DevOps Strategy For  Business Applications

ETH researchers from the Functional Materials Laboratory have developed a silicone heart that beats almost like a human heart. The soft artificial heart was created from silicone using a 3D-printing, lost-wax casting technique; it weighs 390 grams and has a volume of 679 cm3. They proved that the soft artificial heart fundamentally works and moves in a similar way to a human heart. However, it still has one problem: it currently lasts for about only 3,000 beats, which corresponds to a lifetime of half to three quarters of an hour. After that, the material can no longer withstand the strain.

credit: ETH zurich

Versatility and Convenience are what the e-commerce industry stands for; it is growing and transforming with each day. To ace as a retailer in the industry, technology can be adopted as the essential sidekick. Online retailers can expand their businesses at scale by continually monitoring trends and KPIs of competition, implementing a comprehensive strategy and following through with consistent work.

To assist the growth of online retailers, critical strategies that are not so commonly employed need to be implemented. Some of the not-so-common strategies are discussed below

Src:apacciooutlook

Know these to get started with Python.

Web Development has advanced over a period of time

Taking a Mobile First Strategy to Web-development

Changing trends in web design via web development

Java's Ongoing Popularity

The Era of Modern Web Development

Python as a first language: a roadmap to getting started.

I personally prefer Java as a first language. Put non-technically, it is a lot less convenient, so you get a more realistic idea of how computers work. Nonetheless, Python is an amazing language (with convenience as one of it’s values) so it makes sense as a gentle introduction. It’s also a popular language for data science and machine learning, so it’s great to have experience with.

The 3 ingredients you need to get started:

The Python Language Interpreter: when you write some code in a text file and save it as a .py file, the Python interpreter is what turns that code into commands that your computer can then actually preform. This is necessary.

An Integrated Development Environment (IDE): An IDE is like a helpful text editor for programming. Some basic features include auto-complete, typo and mistake catching, and automatic text coloring to make some parts of your code easier to find. This is optional but highly recommended.

Some learning resources: We’re going to need something about programming basics, problem solving in computer science, using an API, learning how to use google and stackexchange, data types, control structures, and then maybe an object-oriented programming intro, and eventually all the neat advanced features of the python language. Then we need to learn how to use Numpy (for scientific computing), Pandas (for easy data storage), and Tensorflow (machine learning!). Add some handy cheat-sheets for python, numpy, pandas, and Tensorflow, and we’re good to go.

Other posts will adress download, installation, and resources.

A curriculum:

Like I said up above, we need to know how to do the following. Save this and make it a checklist.

Learn to use google to answer questions about installing or using python, any packages, or computer science.

This also includes getting to know how to search Stackexchange, the website for coding questions n’ stuff.

How to install python 3 and get set up

How to install an IDE like Eclipse (with PyDev), IDLE, or Notebook++.

Programming basics: how does python work? What does the language look like? How does tabbing work?

Understand basic logic, including AND, OR, XOR, NOR, NAND, XNOR, Implies, and If…Else statements.

Variables: what are they, how do I set one and change it?

Basic math in Python.

Data types: what kinds of variables can I have? How does my computer store data? How do I use those types of data? What are the key commands and operations I know how to do?

Control structures: if, else, elif, for loops, while loops, break, continue

Methods! What are they, how do I make one, what can I do with it?

The open() command, the all() command, other neat built-in methods

<function name>= lambda <your variables>: <single line method>

Problem solving in computer science: now do fizbuzz.

What’s a package?

Importing packages, installing packages you don’t have with PIP

Using an API: how do I find one and how do I read it?

object-oriented programming in Python: what’s a class, how do I make one, how do I reference and instantiate one, methods, class vars, etc

Error handling: how to do exceptions

All the neat advanced features of the python language: iterators, generators, list comprehensions, enumerate, range, assert, with…as, etc.

Read through the Numpy API (for scientific computing), data types, matrices, stats, methods, etc. A short detour through scikit would be helpful.

Read through Matplotlib.pyplot API, plotting, plotting options, histograms, scatterplots, etc.

Pandas (for easy data storage), data frames, series, built-in operations on columns and rows, loading from a CSV, saving as a csv, apply, etc

Tensorflow (machine learning!) For basic stuff, shoot for knowing how to use the estimator package, which is discussed elsewhere on this blog. Also get to know the nitty gritty, including tensors, layers, tensorboard, etc.

Top Wearable Technology Startup companies

Developing an Alexa Skill can be the Smarter Way of Doing Business

Artificial intelligence (AI) has become one of the key driving factors for the success of businesses across all industries. With increasing adoption of AI today, companies are now looking for more innovative and smarter ways of 

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Adam Greenfield on Connected Things & Civic Responsibilities in the Networked City

There is nothing worse than enduring an extended network downtime, particularly in the modern business environment where it is fundamental to have a day in and day out access to networks. IT groups can occasionally lack the ability to distinguish the performance issues, which implies that the business stays in obscurity until it gets a call from a complaining customer. This prompts a delay in settling the issue, eventually resulting in lost efficiency and end-user satisfaction.

The network management services employing a technology provider mitigate the organization from torments of downtime or the availability of its IT staff. Here's a glance at four benefits that network management services provide the organizations.

1. Experienced Skills

Since the organizations are growing its IT foundations and adopting cloud computing, network management services is helping in employing the right individuals equipped with the required ability.

Network management services recruit, hire, just as train the network specialists to anticipate, analyze, and tackle issues on the organization's network. The enterprise can connect with profoundly skilled and experienced individuals straightforwardly by working together with a technology provider. It spares the organizations time and money without settling on the quality of the service and support. Read More

Technology Trends To Shape Future Healthcare

s technological advancements in healthcare evolve in the form of health tools, innovative health programs, analytic platforms and database systems, organizations willing to embrace these innovations are able to prosper in providing quality care and bringing productivity. 

Here are some health innovation trends that will impact the industry to resolve the industry related challenges and enhance care delivery.

Precision medicine: It is an emerging approach to treatment and prevention that takes into account individual variability in genes, environment, and lifestyle of each person. This will allow medical professionals to predict treatment and prevention strategies more accurately for particular diseases. This trend will greatly impact pharmaceutical research also. Precision medicine is anticipated to become more common in coming years, which is widely using in oncology already.

Know More: https://goo.gl/RwmtBU

Advanced Analytics Revamping the Healthcare Industry

Over the past few years, emerging technology trends like cloud, predictive analytics, big data analytics, and machine learning have been significantly transforming the healthcare landscape. 

The industry is leveraging advanced analytics to reshape the way care is delivered, identify gaps in quality documentation and assessment to produce insights that lead to better outcomes, address performance challenges, lower costs and build new Read More