★ Artificial Intelligence as we know it, is changing every aspect of our lives and of the society as a whole. From supply chains to education & from entertainment to healthcare, Artificial Intelligence is bringing about a paradigm shift in the way we live and operate.
★ Watch the above video to get interesting insights on
• Artificial Intelligence – An introduction
• ML - The world of Prediction Machines
• The ground breaking shift in problem solving
• Your career in this new world full of opportunities
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Install via pip:
$ pip install pytumblr
Install from source:
$ git clone https://github.com/tumblr/pytumblr.git $ cd pytumblr $ python setup.py install
pytumblr.TumblrRestClient is the object you'll make all of your calls to the Tumblr API through. Creating one is this easy:
client = pytumblr.TumblrRestClient( '<consumer_key>', '<consumer_secret>', '<oauth_token>', '<oauth_secret>', ) client.info() # Grabs the current user information
Two easy ways to get your credentials to are:
interactive_console.pytool (if you already have a consumer key & secret)
client.info() # get information about the authenticating user client.dashboard() # get the dashboard for the authenticating user client.likes() # get the likes for the authenticating user client.following() # get the blogs followed by the authenticating user client.follow('codingjester.tumblr.com') # follow a blog client.unfollow('codingjester.tumblr.com') # unfollow a blog client.like(id, reblogkey) # like a post client.unlike(id, reblogkey) # unlike a post
client.blog_info(blogName) # get information about a blog client.posts(blogName, **params) # get posts for a blog client.avatar(blogName) # get the avatar for a blog client.blog_likes(blogName) # get the likes on a blog client.followers(blogName) # get the followers of a blog client.blog_following(blogName) # get the publicly exposed blogs that [blogName] follows client.queue(blogName) # get the queue for a given blog client.submission(blogName) # get the submissions for a given blog
PyTumblr lets you create all of the various types that Tumblr supports. When using these types there are a few defaults that are able to be used with any post type.
The default supported types are described below.
We'll show examples throughout of these default examples while showcasing all the specific post types.
Creating a photo post
Creating a photo post supports a bunch of different options plus the described default options * caption - a string, the user supplied caption * link - a string, the "click-through" url for the photo * source - a string, the url for the photo you want to use (use this or the data parameter) * data - a list or string, a list of filepaths or a single file path for multipart file upload
#Creates a photo post using a source URL client.create_photo(blogName, state="published", tags=["testing", "ok"], source="https://68.media.tumblr.com/b965fbb2e501610a29d80ffb6fb3e1ad/tumblr_n55vdeTse11rn1906o1_500.jpg") #Creates a photo post using a local filepath client.create_photo(blogName, state="queue", tags=["testing", "ok"], tweet="Woah this is an incredible sweet post [URL]", data="/Users/johnb/path/to/my/image.jpg") #Creates a photoset post using several local filepaths client.create_photo(blogName, state="draft", tags=["jb is cool"], format="markdown", data=["/Users/johnb/path/to/my/image.jpg", "/Users/johnb/Pictures/kittens.jpg"], caption="## Mega sweet kittens")
Creating a text post
Creating a text post supports the same options as default and just a two other parameters * title - a string, the optional title for the post. Supports markdown or html * body - a string, the body of the of the post. Supports markdown or html
#Creating a text post client.create_text(blogName, state="published", slug="testing-text-posts", title="Testing", body="testing1 2 3 4")
Creating a quote post
Creating a quote post supports the same options as default and two other parameter * quote - a string, the full text of the qote. Supports markdown or html * source - a string, the cited source. HTML supported
#Creating a quote post client.create_quote(blogName, state="queue", quote="I am the Walrus", source="Ringo")
Creating a link post
#Create a link post client.create_link(blogName, title="I like to search things, you should too.", url="https://duckduckgo.com", description="Search is pretty cool when a duck does it.")
