Anaconda latest version

Author: l | 2025-04-24

Anaconda Latest Version. The latest version of Anaconda is bundled with Python 3.8 or Python 3.9, depending on your choice during installation. The latest version of Anaconda has several Step 1: Download the Latest Anaconda Version. Use a web browser to navigate to the Anaconda developer download page, and get a link for the latest version of Anaconda. At

Updating Anaconda to the latest version

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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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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Installation may take some time. Once it is completed, you’ll see the following:Preparing transaction: doneExecuting transaction: doneinstallation finished.Do you wish the installer to initialize Anaconda3by running conda init? [yes|no]Type yes, press ENTER and the script will add conda to your PATH:==> For changes to take effect, close and re-open your current shell. To activate the Anaconda installation load the new PATH environment variable that was added by the Anaconda installer into the current shell session with the following command:source ~/.bashrcTo verify that Anaconda was successfully installed use the conda command:conda info active environment : base active env location : /home/linuxize/anaconda3 shell level : 1 user config file : /home/linuxize/.condarc populated config files : conda version : 4.7.12 conda-build version : 3.18.9 python version : 3.7.4.final.0 virtual packages : base environment : /home/linuxize/anaconda3 (writable) channel URLs : package cache : /home/linuxize/anaconda3/pkgs /home/linuxize/.conda/pkgs envs directories : /home/linuxize/anaconda3/envs /home/linuxize/.conda/envs platform : linux-64 user-agent : conda/4.7.12 requests/2.22.0 CPython/3.7.4 Linux/4.19.0-5-amd64 debian/10 glibc/2.28 UID:GID : 1000:1000 netrc file : None offline mode : FalseUpdating Anaconda Updating Anaconda is a pretty straight forward process. Start by updating the conda tool with:conda update condaWhen prompted to confirm the update, type y to proceed.Once conda is updated, proceed with the Anaconda update:conda update anacondaSame as before, when prompted, type y to proceed.You should regularly update your Anaconda installation.Uninstalling Anaconda To uninstall Anaconda from your Debian system, first remove the directorywhere you have installed Anaconda:rm -rf ~/anaconda3Edit the ~/.bashrc file and remove the Anaconda directory from the PATH environment variable:~/.bashrc# >>> conda initialize >>># !! Contents within this block are managed by 'conda init' !!__conda_setup="$('/home/linuxize/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"if [ $? -eq 0 ]; then eval "$__conda_setup"else if [ -f "/home/linuxize/anaconda3/etc/profile.d/conda.sh" ]; then . "/home/linuxize/anaconda3/etc/profile.d/conda.sh" else export PATH="/home/linuxize/anaconda3/bin:$PATH" fifiunset __conda_setup# Run the following rmcommand to remove the hidden files and. Anaconda Latest Version. The latest version of Anaconda is bundled with Python 3.8 or Python 3.9, depending on your choice during installation. The latest version of Anaconda has several

Anaconda Latest: packages in the latest release of Anaconda

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

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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

Install Anaconda and Python on Windows (Latest Version)

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.

Installing the latest versions of R and RStudio - Anaconda

And install it.Once the installation completes, check for the version of pip running on your system. To do so, go to the command prompt and type:$ pip3 --versionSince you have installed the latest version of Python, that is, Python 3.x, you have pip3, and not pip. The latter was used with Python 2.7.It is now finally time to install TensorFlow. Run the windows command prompt as an administrator. To do so, go to the start menu on your Windows machine, search for cmd, right click it and choose "Run as administrator".After that, you only have to run one simple command to install TensorFlow. Here is the command:$ pip3 install --upgrade tensorflowThe command will take some time to execute, so remain patient. With pip, you can install TensorFlow with GPU support as follows:$ pip3 install tensorflow-gpuAnd that's it! You can now skip to the section "Verifying the Installation" below to make sure it is installed correctly.Installation with AnacondaPython is not shipped with Anaconda, so you must first install it on your system. You can download it from Anaconda.com.Once the package is downloaded, double-click it to start the installation. Installation instructions for Anaconda can be found at this link. The installer will be verified and a welcome window will pop up.Click "Next". In the next window, you will be required to accept the terms of the Anaconda agreement.Click "I Agree". You will be prompted to choose the installation type, whether just for you or for all users. Choose the option you need and click "Next".You can install it in the default directory or browse to another directory. Click "Next".You will see the window for "Advanced Options". Check the second checkbox, that is, "Register Anaconda as my default Python 3.6".Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet. Stop Googling Git commands and actually learn it!Click "Install" and the installation process will begin.Once the installation completes, you will get the following message:Click "Next" and "Finish" in the subsequent windows to complete the installation of Anaconda.Now that you have installed Anaconda, you can use conda, a. Anaconda Latest Version. The latest version of Anaconda is bundled with Python 3.8 or Python 3.9, depending on your choice during installation. The latest version of Anaconda has several

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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',

