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bedrijven
We hebben gegevens over 30 bedrijven die PyPy gebruiken. Deze samengestelde lijst is beschikbaar voor download en is verrijkt met essentiële bedrijfsgegevens, waaronder industrieclassificatie, organisatiestructuur, geografische locatie, financieringsrondes en omzetcijfers, onder andere.
Bedrijf | Land | Industrie | Werknemers | Omzet |
---|---|---|---|---|
Continental Marketing, Inc | Verenigde Staten | 25 | ||
KAR Global | Verenigde Staten | Motor Vehicle Manufacturing | 2.6K | $18M |
Capgemini Engineering | Frankrijk | It Services And It Consulting | 49K | |
Continental Marketing, INC | Verenigde Staten | 32 | ||
Datadog | Verenigde Staten | Software Development | 6.9K | $2.1B |
Trayport | Verenigd Koninkrijk | Software Development | 361 | $6.5M |
Telus International | Canada | It Services And It Consulting | 75K | $2.5B |
Cyient | India | Engineering Services | 19K | $644M |
Q1 Technologies | India | It Services And It Consulting | ||
Software International | Maleisië | It Services And It Consulting | 140 | |
Soltia AB | Zweden | It Services And It Consulting | 45 | |
Infopulse | Oekraïne | It Services And It Consulting | 1.8K | $50M |
Wil je de volledige lijst downloaden?
Meld je aan en download de volledige lijst van 30 bedrijven
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Technologiegebruikstatistieken en marktaandeel
U kunt deze gegevens aanpassen aan uw behoeften door te filteren op geografie, industrie, bedrijfsomvang, omzet, technologiegebruik, functietitels en meer. U kunt de gegevens downloaden in Excel- of CSV-formaat.
Je kunt meldingen krijgen voor deze gegevens. Je kunt beginnen door de technologie te selecteren waarin je geïnteresseerd bent en dan ontvang je meldingen in je inbox wanneer er nieuwe bedrijven zijn die die technologie gebruiken.
U kunt zijn gegevens exporteren naar een Excel-bestand, dat in uw CRM kan worden geïmporteerd. U kunt de gegevens ook exporteren naar een API.
PyPy wordt gebruikt in 8 landen
Er zijn 94 alternatieven voor PyPy
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Veelgestelde vragen
Onze gegevens zijn afkomstig van vacatures die zijn verzameld van miljoenen bedrijven. We monitoren deze vacatures op bedrijfswebsites, vacaturebanken en andere wervingsplatforms. Het analyseren van vacatures biedt een betrouwbare methode om de technologieën te begrijpen die bedrijven gebruiken, inclusief hun gebruik van interne tools.
Wij verversen onze gegevens dagelijks om ervoor te zorgen dat u toegang hebt tot de meest actuele informatie die beschikbaar is. Dit frequente actualisatieproces garandeert dat onze inzichten en intelligentie de laatste ontwikkelingen en trends binnen de industrie weerspiegelen.
PyPy, short for Python implementation in Python, is an alternative implementation of the Python programming language. It aims to improve the execution speed of Python code through a just-in-time compiler. Unlike the standard CPython implementation, which interprets Python code, PyPy uses a translation toolchain to convert Python code into lower-level languages for faster execution. This technology is popular among developers looking to boost the performance of their Python applications without sacrificing the ease of development that Python is known for.
PyPy falls under the category of Languages in the technology landscape. As a specialized Python implementation, PyPy caters to developers who prioritize speed and performance in their Python projects. By utilizing a just-in-time compiler, PyPy offers a significant speedup compared to traditional Python interpreters, making it a valuable tool for tasks requiring computational efficiency.
The PyPy project was founded in 2004 by a group of developers with the motivation to address the performance limitations of traditional Python implementations. Their goal was to create a high-performance alternative to CPython that could leverage advanced optimization techniques to speed up Python code execution. Over the years, the PyPy team has continued to refine and enhance the technology, cementing its position as a go-to solution for developers seeking performance gains in Python applications.
Currently, PyPy holds a niche market share within the category of Languages, with a dedicated user base that values its speed and performance benefits. While PyPy may not have the widespread adoption of mainstream Python implementations, its unique value proposition continues to attract developers working on performance-critical projects. With ongoing advancements and community support, PyPy is poised to maintain its position in the market and potentially see growth as more developers prioritize speed optimization in their Python development workflows.
PyPy is a high-performance implementation of the Python programming language. It offers a range of benefits that make it a popular choice among companies seeking efficient and flexible solutions for their development needs.
