This Week's Top Stories About python course london

[Natashia Bryant]

Ever wondered what technology really is and how many forms it can take. In fact, this article cites some examples of technology so that you get a concrete idea.

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Here they are:

1. Programming Languages

Programming languages for instance Java, C, C++, C# and others help with coding in order to build software products which are in turn purchased by clients or other relevant companies for instance, for maintaining their IT assets.

Software products also come into the picture in the form of backend connected with front end where you get to input data and retrieve information from the relevant database. SQL or standard query language is the one we use for querying information but it is embedded in the system so that you do not have to do any hard work other than call up data from the backend to the front end interface on user input and/or button clicks.

As another instance, we can use notepads to store formatted information and apply data mining algorithms on these data to find some patterns which tell for example, whether the profit from last year in a shopping complex is more or less than that of this year and make a comparison and try to find patterns in customers' preferences in purchasing stuff.

2. Electronic Gadgets

Apart from software, technology is more popular in the build up of electronic gadgets for example, smart phone, iPAD, TAB, iPOD and the list goes on. It is up to you to find out which is convenient for you and accordingly purchase it.

3. Means of Communication

In order to make our lives easier, almost everywhere in the world we can travel in buses, trains and airplanes which with time have become more luxurious, modernized and comfortable. We are also able to own cars and other vehicles of our own choice and they give us more security nowadays.

4. Books, eBooks and audio books

In this modern day, writing and publishing books have become so much easier that anybody who knows or trains himself how to write books in any niche or field of interest can finally publish and sell them on Amazon.

Following and abiding by the rules of Amazon, your book can be a bestseller and you feel encouraged to write more books. As you earn more fame, you can actually quit your day job and resort to selling books, by writing and publishing first.

EBooks, other than books in print, and audio books are also popular and you can create and sell them also.

Summing up, these four forms are bright examples of technology and it is up to you how you can take advantage of them.

People are frequently hearing the word data science, machine learning and artificial intelligence but they don't have much knowledge about these terms. Data science is a new technology which uses data in an effective manner. It is a technology in python course uk which raw data is collected and processed. It is becoming the new strategy for business executives to run their business productively. So, basically it is a technology in which raw data is collected and the collected data is processed in an effective manner. Processing of data is very important. Not all the data we collect is useful. By processing data, we mean useful data that is extracted from the collected data and then used in such a manner that it gives an effective output.

It is a boon to the industry. It is important because indirectly or directly, we do work in our daily life by exchanging data. For example--> People are purchasing things online and doing online transactions for which they need to enter their bank details (collecting data) and then, after some steps, they are done with their payments (processing data and getting output). It is needed because nowadays, and in future as well, all our daily work would be dependent on data and it is a technology which uses our data effectually and gives the desired output. This would be clearer when we talk about applications of data science.

After catching on what is data science and why we need it, we are coming to the requirements of data science. If we talk technically, the programming language which the data science use is python. Python is an object-oriented programming language. It is one of the topmost programming languages in the present time. Python doesn't use data types. The code of python language is like the simple sentences we write in English. It doesn't need to follow any syntax like other programming languages. These are some properties or advantages of the python language which makes it user friendly. People who are willing to work in this field should learn python.

It has a very great future. As I said, technologies are changing day by day and people are becoming used to them. Technologies are getting advanced and the industry would require more skilled persons to maintain them. Advanced technologies are mainly based on artificial intelligence, data science, machine learning and many more. For example--> lights turn on automatically when the person enters the home, and turned off when they exit. Technologies are becoming more data dependent. So, itis a very nice option for the people who want to make their career in the technical industry.

APPLICATIONS OF DATA SCIENCE

Below are some applications which would better clarify the significance of the technology.