DataPrep is designed for computational notebooks, the most popular environment among data scientists.
DataPrep is built using Pandas/Dask DataFrame and can be seamlessly integrated with other Python libraries.
DataPrep is free, open-source software released under the MIT license. Anyone can reuse DataPrep code for any purpose.
According to the 2020 State of Data Science survey by Anaconda, data preparation still takes the majority of time in a typical data professional’s day. To solve this issue in the next decade, we have to THINK DIFFERENT.
|0||[Dong-Uk Lee, Ho Sung Cho, Jihwan Kim, Young J...||22.3 A 128Gb 8-High 512GB/s HBM2E DRAM with a ...||[ISSCC]||334-336||2020||Conference and Workshop Papers||10.1109/ISSCC19947.2020.9062977|
|1||[Heon-Cheol Lee, Seung-Hee Lee, Seung-Hwan Lee...||Comparison and analysis of scan matching techn...||[URAI]||165-168||2011||Conference and Workshop Papers||10.1109/URAI.2011.6145953|
|2||[Hyun-Woo Lee, Won-Joo Yun, Young-Kyoung Choi,...||A 1.6V 3.3Gb/s GDDR3 DRAM with dual-mode phase...||[ISSCC]||140-141||2009||Conference and Workshop Papers||10.1109/ISSCC.2009.4977347|
|3||[Dae-Won Lee, Kwang-Sik Chung, Hwa-Min Lee, Su...||Managing Fault Tolerance Information in Multi-...||[IDEAL]||104-108||2003||Conference and Workshop Papers||10.1007/978-3-540-45080-1_15|
|4||[Jang-Woo Lee, Dae-Hoon Na, Anil Kavala, Hwasu...||A 1.8 Gb/s/pin 16Tb NAND Flash Memory Multi-Ch...||[VLSI Circuits]||1-2||2020||Conference and Workshop Papers||10.1109/VLSICIRCUITS18222.2020.9163052|
DataPrep.Connector is an intuitive, open-source API wrapper that speeds up development by standardizing calls to multiple APIs as a simple workflow. Streamline calls to multiple APIs through one intuitive library.
DataPrep.EDA is the fastest and the easiest EDA tool in Python. It allows data scientists to understand a Pandas/Dask DataFrame with a few lines of code in seconds.