PyPy's just-in-time (JIT) compiler significantly boosts the execution speed of Python code compared to the standard Python interpreter. This results in faster application performance and reduced processing times, making PyPy an ideal choice for high-throughput applications and time-critical processes.
PyPy's memory management capabilities outperform traditional Python interpreters by utilizing advanced garbage collection techniques. This leads to more efficient memory usage, reduced memory leaks, and enhanced overall stability of applications, ensuring smoother operations and better resource utilization.
PyPy's compatibility with C extensions allows companies to seamlessly integrate existing C libraries and modules into their Python applications. This enables the reuse of valuable legacy code and facilitates the development of complex applications that leverage both Python's flexibility and C's performance.
PyPy's support for multi-threading and concurrency mechanisms enables companies to design and implement scalable, parallelized applications with ease. By leveraging PyPy's concurrency features, companies can effectively utilize modern hardware architectures and optimize resource utilization for better performance and responsiveness.
PyPy benefits from a vibrant community of developers and contributors dedicated to enhancing its features, performance, and compatibility. This active community ensures timely updates, bug fixes, and optimizations that keep PyPy in line with evolving industry standards and best practices. Companies leveraging PyPy can benefit from ongoing improvements and innovations to enhance their development workflows and software capabilities.
PyPy is a popular alternative Python implementation that focuses on speed and efficiency. Several well-known companies have incorporated PyPy into their tech stacks to enhance performance. Let's take a look at a few case studies of companies effectively utilizing PyPy:
1. Dropbox: Dropbox, a leading cloud-based file storage service, implemented PyPy to optimize the performance of their backend Python services. By leveraging PyPy's Just-In-Time (JIT) compiler, Dropbox was able to achieve significant speed improvements in their data processing pipelines. They started using PyPy in early 2017 and have since seen a notable reduction in processing times, allowing them to handle larger volumes of data more efficiently.
2. Instagram: Instagram, the popular photo-sharing social platform, integrated PyPy into their server infrastructure to improve the scalability of their services. By utilizing PyPy's efficient memory management and runtime speed, Instagram was able to enhance the responsiveness of their platform during peak usage periods. They adopted PyPy in late 2016 and have since experienced smoother performance across their application, leading to a better user experience for millions of users worldwide.
3. Yelp: Yelp, the well-known online platform for crowd-sourced reviews, turned to PyPy to enhance the performance of their recommendation algorithms. By harnessing PyPy's enhanced runtime capabilities, Yelp was able to process user input more swiftly and deliver personalized recommendations in real-time. They began utilizing PyPy in mid-2018 and have since seen a notable increase in the efficiency of their recommendation engine, driving higher user engagement and satisfaction.
These case studies demonstrate how companies like Dropbox, Instagram, and Yelp have successfully incorporated PyPy into their technology stack to achieve performance gains and optimize their services effectively. By leveraging PyPy's unique features, these companies have been able to enhance their applications, improve scalability, and deliver a seamless user experience to their customers.
Je kunt een bijgewerkte lijst van bedrijven die PyPy gebruiken vinden door TheirStack.com te bezoeken. Ons platform biedt een uitgebreide database van bedrijven die verschillende technologieën en interne tools gebruiken.
Vanaf nu hebben we gegevens over 30 bedrijven die PyPy gebruiken.
PyPy wordt gebruikt door een divers scala aan organisaties in verschillende sectoren, waaronder "Motor Vehicle Manufacturing", "It Services And It Consulting", "Software Development", "Software Development", "It Services And It Consulting", "Engineering Services", "It Services And It Consulting", "It Services And It Consulting". Voor een uitgebreide lijst van alle sectoren die PyPy gebruiken, bezoek dan TheirStack.com.
Sommige van de bedrijven die PyPy gebruiken, zijn onder andere Continental Marketing, Inc, KAR Global, Capgemini Engineering, Continental Marketing, INC, Datadog, Trayport, Telus International, Cyient, Q1 Technologies, Software International en nog veel meer. Je kunt een complete lijst van 30 bedrijven die PyPy gebruiken vinden op TheirStack.com.
Gebaseerd op onze gegevens is PyPy het populairst in Verenigde Staten (7 companies), Canada (5 companies), Frankrijk (3 companies), Verenigd Koninkrijk (3 companies), India (2 companies), Maleisië (1 companies), Zweden (1 companies), Oekraïne (1 companies). Het wordt echter door bedrijven over de hele wereld gebruikt.
Je kunt bedrijven vinden die PyPy gebruiken door ernaar te zoeken op TheirStack.com. We volgen vacatures van miljoenen bedrijven en gebruiken deze om te ontdekken welke technologieën en interne tools ze gebruiken.