Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure
Native application identity and user-based security for your Azure cloud
Gain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
The program includes:
- regular translation (Translation window)
- translation of transcriptions (Transcription window)
- translation of the input text in third-party programs:
select the text and press the selected keyboard shortcut (Ctrl + Q by default)
IMPORTANT NOTE: This project has moved to Github: https://github.com/pkozelka/libxml2-pas
Pascal units accessing the popular XML API from Daniel Veillard ( http://www.xmlsoft.org ). This should be usable at least from Kylix and Delphi, but hopefully also from other Pascal compilers (like freepascal).
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Code to process human readable input is often highly stylized and repetitive.
This project extracts the common elements found in such code and makes
them available in a concise form as C tables and subroutines.
TeXPerfect plans to be a cross-platform, extensible, user-friendly yet expert-tunable visual TeX implementation. The most important feature will be a split screen (inspired by WordPerfect(R) Reveal Codes) showing the underlying TeX code.
Adapt is data conversion language developped in 1984 by Norman W. Molhant and Christophe Dupriez. It has been used in many circumstances, it translated itself in many programming environment and it should evolve now toward modern environments like Java.