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Python Programming Language Introduction Python is one of the most used programming languages ​​because it is a high-level programming language and is Open Source. Since the last years, these programming languages have done nothing but grows and grow to gain followers worldwide and that is that today you can program almost anything in this language. Python supports: Object-oriented programming Imperative and functional programming. Python has a dynamic system, automatic memory management , and a good standard library. Like other dynamic programming languages, Python is often used as a scripting language, but it is also used in a wide range of non-script contexts. Using tools developed by third parties such as Py2exe, cx_Freeze or Pyinstaller, Python code can be reduced to independent executable programs. There are Python interpreters for many different operating systems. Python Programming Scope of Python Programming Language Programming in Python i

Are you looking forward to becoming a professional Data scientist? The below Data Science Tutorial for Beginners provides technical and soft skills require to become a good Data Scientist. Technical skills Capability to prepare efficient codes: The data scientist needs to have knowledge of programming languages ​​such as Python, Perl, C / C ++, SQL and Java. Python is a very versatile language in many fields of  information technology . The programming language helps you to filter, clean, structure and organize all the data since these are shown as unstructured sets. The capability of analyzing tools in self: Knowledge of analytical tools Such as SAS, Hadoop, Spark, Hive, Pig. These tools will help you extract information and start modulating in business statistical analysis. It allows an in-depth analysis based on a multitude of parameters and using statistical formulas. Certification as a data scientist in a  Data Science training institute in Bangalore  gives you th

Python is one of the best programming languages ​​you can learn to boost your career. Many of the world's most famous websites use Python, and there are many jobs you can get by knowing Python. But what do you have to know BEFORE you start? With more then seven years of experience teaching Python, Python training institute in Bangalore have noticed these things that all Python students should know before they start. 1. Learn the difference between frontend and backend Frontend vs.backend : what's the difference? Controlling two types of web development may seem complicated, but in reality, it is quite simple.   When you enter a web page, the frontend is what you see. It's the text on the page, the images, and the links: all this is the frontend. The frontend consists of three languages: HTML, CSS, and JavaScript. That's! Unlike the frontend, the backend code is what is behind the curtains. It is what you do not see. The backend code tells the w

Big data Hadoop The Big data hadoop is for a person new to and inexperienced programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no preparatory experience. This hadoop and Spark frameworks two of the most common in the industry. In the process of learning you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve basal problems in big data. You’ll feel empowered after taking Hadoop training in BTM Layout . One of the most common tasks of data scientists and data analysts is forecasting and machine learning. You should know basic foundations in concepts such as training and testing sets, over fitting and error rates. In this module will also introduce a set of model-based and algorithmic machine learning methods including regression, classification trees, Naive Bayes and random forests. It covers the entire process of building predictive functions,

Big Data is an increasingly essential tool for businesses, but its use is not without its challenges. According to  Big Data training institute in Bangalore , we summarize the top 3 challenges of Big Data in companies must address when implementing a big data solution are: 1.  Selection and prioritization One of the advantages of Big Data is that it can provide numerous analyzes of available information. The fact is, users don't need big data itself, but the new perspectives that this technology can offer on their business information. Therefore, one of the main challenges for users is to select those that are really important and separate them from those that are not. This task is not simple, as according to several studies up to 90% of the data is “noise”, and the task of classifying and discriminating can be very complex. To this end, it is essential to understand the data in-depth and thus to be able to set priorities. Big Data Challenges 2.  Security a

There are many interesting things about the Python programming language that you may not know and that you should know. Some of them are interesting, while others are somewhat curious. Anyway, here Python training in Bangalore presents 10 facts about Python Programming language. Who is the creator of Python? Guido Van Rossum is the name of the creator of Python. He created it at the end of the 80s, being at that time one of the most efficient and innovative languages. Why does Python have that name? According to the creator of Python, this programming language is named after the British series broadcast in the 70s called Monty Python's Flying Circus. This comedy gave him a way of entertainment when creating Python and that's why he chose that name. Python is the third most used programming language If you wonder what are the most used programming languages , you will find Python in third place behind Java and JavaScript . That's a good thing, s

New technologies have improved our ability to collect a large amount of data, it is difficult to manipulate and make sense of all that data. Organizations need someone to analyze it to help make better decisions. This is called data scientists or scientific data. The data scientist can focus on various functions such as data analysis and  visualization . A data scientist is a person who uses the tools provided by  statistics and programming  to make sense of a huge amount of data (data analysis). The results obtained by the processing of the data are extremely important for the day-to-day development of many companies. The ability to analyze this data helps the professional to find answers to existing key problems, or find new questions and dimensions that could not have been reached without studying them. Future scope of Data Science According to Data Science training in Bangalore , data science is now one of the most important decision-making tools of any company. Thi

The companies engaged in recruitment are clear: studying Big Data ensures access to the labor market for young people, and not so much, with salaries above average. Without a doubt, this is one of the booming professions and there are many sectors that seek specialists in Big Data. The first step to getting a position as an expert in the field is to study a specialization in Big Data that allows you to know the most important concepts in the world of data. Study Big Data to enter a booming sector    We talked earlier that the Big Data specialist is already and will continue to be one of the professional profiles most demanded by companies. But we can also consider other multiple reasons. The global vision for decision making. The professionals in this field acquire skills that allow him to see together. Knowing how to face new challenges, such as entering a sector that is still underdeveloped. An attractive curriculum for companies, beyond the specific positions of data

When we talk about science data , data mining and artificial intelligence only assimilate which is one of the technologies that are changing our lives without seeing in practice how this happens. It is quite complex to find information on the application of this technology to our day to day. At present, not using all the technological advantages that exist is going a step back in a highly competitive world, a world that is constantly advancing and above all that most processes are moving from outdated systems, obsolete to the efficiency and speed that you They offer the most innovative tools of our time. Data science is used in different industries in today's world. In marketing it is not only about owning the information, but also about interpreting it and knowing how to connect it with the preferences of the clients to create an identification with the brand. There are other cases where this technology is used as in the creation of inventories so as not to have unnecessary

Learning Hadoop is undoubtedly getting into big data. It cannot be denied that there are alternatives to Hadoop for Big Data processing. There were long before Hadoop revolutionized the big data landscape with its effective solution at a low cost. However, they were tremendously expensive and their use was limited to some large companies. When it comes to starting in Big Data it is important to keep in mind that Hadoop is a billion-dollar market, with exponential growth due to its comparative advantages. Undoubtedly, talking about Big Data is talking about Hadoop. Even so, following the thread of our approach, the existence of alternatives makes them a possible option. A key factor in deciding are the  scalability  and low cost of implementing a Hadoop cluster. Thus, it will be a good idea to start taking advantage of Big Data using Hadoop as a centralized data repository that increases its processing capacity and at the same time reduces storage costs. Taking advantage

Anyone knows how difficult it is to give a solid explanation of the process of a project on Data Science . There is a lot of information on the internet and various courses that offer you a clear picture. Have you really understood everything about it? Building a Data Science project from scratch is a great job where you need several tools. It faces the problems of the process in order to find deeper information. I continued reading this article by Data Science training institute in Bangalore on the steps to follow in Data Science projects . The OSEMN model encompasses an acronym where each letter touches a Data Science procedure . This list of tasks should be familiar to you as a data scientist. However, it is understandable that you fail to reach an expert level due to its complexity and depth. OSEMN is a model to treat data problems using machine learning tools. Several authors point out that data hacking works with the letter O and S, while machine learning with E and M. Data S