Creating a chat post
Creating a chat post supports the same options as default and two other parameters * title - a string, the title of the chat post * conversation - a string, the text of the conversation/chat, with diablog labels (no html)
#Create a chat post chat = """John: Testing can be fun! Renee: Testing is tedious and so are you. John: Aw. """ client.create_chat(blogName, title="Renee just doesn't understand.", conversation=chat, tags=["renee", "testing"])
Creating an audio post
Creating an audio post allows for all default options and a has 3 other parameters. The only thing to keep in mind while dealing with audio posts is to make sure that you use the external_url parameter or data. You cannot use both at the same time. * caption - a string, the caption for your post * external_url - a string, the url of the site that hosts the audio file * data - a string, the filepath of the audio file you want to upload to Tumblr
#Creating an audio file client.create_audio(blogName, caption="Rock out.", data="/Users/johnb/Music/my/new/sweet/album.mp3") #lets use soundcloud! client.create_audio(blogName, caption="Mega rock out.", external_url="https://soundcloud.com/skrillex/sets/recess")
Creating a video post
Creating a video post allows for all default options and has three other options. Like the other post types, it has some restrictions. You cannot use the embed and data parameters at the same time. * caption - a string, the caption for your post * embed - a string, the HTML embed code for the video * data - a string, the path of the file you want to upload
#Creating an upload from YouTube client.create_video(blogName, caption="Jon Snow. Mega ridiculous sword.", embed="http://www.youtube.com/watch?v=40pUYLacrj4") #Creating a video post from local file client.create_video(blogName, caption="testing", data="/Users/johnb/testing/ok/blah.mov")
Editing a post
Updating a post requires you knowing what type a post you're updating. You'll be able to supply to the post any of the options given above for updates.
client.edit_post(blogName, id=post_id, type="text", title="Updated") client.edit_post(blogName, id=post_id, type="photo", data="/Users/johnb/mega/awesome.jpg")
Reblogging a Post
Reblogging a post just requires knowing the post id and the reblog key, which is supplied in the JSON of any post object.
client.reblog(blogName, id=125356, reblog_key="reblog_key")
Deleting a post
Deleting just requires that you own the post and have the post id
client.delete_post(blogName, 123456) # Deletes your post :(
A note on tags: When passing tags, as params, please pass them as a list (not a comma-separated string):
client.create_text(blogName, tags=['hello', 'world'], ...)
Getting notes for a post
In order to get the notes for a post, you need to have the post id and the blog that it is on.
data = client.notes(blogName, id='123456')
The results include a timestamp you can use to make future calls.
data = client.notes(blogName, id='123456', before_timestamp=data["_links"]["next"]["query_params"]["before_timestamp"])
# get posts with a given tag client.tagged(tag, **params)
This client comes with a nice interactive console to run you through the OAuth process, grab your tokens (and store them for future use).
pyyaml installed to run it, but then it's just:
$ python interactive-console.py
and away you go! Tokens are stored in
~/.tumblr and are also shared by other Tumblr API clients like the Ruby client.
The tests (and coverage reports) are run with nose, like this:
python setup.py test
Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.
The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.
AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!
The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:
Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.
Subsets of Machine Learning
Natural Language Processing (NLP)
How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.
Specific Jobs in AI
The Future of AI
As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.
If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.
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Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. In financial institutions, AI techniques are often wont to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, also as automate manually intense data management tasks.
AI would have a coffee error rate compared to humans if coded properly. they might have incredible precision, accuracy, and speed. they will not be suffering from hostile environments, thus ready to complete dangerous tasks, explore in space, and endure problems that might injure or kill us.
1. AI goes to show your kitchen into a Michelin star restaurant
Smart kitchen appliances and smart speakers are making their way into kitchens all around the world. you’ll even have one now. Whether it is a coffee machine or an oven, these tools are evolving, learning your schedules and patterns so that they will provide you with warm food, coffee, etc. However, this is often just the start.
