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Anaconda
@anacondainc
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Anaconda is the worldβs most popular and trusted Python/R platform for data science, machine learning, and AI. We help people change the world. π
Austin, TX
Joined October 2011
Announcing the general availability of Anaconda Toolbox! π π§° . Designed for users at all skill levels, seamlessly generate code, create visualizations, & explore data - all within the familiar @msexcel environment. Read more in our press release π
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π£ Calling all #Python users! . We want to see how long you've been using the programming language. 'Retweet' if this is your first year using Python. 'Like' if you've been using Python for years.
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@moreorlessbunk We officially terminated our content license agreement with DataCamp today. Our training modules will come down in accordance with the contract terms. We do not have any other partnership or commercial relationship with DataCamp.
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Conda 4.7 is 2.5 times faster than 4.6. Here's how we did it: #DataScience #Conda #python #machinelearning.
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Weβre excited to announce that Anaconda Notebooks is now completely FREE !! π«π. Get started with:.π Ready-to-code Jupyter notebook.π§βπ¬ Tools for lightweight analysis.βοΈ Free storage & CPU seconds.π§βπ« Intro #Python & #datascience courses. Test it here π.
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The @condaproject is now on Twitter, and in case you didn't know, #conda is not our nickname. π . @condaproject will be our home base for all things related to the #OpenSource conda community. We will still be here for all Anaconda news and questions!
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Today @anacondainc unveils two new products to support data literacy. π Anaconda Notebooks, a 100% cloud hosted, browser based JupyterLab instance for #Python coding. π§ Anaconda Learning, an on-demand portal to learn #datascience fundamentals.
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Have you used *args and **kwargs in #Python? *args and **kwargs allow us to unpack many arguments into a function. Here, @anacondaincβs @sophiamyang explains the unpacking operators, *args, and **kwargs. Follow Anaconda for more Python tips π
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Weβre excited to unveil Python in Excel! Get ready for a whole new way to execute advanced analytics capabilities from within Excel π + π = π. Check out the new integration btwn @anacondainc & @msexcel, @Microsoft365 here π.
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Python libraries are becoming more similar in capability as data visualization trends toward convergence. Read how this helps users in @JamesABednar's second blog post of a three-part series:
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Great video! Python in Excel is set to be such a great tool for Excel users. We're proud to support Python in Excel and bring more folks into the #Python ecosystem! π.
Would you like to enable the new Python Integration in Microsoft Excel? I have made a video guide on how to get this done. Check it here and Bookmark it.
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π¨ @AnacondaInc is proud to share that is now generally available! π. Built upon @pyscript_dev, enables anyone to build rich, interactive, shareable #Python apps in any browser. ππ. Try it for free here:
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Weβre so excited for the milestone the pandas team has reached with the release of 1.0 today! #datascience @pandas_dev.
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We're excited to announce our collaboration with @Microsoft! This will enable customers to confidently access our curated library of #OpenSource packages within Microsoft Cloud-hosted products and services without requiring a separate license. @msPartner
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Datashader is a groundbreaking #Python library for rendering even the largest datasets quickly and accurately. In this session, discover how easy it is to use @datashader with your #ZbyHP data science-ready workstation and @nvidia GPUs. #GTC21
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Weβre thrilled to announce @anacondainc has acquired @PythonAnywhere, the easiest solution for building and deploying cloud-based Python web apps. With this, Anaconda takes another big step in advancing Python accessibility. Read the press release here π
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Anaconda's #dataviz tools help you understand what your #MachineLearning algorithms are doing. Check out and to get started!.
Really interesting visualisation of how various DR techniques (including #ivis) embed a complex dataset. 1,000,000 points visualised with the help of @datashader. #python #rstats #MachineLearning
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Did you know @HoloViz_org allows users to build #Python visualization and interactive dashboard with super easy and flexible code? @SophiaMYang shares more about this #DataViz tool in @TDataScience.
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We are excited to officially announce the hiring of two long-time #Python leaders, Russell Keith-Magee and Antonio Cuni! Read our press release to learn more about how Keith-Magee and Cuni will help us advance the data science frontier:
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Say hello to the new @edu_blocks, our free block-based programming tool for learning text-based coding!. The new release has lots of exciting new features:.π§βπ« Classrooms.π± Mobile Browser Support.𧱠Brand-new Blocks. Read the blog here π.
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Congrats to @pandas_dev and those on our staff who contribute to it for receiving the @czi grant to further development of this essential library!
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In the first in a 3-part series on the state of Python dataviz tools, @JamesABednar explores the packages currently available & how they are linked. Stay tuned for Jim's future posts on how the tools have evolved & where dataviz will go from here.
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Introducing the Anaconda Data Science Certification program! Weβre thrilled to partner with @DataCamp to establish a state-of-the-art benchmark for what it means to be a data scientist today.
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In light of the current COVID-19 situation, we are shifting #AnacondaCON to a virtual event. And guess what! Now itβs free to attend! Join us online June 3-5, 2020. Learn more at
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On the first day of Python, @anacondainc gave to me @pyscript_dev in the browser π΅ππ§βπ. With a twist on a classic carol, we're highlighting what we've brought to the #Python community this year. Read about the launch & experiment w/ PyScript today π.
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Weβre excited to announce that @AnacondaInc has just release a brand new way to publish your data apps using @Panel_org! π π. Check out this short video on how to deploy an app via Panel & test it yourself in this sample notebook π.
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Register for our webinar on Aug 26 to learn best practices for GPU computing in #Python including how to leverage @TensorFlow, @PyTorch, @CuPy_team, @rapidsai, and @numba_jit.
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This month we are featuring #opensource tools that promote fairness and mitigate discrimination and bias in #machinelearning. Anaconda is proud to support and contribute to #fairlearn thanks to @adrinjalali.
