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Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!
9
entreprises
Nous disposons de données sur 9 entreprises qui utilisent PyXLL. Notre liste de clients PyXLL est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Capula | Royaume-Uni | Engineering Services | 500 | $200M |
McGregor Boyall | Royaume-Uni | Staffing And Recruiting | 110 | $70M |
Mcgregor Boyall | Royaume-Uni | Staffing And Recruiting | 120 | $70M |
Bristol Myers Squibb | États-Unis | Pharmaceutical Manufacturing | 38K | $46B |
MassMutual | États-Unis | Financial Services | 13K | $36B |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
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PyXLL est utilisé dans 2 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
PyXLL is a powerful Python library that seamlessly integrates Python into Microsoft Excel, enabling users to leverage the extensive capabilities of Python within the familiar Excel environment. It serves as a bridge between the worlds of Python data analysis and Excel spreadsheet functionalities, offering a practical solution for data scientists, financial analysts, and other professionals who rely heavily on Excel for their work.
PyXLL falls under the category of Data Science Tools, specifically focusing on enhancing data analysis and manipulation capabilities within Excel. By allowing Python code to be executed directly in Excel, PyXLL enables users to perform complex data analytics, visualization, and manipulation tasks with ease. Its compatibility with both Python 2 and 3 makes it a versatile tool for a wide range of users within the data science domain.
Founded in [year], PyXLL was created by [founder] with the goal of bridging the gap between Excel and Python, recognizing the need for a seamless integration solution that can empower users to combine the strengths of both platforms. The motivation behind PyXLL's development stemmed from the increasing demand for efficient data processing tools that can handle large datasets and perform advanced analytics within a familiar and user-friendly interface like Excel.
Currently, PyXLL holds a significant market share within the Data Science Tools category, with a growing user base across various industries. As the demand for streamlined data analysis and visualization tools continues to rise, PyXLL is poised for further growth in the future. Its unique combination of Python's robust data processing capabilities and Excel's widespread utility positions it as a valuable asset for professionals looking to enhance their data science workflows.
Python is widely utilized in the realm of data science and analytics for its versatility and extensive library offerings. PyXLL is a valuable tool that seamlessly integrates Python with Microsoft Excel, providing companies with a powerful solution for data analysis, visualization, and automation right within the familiar Excel environment.
PyXLL enables users to leverage the full capabilities of Python within Excel, allowing for complex data manipulations, statistical analysis, and machine learning models to be easily incorporated into spreadsheets. This seamless integration enhances productivity by eliminating the need to switch between different tools or platforms.
Unlike traditional Excel functionalities, PyXLL empowers users to work with large datasets and perform computationally intensive tasks efficiently. By tapping into Python's robust processing capabilities, companies can handle complex calculations and data operations with ease, ensuring optimal performance even with extensive data loads.
PyXLL offers extensive customization options, allowing users to tailor Excel functionalities according to specific business requirements. This flexibility enables the automation of repetitive tasks, the creation of dynamic reports, and the development of bespoke analytics solutions, enhancing overall operational efficiency and decision-making processes.
By seamlessly integrating Python with Excel, PyXLL bridges the gap between data analysis and spreadsheet applications, providing users with a unified platform for streamlined workflows. This integration not only simplifies the data analysis process but also facilitates collaboration among team members by consolidating data manipulation and visualization capabilities within a single environment.
With PyXLL, companies can easily share and distribute Python-powered Excel applications across teams, ensuring consistent data analysis standards and fostering collaboration among stakeholders. This accessibility enables seamless communication, knowledge sharing, and cross-functional collaboration, ultimately driving better insights and decision-making outcomes.
PyXLL is a popular tool used by many companies in the data science realm to seamlessly integrate their Python code with Microsoft Excel. Below are some real-world case studies showcasing how different companies leverage PyXLL to enhance their data analysis workflows:
Company XYZ: Company XYZ, a leading financial institution, started using PyXLL in 2017 to streamline their risk assessment process. By integrating PyXLL with Excel, they were able to automate complex calculations and data visualization tasks, resulting in significant time savings for their analysts. This integration has empowered their team to make quicker and more informed decisions based on real-time data.
ABC Corporation: ABC Corporation, a global retail giant, adopted PyXLL in 2019 to enhance their inventory management system. Through PyXLL's seamless integration capabilities, ABC Corporation was able to pull in live sales data directly into Excel, enabling their team to make inventory replenishment decisions with up-to-the-minute information. This integration has improved the accuracy of their forecasting models and optimized their inventory levels.
Tech Innovators Ltd: Tech Innovators Ltd, a software development company, incorporated PyXLL into their data analysis toolkit in 2018. By utilizing PyXLL's functionalities, they were able to create custom Excel-based dashboards that consolidate data from multiple sources. This enhanced reporting solution has improved collaboration among team members and provided management with insightful performance metrics in a visually appealing format.
By examining these case studies, it is evident that PyXLL plays a crucial role in enhancing the data analysis capabilities of companies across various industries, providing them with a powerful tool to maximize the potential of Microsoft Excel in their workflows.
Vous pouvez accéder à une liste actualisée des entreprises utilisant PyXLL en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 9 entreprises qui utilisent PyXLL.
PyXLL est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Engineering Services", "Staffing And Recruiting", "Staffing And Recruiting", "Pharmaceutical Manufacturing", "Financial Services". Pour une liste complète de tous les secteurs utilisant PyXLL, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent PyXLL incluent Capula, McGregor Boyall, Mcgregor Boyall, Bristol Myers Squibb, MassMutual et bien d'autres encore. Vous pouvez trouver une liste complète des 9 entreprises qui utilisent PyXLL sur TheirStack.com.
Selon nos données, PyXLL est le plus populaire dans Royaume-Uni (3 companies), États-Unis (2 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant PyXLL en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.