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Python Comments Tutorial | Types of Python Comments

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The ability to comment on the source code appears in all programming languages. A comment is a non-executable line of text, this means that the compiler or interpreter  will not take it as a line of code. the comments. In Python, as well as in other programming languages, they serve to leave small explanations about what the program does. We know that it is very difficult to remember every aspect of our program, especially when we work on long and complicated projects. Python, being a simple language in syntax issues , helps us to properly document our code without much effort. This is a necessary practice and good developers will make great use of comments. Without this, the source code can get confusing really fast. Types of Python Comments : In Python make comments in two ways. Writing the numeral symbol (#) at the beginning of the line of text where we want our comment. By typing triple quotation marks (') at the beginning and end of the comment , in this case the c...

Python Variables Tutorial With Examples

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Python is an interpreted artificial language of dynamic typing whose philosophy emphasizes a syntax that favors readable code. It's a multiparadigm artificial language and available on several platforms.  Python contains a large number of libraries, data types and functions incorporated in the language itself, which help to perform many common tasks without having to program them from scratch. But what really makes it brilliant using it on a Raspberry Pi, is the  ability to use GPIO pins to connect the physical world with the digital world . Variables in Python Programming: A variable is a site where we store certain information. Depending on the type of information we store (text, numbers, Boolean, etc.), the variable will be of one type or another. For simplicity we will only see the text and numerical variables, since they are the ones that are used in more than 80% of the occasions. Each variable has to have a name with which to refer to it. Python ta...

How to Install Python on Windows

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How to Install Python on Windows? The process of installing Python on a Windows system follows the same procedure that is used for other types of applications. The main difference is to find the downloaded file so you can begin the installation process. The following procedure should work fine on any Windows system, if the 32-bit or 64-bit version of Python is used. Find the downloaded copy of Python on your system. The name of this file varies, but it usually appears as python-3.3.4.msi for 32-bit systems and python-3.3.4.amd64.msi for 64-bit systems. The version number is incorporated as part of the file name. In this case, the file name refers to version 3.3.4. Double click on the installation file. You may see an open file - Security Warning dialog box asking if you want to run this file. Click Run if you see this pop-up dialog box. You will see a Python Settings dialog box. The exact dialog you see depends on the version of the Python installation program downloa...

Binomial Probability Distribution Tutorial

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In statistics , the binomial distribution is a discrete probability distribution that indicates the number of successes when performing a sequence of n independent trials with each other, with a fixed probability (p) of success occurring between those trials. The binomial distribution is one of the theoretical probability distribution models that is used when the discrete random variable is the number of successes in a sample composed of n observations. It is one of the most useful probability distributions used in quality control, production, research, etc. Binomial Distribution in Data Science : The Binomial Distribution is related to the Bernoulli distribution which is a random variable distribution X that takes only values ​​of zero and one (success and failure), when a single experiment is performed. The binomial distribution is applied when a "n" number of times the Bernoulli experiment is performed, each trial being independent of the previous one. The var...

Python Inheritance Tutorial | Inheritance In Python with Examples

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What is Inheritance in Python? Inheritance is the ability of one class to inherit the attributes and methods of another, something that allows us to reuse code and make programming much more optimal. It is a powerful feature in object-oriented programming. To see its usefulness, in this lesson we will develop an example. We will start from a class without inheritance with many attributes and we will break it down into other simpler classes that allow us to work better with your data. Python inheritance syntax class BaseClass: Base class body class Derived Class (Base Class): Derived class body The derived class inherits characteristics of the base class, adding new features. This results in code reuse. Inheritance in Python with Example Many years ago I found myself in need of designing a structure for a store that sold three types of products: ornaments, food and books. All products in the store had a series of common attributes, such as reference, name,...

Python Programming Language Introduction - How to learn Python for Beginners?

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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...

Data Science Tutorial for Beginners | How to Become Data Scientist

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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 ...

5 Things You Get To Know Before Learning Python Programming

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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...

How Hadoop Training In Bangalore can Change Your Career?

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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 challenges and its opportunities

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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.  ...

Interesting Facts About Python Programming Language

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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...

Future scope of Data Science in India

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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 an...

How to learn Big Data from scratch?

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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 position...

A Real-time Example of Data Science for Beginners to understand in a better way

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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 ...