csv may not always be the easiest with which to work. Even though many editing tools are out there, not all offer a easy tool. We designed DocHub to make editing effortless, no matter the file format. With DocHub, you can quickly and easily blot clause in csv. In addition to that, DocHub delivers a variety of other features such as form creation, automation and management, industry-compliant eSignature services, and integrations.
DocHub also allows you to save effort by creating form templates from paperwork that you use frequently. In addition to that, you can benefit from our a wide range of integrations that allow you to connect our editor to your most used programs effortlessly. Such a tool makes it fast and simple to deal with your documents without any slowdowns.
DocHub is a useful tool for personal and corporate use. Not only does it offer a all-purpose set of features for form generation and editing, and eSignature implementation, but it also has a variety of tools that come in handy for creating complex and streamlined workflows. Anything added to our editor is kept safe according to major industry standards that safeguard users' information.
Make DocHub your go-to choice and streamline your form-based workflows effortlessly!
welcome to land Eddie with Mark in this video weamp;#39;re going to learn about exporting CSV files to the parquet file format weamp;#39;re going to be using a CSV file of ATB rankings for the last 50 years so that contains the rankings of male tennis players letamp;#39;s start by having a look at the size of the file and so we see weamp;#39;ve got 270 megabytes maybe a little bit more if we look at the number of rows we can see there are 12 million records and then finally letamp;#39;s have a quick look whatamp;#39;s in there so you can see weamp;#39;ve got the date weamp;#39;ve got the ranking weamp;#39;ve got the player and then weamp;#39;ve got the number of points that they had thereamp;#39;s not a big file but itamp;#39;s big enough to do what weamp;#39;re trying to do now the simplest way that we might think to convert this to parquet format would be to use something like pandas so we can do pandas read the CSV file and then call to park a and it will create a parqu