In the world of electronic communications, nothing is familiar to a phone call. It may seem that with the progress of technology, everything has changed, but there are many issues from the last millennium that persists in the voice services, along with new challenges with the latest technologies.
Although a solution to the problems would be fantastic, the problem is that some of the concerns will remain with voice services for some time to come. The issues do not reflect any lack of technology but rather elements of human nature and interpersonal relationships.
Internet of Things (IoT) drives various manufacturing and supply chain processes in its first phase of implementation. Now is the time for the world to witness the second phase of the implementation where IoT will transform the conventional industrial processes. Other technologies like Artificial Intelligence, big data, and cloud with IoT will give impetus to the development of new robust technological frameworks that drive automation to new heights off-loading burden from human shoulders.
Digital marketing is deeply embedded in our daily lives as we spend most of our online. Organisations have extensively started using digital mediums for their marketing campaigns.
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Companies use various platforms like search engines, social media, emails, online shopping websites to connect with current as well as prospective customers for their marketing campaigns.
Drones today are not just limited to military surveillance or tech-savvy customers. There have been several advancements in drone technology over the last few years, and with each advancement, drone technology continues to improve in itself.
Small organizations leverage SDN for better visibility, security, and efficiency in the network.
Via Soviet Space (@soviet_space)
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
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 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.
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.
When the tension rises, unexpected things can happen – not least when it comes to gold atoms. Researchers from, among others, Chalmers University of Technology, Sweden, have now managed, for the first time, to make the surface of a gold object melt at room temperature.
Ludvig de Knoop, from Chalmers’ Department of Physics, placed a small piece of gold in an electron microscope. Observing it at the highest level of magnification and increasing the electric field step-by-step to extremely high levels, he was interested to see how it influenced the gold atoms.
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70 percent of digital transformation projects fail to reach their stated goals. This is often because these projects are built from bottom up. In order to successfully undergo digital transformation, there has to be a collaboration of minds that is led from the top and requires every member of the board to play a vital role in the process.
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The banking industry has seen huge innovations in recent years with the use of technology. To satisfy the demands of the customers, banks are looking for new ways to interact with them and provide better customer satisfaction. Blockchain technology is changing the process of banking along with the concept of game theory to meet customer needs.
Baking as a Service (Baas) is an innovative concept that takes the customer experience to a new level. It has no any restrictions like traditional banking. In today’s era, customers are in need of anywhere anytime transactions, beyond the regular working hours of the banks.
There is a need for open collaboration since customers are looking for a more open network and shared technologies. Collaboration and consolidation is the key to BaaS. This flexibility of the BaaS model will enable banks to integrate blockchain solutions to solve the issues in the banking sector.
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