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E-Commerce Trends That Can Level up Your Business Tactics

Every industry witnesses the change in trend and which is kind of necessary to keep the business relevant. Therefore, to establish a plan for the future, one must look back at what they have done with their business. 

What’s trending today may certainly befall the upcoming year; eCommerce business is large and is continuously evolving. Therefore, keep reading to learn about.

Full Read:  E-commerce for Business

Water with Hydrophobic Aerogel powder. 

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.

FB Tech Review is the only one of its kind, knowledge platform that brings to its audience insider information from the food and beverages technology space. With our unique peer-to-peer learning approach, we connect elements from the different ends of the spectrum.

Chateau de Hautefort

Kubernetes Acquires Heptio to Provide a Containerized Kubernetes Distribution System

Kubernetes is the fastest growing software infrastructure platform in the IT industry today. Heptio focused on creating an upstream Kubernetes distribution instead of creating another sanctioned Kubernetes distribution. Heptio expertise in building tools to validate an on-premise customer’s Kubernetes environment. The decision to acquire Heptio comes as the VMware’s effort to extend its reach into clusters based on kubernetes.

Keep Reading

IoT, Big Data, and Blockchain: A Combination to Achieve Maximum Business Efficiency

Big data, Internet of Things (IoT) and blockchain are witnessing a radical growth in their functions and practices as technologies advance. Simultaneously, innovations in electronics and wireless communication technologies have contributed excessive benefits to these platforms.

These developments have resulted in various advancements in the number of suitable electronic devices in many industries as well as reduced costs in the manufacturing process of these devices.

The merging of big data, IoT, and blockchain into a single system provides effective and secure predictive analytics. On the other hand, this combination will provide more benefits in each of their functions and practices, by giving assistance and support to each other.

Read More: Maximum Business Efficiency by combining  IoT, Big Data, and Blockchain

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Small Businesses Help Us Explore Space!

Earlier this month, Congress introduced a resolution officially recognizing Nov. 24, 2018 as Small Business Saturday “to increase awareness of the value of locally owned small businesses and the impact of locally owned small businesses on the economy of the United States.”

This annual American Express campaign began on the Saturday after Thanksgiving in 2010 to support “local places that make our communities strong.”

For 60 years, we have supported and partnered with small businesses across the country to pioneer the future of space exploration, scientific discovery and aeronautics research.

Our Small Business Innovative Research (SBIR) and Small Business Technology Transfer (STTR) program funds the research, development and demonstration of innovative technologies that help address space exploration challenges and have significant potential for commercialization. In 2018, our program awarded 555 contracts to small businesses for a total of $180.1 million.

NASA works with small business Nanocomp Technologies Inc. of Merrimack, New Hampshire, to advance manufacturing of carbon nanotube composite materials.

Our investments in small businesses help equip future missions to the Moon, Mars and beyond by advancing our science and technology capabilities. They also benefit the U.S. economy. The SBIR/STTR program’s 2017 Economic Impact Report indicated a $2.74 return for every dollar spent on awards—money well spent!

Small businesses also contribute to scientific advances for the International Space Station as well as here on Earth. Pancopia, Inc. in Hampton, Virginia, developed an innovative, high-performance water recycling system to remove high levels of organic carbon and nitrogen in wastewater. Recycling water in space saves money on resupply and enables more Earth-independence and self-reliance. With the help of an SBIR award, Pancopia is also working on a similar system for public wastewater that has the potential to cut treatment expenses to less than half the current costs.

Small businesses also contribute to scientific advances for the International Space Station as well as here on Earth. Pancopia, Inc. in Hampton, Virginia, developed an innovative, high-performance water recycling system to remove high levels of organic carbon and nitrogen in wastewater. Recycling water in space saves money on resupply and enables more Earth-independence and self-reliance. With the help of an SBIR award, Pancopia is also working on a similar system for public wastewater that has the potential to cut treatment expenses to less than half the current costs.

When NASA went to the private sector to develop deformable mirror technology—a key component of starlight-blocking instruments—a small business in Berkeley, California, applied for research and development funding through SBIR to design extra-precision, segmented mirrors. This innovative approach for a small deformable mirror made up of many tiny hexagonal segments enables advanced control when paired with other optics.

Data collected by a telescope using the Iris AO deformable mirror can be used to determine if the target investigated in space is an exoplanet based on its orbit, and if the exoplanet has atmosphere using color spectrum imaging analysis. The Iris AO technology is currently being refined and prepared for inclusion in a future exoplanet mission.

Does your small business have a big idea? Your next opportunity to join our SBIR/STTR program starts on Jan. 7, 2019, when our next solicitation opens. We’ll be seeking new innovative ideas from small businesses and research institutions for research, development and demonstration of innovative technologies. Go to https://www.nasa.sbir.gov/ to learn more.

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