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Did you know you can use the @pandas_dev #Python library inside @msexcel to conduct advanced statistical modeling?. Watch here as Anacondaβs Sophia Yang reveals two ways to make a data frame in Excel using pandas. πΌ. Follow Anaconda for more Python in Excel resources! π
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Congratulations to Anaconda Data Scientist @TomAugspurger, who has been named a Python Software Foundation Fellow! Tom was recognized by @ThePSF for his ongoing contributions to the #Python ecosystem & for being a great mentor to the community.
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Did you know @HoloViz_org allows users to build #Python visualization and interactive dashboard with super easy and flexible code? @SophiaMYang shares more about this #DataViz tool in @TDataScience.
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The 2019.07 release of Anaconda Distribution - focused on #Conda performance - is available for download. Install times have decreased by over half for large packages like PyTorch. #Python #DataScience.
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Say hello to the winners of the first @AnacondaInc Data App Contest! π π π. π₯ First up is Kevin Lalli, Ivan D'Ortenzio, and David Householter for their SatGPT project. Check it out on @GitHub π π
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If youβre building #MachineLearning models without first establishing ethical standards, youβve put the cart before the horse. Here are a few ways to maximize fairness and minimize bias when it comes to your machine learning program:
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Anaconda is proud to partner with @DataCamp to bring interactive #datascience training to our customers. Read the full press release here:
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Last week we introduced a brand new way to build & deploy @Panel_org apps from within Anaconda Notebooks! π π. Build your own data app with this sample notebook π then, get ready for the @AnacondaInc #DataAppContest π !!.
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#Python tools for working with geographic data have made significant strides in the past few years β let us show you how to use them!. Sign up for tomorrow's webinar, where we will demonstrate the exciting new capabilities available for your applications.
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Join @JamesABednar tomorrow as he shares how easy it is to use @Datashader with a laptop, cluster, or NVIDIA GPU to understand all your data, letting you see everything in unprecedented detail without major software-engineering investments. #dataviz
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Introducing a new course to the Anaconda Learning platform - Introduction to SQL π. As the lingua franca of data, SQL knowledge is one of the most practical skillsets you can learn. Learn the fundamentals in this new course from @anacondainc π§βπ.
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You can now visualize your data using Python in Excel! π + π = π. @Anacondaincβs @SophiamYang has 3 tips for data viz in Excel in this video:. β Use the .plot function.β Explore dynamic visualizations in real time.β Import other visualization libraries. Follow for more!
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We've moved into a bigger & brighter office in Austin, TX! Join Anaconda's growing team as we continue to build the foundation of modern machine learning & AI: .#grandopening #ribboncutting #newoffice #AnacondaInc #datascience #machinelearning #ai
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With Dask, you can scale beyond a single machine while supporting the packages you're already using. Watch our on-demand webinar: #dask #scalingdatascience
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New to @TensorFlow? In our latest blog post, @jjhelmus will show you the best way to install it using #conda packages & tutorials for getting started.
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We'll see you at #SciPy2018, Pythonistas! π On Monday, check out Team Anaconda's tutorials on "Parallelizing Scientific Python with #Dask" & "#PyViz: Easy Visualization and Exploration for All Your Data"
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JupyterLabβthe next generation of web-based interface for @ProjectJupyterβ now ready for daily use!
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Have you used the Walrus operator in #Python? It was introduced in Python 3.8 & is useful for shortening code and avoiding repeated computations. @AnacondaIncβs @sophiamyang shows how to use the Walrus operator in this new video. Try it yourself & follow for more Python tips!
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In a new blog post, @TomAugspurger describes recent changes to TPOT, an automated #machinelearning library for Python, and how libraries can use @dask_dev internally to parallelize workloads for their users.
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Here at Anaconda, we believe diversity & inclusion make for a stronger, happier team. Happy #PrideMonth, friends! π β€οΈ π π π π π
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Today @NVIDIA launched the RAPIDS GPU Acceleration Platform for large-scale data analytics & machine learning. Anaconda helped NVIDIA develop these new capabilities, which will be available through our public package repository & in Anaconda Enterprise.
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If you're tuning into @JamesABednar's #AnacondaCON session, you saw Matplotlib now supports @datashader fully! #OpenSource
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We know #Python use is growing, but why? @StackOverflow thinks it may be due to #pandas: #DataScience #OpenSource
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Exciting newsβ As part of our partnership with @Microsoft, Visual Studio @Code is now available in #Anaconda! Learn more:
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Hundreds of millions of #Python packages are downloaded using #Conda every month. Weβre excited to announce the new tool βcondastatsβ that anyone can use to get usage stats for Conda packages! By @sophiamyang
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Did you hear that Python in Excel has launched? π€. This new integration btwn @anacondainc & @msexcel brings advanced data science to 100s of millions of new users. Learn from @sophiamyang in this short video & follow @anacondainc for more Python in Excel resources π
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"#Python has a solid claim to being the fastest-growing major programming language" @StackOverflow #DataScience
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In this @TDataScience piece, learn how to turn your analysis into an interactive #DataViz tool that lives inside your @ProjectJupyter notebook.
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Breaking: #DataScience And Deep Learning Application Leaders .Form GPU Open Analytics Initiative: @h2oai @MapD
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Do you know what iterables & iterators are in #Python?. In part 1 of this 3 part short tutorial, @anacondaincβs @sophiamyang walks through the basics of iterables & iterators. Test it in Anaconda's free cloud notebook & follow us here for more Python tips!
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Ready to build your own AI chatbot? π€. @anacondaincβs @sophiamyang & @IAteAnDrew1 show you how to build a retrieval-augmented generation (RAG) chatbot in this step-by-step guide. Build your own & tag us in what you build! π π.
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