Your new smart fridge could also be ready to track when food is low and place orders for you when food is low. Or, better yet, AI might be wont to assist you to create the right meal with just the ingredients you’ve got within the refrigerator. Utilizing AI technologies with gastronomical learning, companies like Plant Jammer and Chefling are helping people create delicious food with the ingredients they need available. Currently, Facebook has developed an image-to-recipe generation system that permits users to reverse engineer a recipe by only taking an image of the dish.
2. The way you experience entertainment will change
Google Assistant, Cortana, and Alexa have already infiltrated your home, impacting the way you interact together with your TV and streaming services, allowing you to voice control almost everything; slowly making remotes obsolete. almost like the kitchen example, these devices are learning your watching habits, eventually directing you on what to observe. However, it’s getting to go much further.
3.You’re getting to have tons more fun together with your games
You may be proud of the gaming industry, or perhaps you wish to ascertain some major changes. Though a touch slower on the buyer side, there’s a change coming to the gaming industry, change driven by AI. Developers are using AI to make more immersive and realistic experiences, even within a fantasy world.
AI will better help developers create games that change on the fly, adapting to your gameplay. Even more so, if you’ve got old games that you simply would like remastered, AI is additionally getting used to enhance the general look of classic games. Finally, while reception, expect customized gaming experiences. If you want to learn AI and work practically then join the best Artificial Intelligence Training Institute in Noida and improve your skills now.
4. You’ll have your own Alfred soon
Maybe you usually wanted to possess a Jarvis AI system like Tony Stark? Or, perhaps you would like to travel the more traditional route and obtain yourself a loyal butler-like Alfred. Whichever the case, AI could make this possible via robotics. the world of robot personal assistants is an industry growing rapidly. Though some would simply dub the present models as just smart speakers with wheels, many of those current robotic personal assistants offer tons of impressive features. Soon, you would possibly have something that appears tons less like Wall-E and more just like the robots in iRobot
Robots like Jib are a little example of the approaching future. The social robot looks around, learning about you and your home. He even has an “expressive face.” He can even take pictures of you and share them on social media.
5. Enhanced health and fitness reception
Being able to watch patient’s reception with real-time data remotely, effectively, might be revolutionary. Going far beyond the Apple watch that you simply wear your wrist immediately, healthcare professionals could tap into the predictive powers of AI to work outpatients who are potentially in danger of disease or injury. This can give doctors tons more power but could alleviate a number of the pressure placed on the healthcare systems during flu season, saving lives. Companies like Gyant, Medopad, and Chonisense Medical are utilizing current AI technologies to seem after the elderly and chronic patients.
6. Your home will become more environmentally friendly
As humans, there’s no denying it; we will be wasteful, especially in our homes. However, having more control and knowledge of our waste and energy consumption could help us become more environmentally friendly, saving you money within the long-term. Though already available in some places across the planet, with products to get, AI energy-saving systems have yet to be fully adopted.
7. Your home is going to be ready to fix itself
The idea isn’t too far away. And, let’s agree home projects aren’t always the foremost exciting. Even more so, when something breaks in your home, you would like to repair it as soon as possible. a bit like a sensible medical device, homes are going to be ready to run self-diagnostics predicting potential issues before they occur, contacting the acceptable repairman, who may very well be a robot.
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Artificial Intelligence is now one of the most important emerging technologies to attempt to imitate human reasoning in AI networks. The benefits of Artificial Intelligent Software are tremendous and will revolutionize almost any industry. This technology is still in its early stages and there are many pros as well as cons of this technology. Although we cannot foresee the future, Artificial Intelligent software has the potential to significantly impact all industries and even society as a whole.
In the future, we are likely to see a vast improvement in AI technology and we will no longer need humans to operate those systems which make machines. We will also no longer need humans to program them. Nevertheless, the main question that remains is whether or not artificial intelligence is “good enough” and whether or not we are ready for that drastic change in our way of life. To date, we still have a long way to go and researchers are continuously making breakthroughs.
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One technology that would rule the 21st century in terms of its use is Artificial Intelligence (AI). It is a self-learning machine that uses its experiences to correct itself for delivering better results to the user in every aspect of life.
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