Propisj Trafaret
The typeface was designed at ParaType (ParaGraph) in 1997 by Manvel Shmavonyan for Russian primary school sample writing schoolbooks. The typeface is based on script fonts presented in the book 'Rodnoy Mir'. The first version of the font included just letters of Russian alphabet and basic set of figures and signs. The second version with extended set of alphabetic letterforms was developed in 2004 by Gennady Fridman. Current third version that covers full Cyrillic and Western code pages was prepared by Gennady Fridman and released in 2009. Medium style also was added by him in 2009.
Ultimate transformation library that supports validation, contexts and aiohttp. Trafaret is rigid and powerful lib to work with foreign data, configs etc. It provides simple way to check anything, and convert it accordingly to your needs. It have shortcut syntax and ability to express anything that you can code. Typefaces: Academy‚ Acsioma‚ Ad Lib‚ Adamant‚ AdLib WGL4‚ Adonis‚ Adventure‚ AdverGothic‚ Aelita‚ Agafia‚ Airy‚ Aksent‚ URW Alcuin‚ Aldine 401‚ Alien Alphabet‚ Alliance‚ Amore‚ Anastasia Script‚ Angelica‚ ITC Anna‚ Aphrosine‚ Apical‚ Arabskij‚ Arbat‚ Arial® Cyrillic‚ Ariergard‚ Ariergard.
• Until now, the system would only treat combinations of words, spaces and hyphens specifically. For example, 'sans serif font' will not return 'sans' or 'sans-serif' but only items that have 'sans serif font' typed exactly. • Now, adding a plus sign will return multiple single keywords, while adding a comma will match either keyword.
For instance, 'sans+geometric' will look for items containing both of those words individually--a smaller, more focused result--while 'sans,geometric' will return all items that contain either of those keywords--a much larger result. • Save money!
To find out what's currently on sale, simply type, 'sale+' the item. For instance, 'sale+serif' will find all serif items that are on sale. • See what's popular!
Use the 'View Popular Keywords' feature in the toolbar to find a quick list of popular items (based on keyword counts).
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