NEC Launches Free Software FireDucks to Accelerate Data Analysis with Python Pandas, Japan

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NEC Corporation has unveiled the launch of FireDucks, a free software program aimed at accelerating data analysis using the Python pandas library. Python is the most widely used programming language today, making this initiative crucial for data scientists who rely on pandas for their analysis. By significantly reducing the data preparation time required for analysis, FireDucks can contribute to shorter analysis durations and reduced computing costs.

The beta version of FireDucks is now available online for free, providing an opportunity for users to experience its benefits firsthand. With the exponential increase in data collection, particularly in areas like sales, e-commerce, and financial transactions, data scientists face the challenge of preprocessing large datasets before analysis. On average, approximately 45% of a data scientist’s time is spent on data preparation, creating a need for faster and more efficient solutions.

NEC developed FireDucks to address this problem and accelerate the pandas library. Leveraging their extensive expertise in programming technology and acceleration gained from developing supercomputers over three decades, NEC aimed to create a software program that enhances performance. FireDucks can achieve up to 16 times faster data processing and reduce data analysis time by approximately 30%.

FireDucks boasts two key features: accelerated performance and high compatibility with pandas. With the ability to utilize all cores of a multi-core CPU and process large datasets in parallel, FireDucks maximizes computing power. Additionally, the software identifies the necessary data sets for generating results in advance, enabling efficient processing.

Moreover, FireDucks stands out for its high compatibility with pandas. While other libraries may offer faster processing speeds, they often require complex rewriting of the program. FireDucks only requires rewriting a single line of code, making it a user-friendly solution.

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Toyota Technical Development Corporation (TTDC) has already reaped the benefits of FireDucks during its operations. The use of FireDucks led to a 60% reduction in data analysis time using TTDC’s in-house AI framework, Spicy MINT, and a 76% decrease in the operating time of the analysis PC.

By providing the beta version of FireDucks free of charge, NEC aims to assist data scientists in reducing their workload and resolving environmental issues. The conservation of power and the subsequent reduction in carbon dioxide emissions achieved through faster data analysis can contribute to a more sustainable future.

NEC plans to continue improving FireDucks based on user feedback and aims to commercialize it by fiscal year 2024. This software was developed with the support of the New Energy and Industrial Technology Development Organization (NEDO) in Japan.

In conclusion, NEC’s launch of FireDucks, a free software program designed to accelerate data analysis using Python pandas, offers data scientists a valuable tool for faster and more efficient data preparation. With its accelerated performance and high compatibility with pandas, FireDucks has the potential to revolutionize the way data analysis is conducted, reducing analysis time and computing costs.

Frequently Asked Questions (FAQs) Related to the Above News

What is FireDucks?

FireDucks is a free software program developed by NEC Corporation to accelerate data analysis using the Python pandas library. It aims to reduce data preparation time and improve computing efficiency for data scientists.

How can FireDucks benefit data scientists?

FireDucks significantly reduces the time required for data preparation, which is estimated to consume around 45% of a data scientist's time. By accelerating the pandas library, FireDucks can contribute to shorter analysis durations and reduced computing costs.

Is FireDucks available for free?

Yes, the beta version of FireDucks is currently available online for free. Users can take advantage of its benefits firsthand and provide feedback to help improve the software.

What specific challenges does FireDucks address?

FireDucks tackles the challenge of preprocessing large datasets before analysis. With the exponential growth in data collection, particularly in areas like sales, e-commerce, and financial transactions, data scientists often spend a significant amount of time preparing data. FireDucks aims to accelerate this process and make it more efficient.

What are the key features of FireDucks?

FireDucks offers two key features: accelerated performance and high compatibility with pandas. It maximizes computing power by utilizing all cores of a multi-core CPU and processing large datasets in parallel. Additionally, it identifies the necessary data sets for generating results in advance, resulting in more efficient processing.

How user-friendly is FireDucks?

FireDucks is designed to be user-friendly. Unlike other libraries that may require complex rewriting of the program, FireDucks only requires rewriting a single line of code, making it accessible to data scientists regardless of their programming expertise.

Are there any real-world examples of FireDucks' benefits?

Yes, Toyota Technical Development Corporation (TTDC) has already experienced the benefits of FireDucks. It achieved a 60% reduction in data analysis time using FireDucks alongside its in-house AI framework. The operating time of the analysis PC also decreased by 76%.

What are NEC's plans for FireDucks?

NEC aims to continue improving FireDucks based on user feedback. It plans to commercialize the software by fiscal year 2024. The development of FireDucks was supported by the New Energy and Industrial Technology Development Organization (NEDO) in Japan.

How does FireDucks contribute to a sustainable future?

By enabling faster data analysis, FireDucks helps conserve power and reduces carbon dioxide emissions. The reduced computing time and energy consumption contribute to environmental sustainability and align with NEC's commitment to resolving environmental issues.

How can data scientists access FireDucks?

Data scientists can access the beta version of FireDucks online for free. They can visit the NEC Corporation website or other platforms where the software is available and download it for use in their data analysis projects.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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