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Recognized: file format not recognizedcollect2: error: ld returned 1 exit statuserror: command 'g++' failed with exit status 1">[manjaro-pc pytorch]# python setup.py installBuilding wheel torch-1.1.0a0+44809fd-- Building version 1.1.0a0+44809fd[0/1] Install the project...-- Install configuration: "Release"running installrunning buildrunning build_pycopying torch/version.py -> build/lib.linux-x86_64-3.7/torchcopying caffe2/proto/caffe2_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/caffe2_legacy_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/predictor_consts_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/metanet_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/torch_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/prof_dag_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protocopying caffe2/proto/hsm_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/protorunning build_ext-- Building with NumPy bindings-- Not using cuDNN-- Not using MIOpen-- Not using CUDA-- Not using MKLDNN-- Not using NCCL-- Building without distributed packageCopying extension caffe2.python.caffe2_pybind11_stateCopying caffe2.python.caffe2_pybind11_state from torch/lib/python3.7/site-packages/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so to /home/manjaro/Downloads/pytorch/build/lib.linux-x86_64-3.7/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.sobuilding 'torch._C' extensiongcc -pthread -B /opt/anaconda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/anaconda/include/python3.7m -c torch/csrc/stub.cpp -o build/temp.linux-x86_64-3.7/torch/csrc/stub.o -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-bracescc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++g++ -pthread -shared -B /opt/anaconda/compiler_compat -L/opt/anaconda/lib -Wl,-rpath=/opt/anaconda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/torch/csrc/stub.o -L/home/manjaro/Downloads/pytorch/torch/lib -lshm -ltorch_python -o build/lib.linux-x86_64-3.7/torch/_C.cpython-37m-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_infobuild/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognizedcollect2: error: ld returned 1 exit statuserror: command 'g++' failed with exit status 1From this output, I assume the error was caused by this line:g++ -pthread -shared -B /opt/anaconda/compiler_compat -L/opt/anaconda/lib -Wl,-rpath=/opt/anaconda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/torch/csrc/stub.o -L/home/manjaro/Downloads/pytorch/torch/lib -lshm -ltorch_python -o build/lib.linux-x86_64-3.7/torch/_C.cpython-37m-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/libMy environmentPyTorch version: 1.0Is debug build: N/ACUDA used to build PyTorch: 10OS: Manjaro LinuxGCC version: (GCC) 6.4.1 20171002CMake version: version. Anaconda Latest Version. The latest version of Anaconda is bundled with Python 3.8 or Python 3.9, depending on your choice during installation. The latest version of Anaconda has several

How to install anaconda 2025.02 latest version for Artificial

Launching Spyder, received Error that 0.7.0 is mandatory and 0.7.1 is loadedBut listing, shows that 0.7.0 is loaded(base) C:\Users\Norb>conda list parsopackages in environment at C:\Users\Norb\anaconda3:Name Version Build Channelparso 0.7.0 py_0Issue Report ChecklistRead Read the relevant sections of the Spyder Troubleshooting Guide and followed its advice Reproduced the issue after updating with conda update spyder (or pip, if not using Anaconda) Could not reproduce inside jupyter qtconsole (if console-related) Tried basic troubleshooting (if a bug/error) Restarted Spyder Reset preferences with spyder --reset Reinstalled the latest version of Anaconda Tried the other applicable steps from the Troubleshooting Guide[ X] Completed the Problem Description, Steps to Reproduce and Version sections belowProblem DescriptionMissing dependency: parso listed as 0.7.0 but upon launch, error dialog reports it as 0.7.1 and warns that 0.7.0 is requiredWhat steps reproduce the problem?Launch SpyderWhat is the expected output? What do you see instead?Spyder launches without errorPaste Traceback/Error Below (if applicable)Missing dependency spyder 4.2.5 #Mandatory: parso =0.7.0 : 0.7.1 (NOK) Please install them to avoid this messageN/AVersionsSpyder version: 4.2.5Python version: 3.8.8Qt version: 5.9.7PyQt version: 5.9.2Operating System name/version: Windows 7 Home Premium(base) C:\Users\Norb>conda listpackages in environment at C:\Users\Norb\anaconda3:Name Version Build Channel_ipyw_jlab_nb_ext_conf 0.1.0 py38_0alabaster 0.7.12 pyhd3eb1b0_0anaconda 2021.05 py38_0anaconda-client 1.7.2 py38_0anaconda-navigator 2.0.4 py38_0anaconda-project 0.9.1 pyhd3eb1b0_1anyio 2.2.0 py38haa95532_2appdirs 1.4.4 py_0argh 0.26.2 py38_0argon2-cffi 20.1.0 py38h2bbff1b_1asn1crypto 1.4.0 py_0astroid 2.5 py38haa95532_1astropy 4.2.1 py38h2bbff1b_1async_generator 1.10 pyhd3eb1b0_0atomicwrites 1.4.0 py_0attrs 20.3.0 pyhd3eb1b0_0autopep8 1.5.6 pyhd3eb1b0_0babel 2.9.0 pyhd3eb1b0_0backcall 0.2.0 pyhd3eb1b0_0backports 1.0 pyhd3eb1b0_2backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0backports.shutil_get_terminal_size 1.0.0 pyhd3eb1b0_3backports.tempfile 1.0 pyhd3eb1b0_1backports.weakref 1.0.post1 py_1bcrypt 3.2.0 py38he774522_0beautifulsoup4 4.9.3 pyha847dfd_0bitarray 1.9.2 py38h2bbff1b_1bkcharts 0.2 py38_0black 19.10b0 py_0blas 1.0 mklbleach 3.3.0