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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
aziende
Abbiamo dati su 9 aziende che usano PyXLL. La nostra lista di clienti PyXLL 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 |
---|---|---|---|---|
Capula | Regno Unito | Engineering Services | 500 | $200M |
McGregor Boyall | Regno Unito | Staffing And Recruiting | 110 | $70M |
Mcgregor Boyall | Regno Unito | Staffing And Recruiting | 120 | $70M |
Bristol Myers Squibb | Stati Uniti | Pharmaceutical Manufacturing | 38K | $46B |
MassMutual | Stati Uniti | Financial Services | 13K | $36B |
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Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
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Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano PyXLL 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 9 aziende che utilizzano PyXLL.
PyXLL è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Engineering Services", "Staffing And Recruiting", "Staffing And Recruiting", "Pharmaceutical Manufacturing", "Financial Services". Per un elenco completo di tutti i settori che utilizzano PyXLL, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano PyXLL includono Capula, McGregor Boyall, Mcgregor Boyall, Bristol Myers Squibb, MassMutual e molte altre. Puoi trovare un elenco completo di 9 aziende che utilizzano PyXLL su TheirStack.com.
Secondo i nostri dati, PyXLL è più popolare in Regno Unito (3 companies), Stati Uniti (2 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano PyXLL 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.
PyXLL è utilizzata in 2 paesi