python sql Reviews & Product Details

It allows working on large data sets in excel. Apart from this, it helps to extract data and read files from excel. In addition, it allows creating tables of required data. Moreover, user support is very easy to have. Review collected by and hosted on G2.com.

It is not very simple to use this module and there is software available on the market for the same purpose as xlrd but with more features. Review collected by and hosted on G2.com.

Besides all the syntactic sugar that Python provides for writing scripts in a structured manner, it's fast and easy to maintain. Being Python, it can be run under Windows or Linux without portability concerns also. Review collected by and hosted on G2.com.

In contrast to other Python libraries, documentation can be hard to find. Review collected by and hosted on G2.com.

Works directly as an add-on for python, using the same language to do many versatile things. Overall fairly pleased wit its inner workings Review collected by and hosted on G2.com.

Python is a fairly rudimentary language, its one of the easiest to learn but within database organization I did not entirely enjoy using python sql. I prefer having a more front end visual approach, like using Access to manage databases. This is a preference rooted in your comfort with coding, I am not as familiar with python versus other languages, so it did not suit my needs well. Review collected by and hosted on G2.com.

It is a top-notch tool to handle data from different software and file formats, which makes it easy for professional workers to handle large data sets. In addition, it is often necessary to understand, what needs to be done. Review collected by and hosted on G2.com.

The problem I hate is the language it uses for programming, which seems hard to learn and use. Review collected by and hosted on G2.com.

Python SQL is a great library because it allows me to run my data analytics workflows in ways where I can visualize and reproduce different datasets and correlations that are part of my job. Review collected by and hosted on G2.com.

I dislike that Python SQL is open source and sometimes a challenge to understand use. It could use better documentation. Review collected by and hosted on G2.com.

I like python SQL the best because this library allows me to run queries on a postgresql database right from my computer, programmatically through SQL. Review collected by and hosted on G2.com.

The python SQL library is open source and I have trouble finding support for it besides documentation. Review collected by and hosted on G2.com.

I like how I can easily import and use the python SQL package and get my work done. It is lightweight and easy to use after importing the library. Review collected by and hosted on G2.com.

I dislike how python SQL package is open source and relatively hard to get support for. Review collected by and hosted on G2.com.

One of the most efficient and effective libraries to work with files in excel format. It has amazing features to work with from excel data sets. Review collected by and hosted on G2.com.

Different modules on the market can be used to extract and process excel data sets, which contain more efficient and updated features. Review collected by and hosted on G2.com.

Python SQL library lets me run analytic queries for my workflow easily and securely in Python. This really lets me work to replicate analytics and the capability to make the data flow automated. Review collected by and hosted on G2.com.

I dislike how python sql is an open source library and doesn't have the best support. Review collected by and hosted on G2.com.

Python SQL lets me do my job as a senior analyst very well. It's a plug and play library so I can put it into my Python installation and start running analytic SQL queries with our PostgreSQL database. This library supports a plethora of different libraries and that's very cool. Review collected by and hosted on G2.com.

I dislike how python sql is open source and hard to get support for. Review collected by and hosted on G2.com.