Anaconda

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)

The 2022.10 release of Anaconda Distribution features Qt support in Anaconda Navigator v2.3.1, full GUI support for macOS M1’s ARM64 architecture, Python 3.10, improved security protocols, and several package updates. 2022.10 is the last release that will support Python 3.7.Click here to access the latest Anaconda Distribution installer.We are pleased to announce the release of the Anaconda Distribution 2022.10 installer. Anaconda Distribution 2022.10 comes with Python 3.9 and conda v22.9.0, support for Python 3.10, and an updated Anaconda Navigator.Anaconda Navigator has released version 2.3.1 and is included with the Anaconda Distribution 2022.10 installer. Here are the notable updates:There are updated resources in the Community tab.There is GUI support for macOS M1 (ARM64), enabling applications such as Spyder and Anaconda Navigator.Application tiles have been enhanced to allow more dynamic configuration.Applications can now be filtered on the homepage. Filters are persistent and allow users to set their home preferences.To read the complete release notes for Anaconda Distribution 2022.10, click here. To read the full list of Anaconda Navigator 2.3.1 updates, see the Anaconda Navigator release notes.Start using Anaconda Distribution 2022.10 today by downloading the installer.Package and conda Updates in 2022.10You’ll find over 180 packages updated across all supported architectures since the last release of the Anaconda Distribution in May of 2022. The Anaconda Distribution 2022.10 installer and base environment use Python 3.9 with conda v22.9.0. Updated packages include:pandas 1.4.4Matplotlib 3.5.2NetworkX 2.8.4and many more!To view the full list of packages, please refer to this link that includes all available packages for macOS M1.Conda v22.9.0 is included in the Anaconda Distribution 2022.10 installer and will be shipped with its base environment. This conda release marks the first release that uses the CalVer versioning system in order to give its releases a more human-readable format. There are many new features and bug fixes, and you can find the full list of updates to conda 22.9.0 in the release notes.Notes on Python 3.10 and Python 3.7Anaconda Distribution 2022.10 ships with Python 3.9 and provides metapackages for Python versions 3.7, 3.8, and 3.10. To uphold continued package maintenance and support standards, Anaconda Distribution will only support up to three versions of Python at a time. Additionally, Python 3.7 is nearing the end of its life and Anaconda Distribution 2022.10 will be the last release that supports Python 3.7.Anaconda Distribution Index Page SHA256 UpdateThe index page for all Anaconda Distribution installers has replaced all MD5 hashes with SHA256. This change reflects a more secure and reliable mechanism for cryptographic checksums and addresses a previous issue with MD5 checksum mismatches. Moving forward, Anaconda Distribution releases will use only SHA256.Users may leverage the SHA256 hash to verify that the installer has been installed as intended. Note: this does not check

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

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.

Folder, and Terminal. Just click on Python 3 and start your coding.The notebook is always saved with (.ipynb) extension. Now we will show you what exactly you will see on your screen:ConclusionInstalling Jupyter Notebook without Anaconda on Windows opens up a world of flexibility and customization for your Python development environment. By following the steps outlined in this article, you can set up a lean and efficient Jupyter Notebook installation, tailored to your specific needs.Whether you prefer a minimal Python environment or have other reasons for not using Anaconda, this approach allows you to take full control of your Jupyter Notebook setup. So, unleash your creativity, dive into the world of Jupyter Notebook, and let your ideas flourish in this powerful and versatile interactive environment.Hopefully, you guys understood the installation of Jupyter without the help of Anaconda. For any doubts or queries, please comment below.Frequently Asked Questions(FAQs)1. Why would I want to install Jupyter Notebook without Anaconda?There can be several reasons for installing Jupyter Notebook without Anaconda. Some users may prefer a more lightweight Python environment, have specific package requirements, or prefer to manage their Python installation manually.2. What are the system requirements for installing Jupyter Notebook without Anaconda on Windows?The system requirements for installing Jupyter Notebook without Anaconda on Windows are the same as those for running Python on Windows. You need a Windows operating system, sufficient disk space, and a compatible version of Python installed.3. How do I install Jupyter Notebook without Anaconda on Windows?To install Jupyter Notebook without Anaconda on Windows, you can use the Python package manager pip. First, ensure that Python is installed on your system, then open the command prompt or terminal and run the command "pip install jupyter" to install Jupyter Notebook.4. Can I install additional packages and libraries in the Jupyter Notebook environment without Anaconda?Yes, you can install additional packages and libraries in the Jupyter Notebook environment without Anaconda. Once Jupyter Notebook is installed, you can use the pip package manager or other package managers like Conda to install additional Python packages and libraries as needed.5. Are there any limitations or differences when using Jupyter Notebook without Anaconda?The core functionality of the Jupyter Notebook remains the same regardless of whether it is installed with or without Anaconda. However, installing Jupyter Notebook without Anaconda means you have more control over your Python environment and package versions. You will need to manage and update

Anaconda Prompt: Changing DirectoriesThe Anaconda Prompt is a powerful tool for managing your Anaconda distribution. It can be used to install and update packages, create and manage environments, and run Python scripts. One of the most basic tasks you can perform in the Anaconda Prompt is changing directories. This can be useful for navigating to different locations on your filesystem, or for accessing files and folders in your Anaconda environments.In this article, we will show you how to change directories in the Anaconda Prompt. We will cover the basic syntax for changing directories, as well as some more advanced techniques. We will also provide some tips on how to use the Anaconda Prompt effectively.So if you’re ready to learn how to change directories in the Anaconda Prompt, read on!CommandDescriptionExamplecdChange the current working directorycd /path/to/directorypwdPrint the current working directorypwdlsList the contents of the current working directorylsThe Anaconda Prompt is a command-line interface (CLI) that allows you to interact with the Anaconda distribution of Python. The Anaconda Prompt is similar to the Windows Command Prompt or the macOS Terminal, but it comes with a number of features that make it specifically designed for working with Python.One of the most basic tasks you can perform in the Anaconda Prompt is to change the current working directory. The current working directory is the directory that the Anaconda Prompt is currently operating in. When you first open the Anaconda Prompt, the current working directory is typically set to your home directory.You can change the current working directory using the `cd` command. The `cd` command takes one argument, which is the path to the directory you want to change to. For example, the following command would change the current working directory to the `Documents` folder:cd DocumentsYou can also use the `pushd` and `popd` commands to save and restore the current working directory. The `pushd` command takes one argument, which is the path to the directory you want to save. The `popd` command restores the directory that was saved by the last `pushd` command.For example, the following commands would save the current working directory and then change it to the `Documents` folder:pushdcd DocumentsAnd the following commands would restore the directory that was saved by the `pushd` command:popdChanging the Current Working DirectoryThe `cd` command is used to change the current working directory. The `cd` command takes one argument, which is the path to the directory you want to change to. For example, the following command would change the current working directory to the `Documents` folder:cd DocumentsYou can also use the `..` character to move up one directory. For example, the following command would change the current working directory to the parent directory of the current working directory:cd ..You