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A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
1,162
aziende
Abbiamo dati su 1,162 aziende che usano Anaconda. La nostra lista di clienti Anaconda è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Anaconda | Stati Uniti | Retail | 500 | $42M |
ASCENDUM MAQUINARIA SAU | Spagna | 170 | ||
Town Pump | Stati Uniti | Retail | 770 | $250M |
State of Montana | Stati Uniti | Government Administration | 2.9K | $9.3M |
General Dynamics Information Technology | Stati Uniti | It Services And It Consulting | 103K | $7.9B |
Buchanan & Edwards | Stati Uniti | Government Administration | 501 | $130M |
Aware Inc. | Stati Uniti | Civic And Social Organizations | 11 | $21M |
Onyx Point, Inc. | Stati Uniti | It Services And It Consulting | 38 | $6.6M |
Illuminate Mission Solutions | Stati Uniti | Defense And Space Manufacturing | 240 | $75M |
Sunnybrook Health Sciences Centre | Canada | Hospitals And Health Care | 12K | $1B |
BT Group | Regno Unito | Telecommunications | 78K | $23B |
Carelon Global Solutions | Stati Uniti | Insurance Carriers | 13K |
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Anaconda è utilizzata in 35 paesi
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Anaconda is a popular open-source distribution of the Python and R programming languages used for data science, machine learning, and artificial intelligence. It comes pre-installed with various packages and libraries essential for data analysis, making it a go-to tool for data scientists, researchers, and developers. Anaconda provides a user-friendly platform to create, share, and manage data science and machine learning projects efficiently.
Anaconda falls under the category of Data Science Tools, catering to the needs of professionals working in data analytics and machine learning fields. It offers a comprehensive suite of tools, including Jupyter notebooks, NumPy, pandas, and scikit-learn, enabling users to perform data manipulation, analysis, visualization, and modeling seamlessly. With its extensive library support and robust development environment, Anaconda enhances productivity and accelerates the data science workflow.
Founded in 2012 by Continuum Analytics (now Anaconda, Inc.), Anaconda was created with the aim of simplifying the installation and management of data science dependencies. Continuum Analytics wanted to address the challenges faced by users in setting up the necessary tools and libraries for data analysis, thereby streamlining the process and fostering collaboration within the data science community.
Currently, Anaconda enjoys a significant market share within the Data Science Tools category, owing to its user-friendly interface, extensive package support, and robust performance capabilities. With the increasing demand for data-driven insights in various industries, the adoption of Anaconda is expected to grow in the future. As organizations continue to invest in data science and machine learning initiatives, Anaconda is likely to witness a surge in its market share, further solidifying its position as a leading platform for data analytics.
Anaconda is a widely-used platform in the realm of Data Science Tools, providing companies with a comprehensive solution for managing data, conducting analysis, and implementing machine learning models. Its popularity stems from the array of benefits it offers, making it a preferred choice for businesses looking to streamline their data processes efficiently.
Anaconda simplifies package management by offering a vast library of pre-built packages and dependencies, ensuring smooth integration and eliminating compatibility issues. Unlike manual installation methods, Anaconda's package manager enables users to effortlessly install, update, and manage packages, saving time and reducing the risk of errors.
With Anaconda, companies can create isolated environments for different projects, preventing conflicts between dependencies and versions. This feature enhances reproducibility and streamlines collaboration among teams, as each environment encapsulates the exact software configuration required for a specific task.
Anaconda boasts a rich collection of data science libraries and tools, such as NumPy, pandas, and scikit-learn, simplifying the development of complex analytical models. This extensive support enables companies to leverage a diverse range of functionalities without the need to search for and install separate libraries independently.
Anaconda's optimization for performance-critical tasks allows companies to execute computationally intensive operations efficiently, leveraging advanced capabilities like parallel processing and GPU acceleration. This scalability ensures that data processes can handle large volumes of information without compromising speed or accuracy.
Anaconda offers an intuitive interface and extensive documentation, making it accessible to both novice and experienced users. Its user-friendly design simplifies the learning curve for new adopters, enabling companies to onboard employees quickly and maximize the platform's capabilities without extensive training requirements.
Anaconda is a popular choice among various companies for its comprehensive data science tools and libraries. Let's delve into some real-world case studies of companies utilizing Anaconda to enhance their data analysis and machine learning capabilities:
1. IBM
IBM, a global technology and innovation company, incorporates Anaconda into its data science workflow to streamline model development and deployment processes. By leveraging Anaconda's extensive package management and environment creation features, IBM's data scientists can efficiently build and deploy scalable machine learning models across various projects. IBM started using Anaconda in 2017 to standardize their data science toolkit and enhance collaboration among team members.
2. Spotify
Spotify, the renowned music streaming platform, relies on Anaconda for its data exploration and analysis tasks. With Anaconda, Spotify's data analysts and scientists can easily access and utilize a wide range of data science libraries and tools for extracting valuable insights from user behavior data. Since adopting Anaconda in 2016, Spotify has seen significant improvements in data processing efficiency and model development speed.
3. Capital One
Capital One, a leading financial services provider, harnesses the power of Anaconda for its predictive analytics and risk assessment strategies. Anaconda enables Capital One's data science team to build and deploy complex machine learning models for credit scoring and fraud detection with ease. Capital One integrated Anaconda into its data science pipeline in 2015, empowering analysts to leverage advanced analytics techniques effectively.
These case studies demonstrate how prominent companies such as IBM, Spotify, and Capital One leverage Anaconda's data science tools to drive innovation, enhance decision-making processes, and achieve tangible business outcomes. By incorporating Anaconda into their workflows, these companies have unlocked new possibilities in data analysis, predictive modeling, and machine learning.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Anaconda visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,162 aziende che utilizzano Anaconda.
Anaconda è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Retail", "Retail", "Government Administration", "It Services And It Consulting", "Government Administration", "Civic And Social Organizations", "It Services And It Consulting", "Defense And Space Manufacturing", "Hospitals And Health Care". Per un elenco completo di tutti i settori che utilizzano Anaconda, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Anaconda includono Anaconda, ASCENDUM MAQUINARIA SAU, Town Pump, State of Montana, General Dynamics Information Technology, Buchanan & Edwards, Aware Inc., Onyx Point, Inc., Illuminate Mission Solutions, Sunnybrook Health Sciences Centre e molte altre. Puoi trovare un elenco completo di 1,162 aziende che utilizzano Anaconda su TheirStack.com.
Secondo i nostri dati, Anaconda è più popolare in Stati Uniti (526 companies), Regno Unito (68 companies), Francia (44 companies), India (33 companies), Canada (31 companies), Spagna (28 companies), Germania (27 companies), Singapore (18 companies), Australia (11 companies), Brasile (10 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Anaconda cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.