We are pleased to announce the release of Anaconda Individual Edition 2020.07!

Anaconda Python 3.6 version For Windows. Pip install wordcloud. There is a solution, you can download a third party package for Python 3. Installing Anaconda (Python and Jupyter Notebook) in mac OS for Machine Learning. Its version 3.6. Although you have download the latest version of Python in Anaconda Web link — https.

• There are now newer bugfix releases of Python 3.7 that supersede 3.7.6 and Python 3.8 is now the latest feature release of Python 3.Get the latest releases of 3.7.x and 3.8.x here.We plan to continue to provide bugfix releases for 3.7.x until mid 2020 and security fixes until mid 2023. Among the major new features in Python 3.7 are. PEP 539, new C API for thread-local storage.
• Anaconda for Mac. Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. If you’re looking for a hassle-free data science.

For the first time, the installers ship with Python 3.8. There are Python 3.6, Python 3.7, and Python 3.8 metapackages available with this release, so you can work with Anaconda in other versions of Python as you wish. (conda create -n py37 anaconda=2020.07 python=3.7). As a reminder of what “metapackages” are, please read our blog post on clarifying the Anaconda metapackage.

You’ll find over 160 package updates and ~15 newly added packages since the last release of the installer. Package updates include: bokeh (v1.4.0 -> v2.1.1), jupyterlab (v1.2.6 -> v2.1.5), numba (v0.48.0 -> v0.50.1), scikit-learn (v0.22.1 -> v0.23.1), scipy (v1.4.1 -> v1.5.0), sympy (v1.5.1 -> v1.6.1), spyder (v4.0.1 -> v4.1.4) and many more.

Recently out are new Miniconda Python 3 installers - with the latest version of conda v4.8.3 for Python 3.7 and Python 3.8. The Miniconda3-latest- link now points to the Python 3.8 Miniconda installers. The final version of the Python 2 Miniconda installers is now available - as the final release of Python2 (v2.7.18) was on April 20, 2020. You can find all the Miniconda installers here.

You can find the full release notes for Anaconda Individual Edition 2020.07 here.

Update to Anaconda 2020.07 now with conda install anaconda=2020.07, or download and install Anaconda 2020.07.

Enterprise Data Science

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Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. If you’re looking for a hassle-free data science platform, this is the one for you.

Extensive packages

Anaconda is leading the way for innovative data science platforms for enterprises of all sizes.

Anaconda provides you with more than 1,500 packages in its distribution. In it you will find the Anaconda navigator (a graphical alternative to command line interface), Conda package, virtual environment manager, and GUI. What makes Conda different from other PIP package managers is how package dependencies are managed. PIP installs Python package dependencies, even if they’re in conflict with other packages you’ve already installed. So, for example, a program can suddenly stop working when you’re installing a different package with a different version of the NumPy library. Everything will appear to work but, you data will produce different results because you didn’t install PIP in the same order. This is where Conda comes in. It analyzes your current environment and installations. This includes version limitations, dependencies, and incompatibility. As an open source package, it can be individually installed from the Anaconda repository, Anaconda Cloud or even the conda install command.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.

Extend your reach with Anaconda Navigator

The built in graphical user interface or GUI allows you to launch applications while managing Conda packages, environments and channels. This means the GUI will complete the process of installing packages without asking for a command-line command. It even includes these applications by default: JupyterLab & Jupyter Notebook / QtConsole / Spyder / Glueviz / Orange / RStudio / Visual Studio Code.

Where can you run this program?

Anaconda 2019.07 has these system requirements:

- Operating system: Windows 7 or newer, 64-bit macOS 10.10+, or Linux, including Ubuntu, RedHat, CentOS 6+.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- 5 GB disk space or more.

Anaconda developers recommends you to install Anaconda for the local user so you won’t need administrator permissions. Or, you can opt to install Anaconda system wide, which does require administrator permissions.

Is there a better alternative?

If you’re looking for simple Python-dedicated environment, then you need PyCharm. Targeted specifically for Python programmers, this integrated development environment is filled with programming tools that can impress both new and experienced developers. It provides all the tools in a centralized system so you can increase your efficiency and effectiveness. Features like code analysis, graphical debugger, and unit tester helps you integrate Python programs with version control systems. In fact, every single output you make will be capable of web development from different web frameworks like Django, web2py, and Flask. It offers automated tools like code refactorings, PEP8 checks, and testing assistance to create your code, but what stands out the most is Smart Assistance. It fixes any of your errors or complete portions of your code. With PyCharm, you can expect a neat and maintainable code.

Our take

Anaconda’s host of innovative options makes it the best data science platform for all enterprises. By offering superior collaboration tools, scalability, and security, you never have to worry about gathering big data again.

Should you download it?

If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.

Anaconda Python 3.6.5

5.0.0