Executive Guide to Machine Learning
Get our Executive Guide for everything you need to know to get started with ML. We cover everything from the benefits to your business to the build-or-buy process, to help you implement ML in your organization.
White Paper - License to Code - How to Mitigate Open Source License Risks
According to Gartner, as much as 95% of IT organizations leverage open source software (OSS). However, incorporating OSS into your project often comes with licensing terms that place obligations on how you can distribute your product.
Why Go Will Replace Java and C - White Paper
Java and C remain the most widely used development frameworks, but the world of software delivery has changed. Learn why Go is the key to modern enterprise application development, and how you can adopt Go to stay competitive.
Guide: Unlocking the Power of Data Science and Machine Learning with Python
This guide explores how organizations are using Python for advanced analytics, machine learning and operationalizing results. Learn how Python compares with other languages and get an overview of Python's data science ecosystem.
Guide: Selecting the Right Languages for Your Web Applications
Choosing the right programming language for enterprise web applications can be a daunting task. This guide compares Java, Python, Ruby, Go, Node.js and PHP with pros and cons of each to help you drive your digital-first strategy.
Big Data Python White Paper
This whitepaper covers details on integrating Python with commercial relational database management systems (RDBMS) including specifics on tools and resources to utilize.
7 Reasons Future of Tcl is Bright
We recently spoke to Clif Flynt, President and CTO of Noumena Corporation, to get his view on the future of Tcl. Clif is the author of the TclTutor package and the books Tcl/Tk for Real Programmers and Tcl/Tk: A Developer’s Guide.
Python: The Programmers Lingua Franca
Since you can't be proficient in every programming language under the sun, a language that bridges technologies and allows people to communicate their ideas is needed. A few programming languages have tried to fill this role over the years, but none holds as much promise as Python
OS-Independent Interpreters: Preventing Incompatibility Using Cross-Platform Language Distributions
Standardization makes for efficient rolling out updates and security patches, installing software, and providing user support. However, programs requiring an interpreter run (i.e. dynamic languages like Perl, Python, Tcl, Ruby and PHP) are often exempted from this standardization. Such programs are often set up in an ad-hoc fashion, sometimes leading to dire consequences that could cost your company time, money and resources. What are your options?