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![]() ![]() This is especially the case if your team is remote, but wikis can make any team's workflow more efficient. Wikis make working together across locations and departments possible. Ready to start creating your own company wiki? Join Slite for free-> Why is a wiki valuable to a growing team? Manage a specific project: Wiki pages are also great collaboration tools if you want to brainstorm, upload content, or write as group.Store historical documents, policies & procedures: The archive function of most wikis helps you maintain a clean interface while still hanging on to older documents, and keep a record of company history.Answer technical questions: To avoid employees asking the IT department the same questions over and over again, you can include a technical FAQ section in your wiki.Once filled with documents, wikis become resources that your employees turn to whenever they need a burning question answered. Share company resources: Wikis are great tools for documenting your company's many processes.They will also save time in the onboarding process. Onboard new employees : Wikis make great resources for new employees to find information and training materials.A few of the most common uses of professional wikis are: Since we're focusing on professional wikis in this guide, let's dig deeper in that context. Contribute information (teach something).Whether you’re using a wiki for professional or personal reasons, you're doing so because you want to either: The Handbook is part of our team wiki at Slite. What are wikis used for in business?Ĭompany wikis are used to share learning and knowledge in a team. ![]() ![]() Private wikis are often used by companies and teams who want to store proprietary data and develop knowledge over time. If Wikipedia and fansites are completely open to the public, private wikis use permit control to limit who can see them. Each fansite contains encyclopedic information about characters, settings, and storylines. Good alternate wiki examples are the fansites for the fictional universes of Harry Potter, Lord of the Rings, and Star Wars. That's a lot of server storage just for wikis. In 2021, the English Wikipedia contained over 6 million articles and was the 13th most popular website in the world. Wikipedia actually isn't considered an individual wiki, but rather a digital encyclopedia or collection of hundreds of wikis in different languages. The most famous example of a wiki is Wikipedia. Wikipedia calls itself "the free encyclopedia that anyone can edit." They're powered by technology known as a wiki engine, or wiki software. Wikis usually have different pages dedicated to different topics or themes. Accordingly, any user is able to add, edit or remove content. Put simply, a wiki is a website, database or online community that is managed by its users. It's kind of like how Adidas stands for founder Adi Dassler, not All day I dream about sports. A quick search in your web browser will tell you that some identify wiki as an acronym that stands for what I know is or world internet knowledge index, although this was not Cunningham's original intent. Since Ward Cunningham, the word wiki has taken on many other meanings. Ward Cunningham, the first wiki software developer and inventor of the Wiki Wiki Web in 1995, chose this term because he dubbed his wiki as, "the simplest online database that could possibly work." The word wiki means "quick " in the Hawaiian language, and the inspiration for the first wiki came from a Honolulu airport bus called the Wiki Wiki Shuttle. ![]() ![]() ![]() Your customers can redeem discount codes in your online store. if the discount combines with other discount classes.which products, collections, or variants the discount can be applied to.a minimum order amount before the code can be used.the number of times that a code can be used. ![]() When you create a discount code, you can specify the following: Your customers need to enter the code during checkout to receive the discount. To distribute this discount code, you can send the code to your customers by email, or display it on your online store. When you create a new discount code, it appears on the Discounts page in your Shopify admin. If you sell online, then you can offer buy X get Y discounts to encourage customers to buy items. 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Into the dead 2 is a story-based action-packed offline Zombie video game set in a post-apocalyptic world filled with zombies.ĬHECK ALSO: Download AeroFly 2 Simulator MOD Apk Free for Android It’s arranged in no particular order of preference. Best Free Offline Zombie Games For Androidīelow are the best zombie games you can play offline without internet data or WiFi. In some games, players must also deal with other threats besides just zombies, such as other survivors who may be hostile or rival groups of survivors. Some popular examples of zombie games include “Left 4 Dead,” “ Resident Evil,” “Days Gone,” and “The Last of Us.” Zombie games can be played in a variety of different settings, such as post-apocalyptic cities, rural areas, or on a global scale. These games often involve scavenging for resources, building shelters, and fighting off zombies in order to survive. Zombie games are a subgenre of survival horror video games that involve surviving against waves of undead creatures, also known as zombies. ![]() ![]() ![]() Necessary cookies are absolutely essential for the website to function properly. I was wondering if anyone had any knowledge of this and whether it is a viable option for all DNS-325 owners to get Twonky? For me it is a pleasant surprise, I confirm it is wonderful and very useful.” I am testing some of them (with firmware 1.04b), such as:Ħ) twonkymedia server : an alternate dlna server, just another world if compared with built-in dlna server. It states: “I also suggest the following russian D-Link page ( – translation from russian ) that contains all addons for DNS-325… Has anyone here seen this comment on the d-link forums with a link to Twonky as an addon from the russian d-link site? There are also other addons listed too. Ping ping: bad address 'I’ve just picked up a DNS-325 and quite quickly noticed the limitations of the supplied media server implementation, so I was considering installing Twonky on there as it seems to be a good option. All other devices on the network can access the internet. My NAS (Static IP) is wired directly to my router (Buffalo with DD-WRT) which is running DHCP. I’ve tried disabling the firewall but that didn’t change anything. Wget: unable to resolve host address `wolf-u.li'Ĭan anyone provide some information on what the NAS network settings need to be so that the NAS can ping outside the network. ![]() I’m having trouble with ‘wget’ and ‘rsync’ because my NAS isn’t reaching outside the network. I also added the following to fun_plug.local:įor unwanted in portmap.sh dnsmasq.sh mysqld.sh unfsd.sh btpd.sh lighttpd.sh kickwebs.sh telnetd.sh svnserve.sh rsyncd.sh If I remember correctly the permission thing also caused a lot of services to start that I didn’t want. 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NOTE: As i showed earlier, on an average a movie can have 3 tags right. We can see that Murder, Violence and Flashback are the top three most occurring tags. sorted_data=all_data.sort_values('imdb_id', axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last') all_data=sorted_data.drop_duplicates(subset= df_tag_count = pd.DataFrame(data_tag_count) df_tag_count = df_tag_count.sort_values('count', axis = 0, ascending = False) tag_counts = df_tag_count.values plt.figure(figsize=(20,10)) plt.plot(tag_counts) plt.title("Distribution of number of times tag appeared questions") plt.grid() plt.xlabel("Tag number") plt.ylabel("Number of times tag appeared") plt.show() plt.close() There may be chances of repetition of rows. ![]() Among all these columns, we will use only two of them which are plot_synopsis (story of movie text to featurize) and tags (as our class labels). The important detail is the column name in our dataset which are- imdb_id (id of movie), title (movie title), plot_synopsis (movie story), tags (like horror, murder, romantic), split (train-test split) and synopsis_source (source of movie details). Let me clear the things here in case image is not perfectly visible to you. To predict tags for the given movie synopses. Well this is only one of the all other important applications of Tag Prediction i have mentioned here.Įnough theory now. Then by predicting the tags for that movie using its available synopses, we can recommend that movie to the users who earlier watched different movie in the past but with the same tags, right. Suppose a new movie is arrived and we know its synopses. ![]() Now why the “Tag Prediction” is important and can be useful ? Well companies like NetFlix recommend movies to the users according to the movies they watched in past. 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