Search Results for "python data analysis"

x
Sort By:

Showing 2 open source projects for "python data analysis"

View related business solutions
JSON Go Clear Filters & Widen Search
  • The Most Awarded Employee Time Clock Software Icon
    The Most Awarded Employee Time Clock Software

    For businesses who have employees they need to track time, attendance, or schedule.

    Cloud based time clock solution that pre-populates reports for payroll. Employees can punch in on their desktop or mobile devices. Punching in & out is intuitive for your employees & easy for you to view & export time. Employees can clock in using a browser or our Google, iOS, & Android apps. You can view who's working, their GPS position or even limit where they can punch. We integrate with QuickBooks, ADP, Paychex, & SurePayroll while also offering Excel exports. Advanced features such as PTO Accrual Tracking, Punch Rounding, Job Codes, QR Codes, Automatic Breaks, & SSO are all included in our cloud based time clock.
    Learn More
  • The Cloud Sales Acceleration Platform Icon
    The Cloud Sales Acceleration Platform

    For businesses wanting a platform to list, manage, and co-sell on cloud marketplaces with minimal engineering effort

    Streamline and automate your cloud sales cycle, enhance operational efficiency, and capitalize on marketplace opportunities with the Clazar Cloud Sales Acceleration Platform.
    Learn More
  • 1
    Miller

    Miller

    Miller is like awk, sed, cut, join, and sort for name-indexed data

    Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the...
    Downloads: 10 This Week
    Last Update:
    See Project
  • 2
    Go support for Protocol Buffers

    Go support for Protocol Buffers

    The Go support for Google's protocol buffers

    Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next

Related Categories

MongoDB Logo MongoDB