: (one year ago) Download. Anaconda 3 2025.03. Date released: (one year ago) Download. Anaconda 3 Anaconda 3 2025.03. Date released: (one year ago) Download. Anaconda 3 2025.05 (64-bit) Date released: (3 years ago) Download. Anaconda

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How to Install Jupyter Notebook on Windows This guide is designed to be the quickest way to get Python, Jupyter Notebook, and several data science related packages up and running on a Windows computer. This free and open software can do some amazing things. No prior experience is required. 1) Install Python 3 a. Download the latest stable release at: b. The first link under “Stable Release” was Python 3.9.5 - May 3, 2021 as of May 24th, 2021 so click on that or perhaps a newer one. c. Scroll to the bottom. Under “Files”, click Windows installer (64-bit) d. After the download completes, double click the “python-3.9.5-amd64.exe”. e. Check the “Add Python 3.8 to PATH” checkbox. f. Click Install Now → Yes → “Setup was successful” should appear → Close 2) Install Anaconda a. Download the data science toolkit from Anaconda at: b. Click Download → Click 64-Bit Graphical Installer. The download should start immediately. c. After the download completes, go to your Downloads folder double click “Anaconda3-2021.05-Windows-x86_64.exe”. d. Click Next→ I Agree → Next → Next → Install → Next → Next → Uncheck both box checkboxes. → Finish 3) Install Jupyter Notebook a. Hit the Windows key which is by the “Z’ key → Type “anaconda n” → Click “Enter” → this will launch Anaconda Navigator. b. Click the “Launch” button under “jupyter Notebook 6.3.0”. c. This should launch “localhost:8888/tree” page on your web browser. 4) Install Git Bash a. Go to: b. Click the “Windows” logo. The download will begin automatically. c. After the download completes, double click “Git-2.31.1-64-bit.exe”. d. Click “Yes” → Next 15 times → Install → Uncheck View Release Notes → Finish. Hit the Windows key which is by the “Z’ key → Type “gitb”→ Click “Enter”. e. Type “cd doc” → Click “Tab” → “cd Documents/” should appear → Click “Enter”. f. To make sure that “pip” the standard package manager for Python is working, type pip -V → output like “pip 21.1.1 from c:\user\... (python 3.9)” should appear. g. Make sure pip is up to date by typing py -m pip install --upgrade pip. 5) Create a virtual environment. This enables this project to have its own dependencies. a. Type python -m venv venv b. Activate the new virtual environment with source venv/Scripts/activate “(venv)” should be visible three lines up from the bottom left. c. Install Python packages needed to perform

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The environment using this file with conda env create -f environment.yml.PricingThe app itself is FREE. However, Anaconda Inc. offers commercial products and services, such as Anaconda Enterprise, which is a paid platform designed for enterprise-level data science and machine learning operations.Pricing for Anaconda Enterprise varies based on the scale and specific needs of your organization, so you should contact Anaconda Inc. directly for a quote.PRO PLAN - $25/mo (per user)Practitioners building Python applications 10GB for cloud-hosted notebooks User access controls Enhanced support BUSINESS PLAN - $75/mo (per user)Teams with advanced security requirements Open-source software supply chain security tools Curated vulnerability data Audit logs PROS Comprehensive package management with Conda. Rich library ecosystem for data science. Easy environment isolation. Seamless integration with Jupyter Notebook. Support for popular machine learning frameworks. Cloud deployment options. Active community and extensive documentation. CONS Large installation size. Graphical interface can be slow at times. Some users may find the command-line interface intimidating. ConclusionIt remains a powerhouse in the world of data science and machine learning. Its vast library ecosystem, robust package management, and seamless integration with Jupyter Notebook make it a top choice for both beginners and experts.While the installation size might be a drawback for those with limited disk space, the benefits far outweigh this minor inconvenience.Whether you're a data scientist, machine learning engineer, or just a Python enthusiast, Anaconda is a must-have tool for creating and managing your data science projects. With a supportive community and extensive documentation, you'll find the resources you need to excel in your data-driven endeavors.Also Available: Download Anaconda for Mac Anaconda 3 2024.10 Screenshots The images below have been resized. Click on them to view the screenshots in full size.. Anaconda 3 2025.07. Date released: (one year ago) Download. Anaconda 3 2025.03. Date released: (one year ago) Download. Anaconda 3 Anaconda 3 2025.03. Date released: (one year ago) Download. Anaconda 3 2025.05 (64-bit) Date released: (3 years ago) Download. Anaconda

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I'm following a Cousera course on Machine learning. We have to use some specific tools such as Graphlab create. Yet, after installing Anaconda with bash /Download/Anaconda2-4.0.0-Linux-x86_64.shI had to create a new conda environment with Python 2.7.x (I don't now why they didn't moved to python 3 but it seems that it is the way the teachers do its thing on)conda create -n gl-env python=2.7 anaconda=4.0.And it ansswered me conda: command not foundI read the related question posted by vincent and tried the best answer by George Udosen with sudo mv /root/anaconda3 /home/$mikeBut still, I received mv: cannot stat '/root/anaconda3': No such file or directory asked Jan 31, 2018 at 21:34 I found an answer in madcurie's answer for anaconda 2 :export PATH=~/anaconda2/bin:$PATH for anaconda 3 :export PATH=~/anaconda3/bin:$PATH for anaconda 4 : Use the Anaconda Prompt and then conda --version to confirm that it worked. answered Feb 1, 2018 at 10:19 2 I was installing Anaconda3-2019.07-Linux-x86_64 (.sh) and was facing the problem of conda not being found as a command.The problem was in the .bashrc entry that the installer was setting. I Needed to addexport PATH=~/anaconda3/bin:$PATHin the if entry ofif [ -f "$anaconda3_path/etc/profile.d/conda.sh" ]; then... answered Sep 9, 2019 at 9:23 I had the same problem !You should know first where you have installed anaconda3. If it is installed in /root/anaconda3 so you should first change the user to the root bysudo suThen you can activate one of conda environments:conda activate [env]If anaconda3 is installed in user's directory such as /home/[user-name]/anaconda3, you should not have trouble unless the path of conda command is not in the PATH variables. answered Nov 20, 2020 at 12:00 You must log in to answer this question. Start asking to get answers Find the answer to your question by asking. Ask question Explore related questions See