Contact Us
×

Tag: learn python

Google, Spotify and Netflix – What’s common? They All Use Python As Their Programming Language!

Posted on by Imarticus Learning

Python is an open-source high-level programming language, which was first officially released in 1991. Ever since then, it has been powering many programs and helping programmers write and execute codes or scripts more rapidly than ever.

Google, Spotify, and Netflix – all have something in common, they all use Python as their fundamental programming language powering their services.

Python 3.0 came out in 2008 with many revisions and updates which followed this series. This was the programming language that everyone wanted and it had already established itself as one of the most preferred programming languages in the world.

Python is an interpreted programming language based on C. It was created by the Dutch programmer Guido van Rossum, who had made one of the most ultimate and appreciated contributions to computing or modern programming.

It would not be an overstatement if we would accredit Python training and the revered Dutch programmer to have helped humans as a race to advance even further due to Python having so many applications in a large number of necessary fields. Python powers a lot of the most important services, technology, machines, and industries that we depend on, and that have contributed to us getting more technologically advanced as a race.

Python programming courseHow Python is used in Google

Google has been working with Python since its early years. Python is extensively used by Google for a variety of tools which are used for code evaluation, system development, and system administration.

Traces of Python can be found in most of Google’s artificial intelligence and robotic projects which are assisted by machine learning and data analysis. Python is used on most of Google’s search algorithms and can even be seen on Youtube in areas like video administration, control templates, and viewing of the video.

How Python is used in Spotify

Python is used heavily in Spotify’s backend processes and in the company’s data analytics.

Spotify’s backend consists of various services which are interdependent and connected over ZeroMQ, an open-source framework for networking libraries, which is mostly written in Python with a bit of C++, Java or C. Python promotes speed during development and this is something Spotify truly emphasizes on. Spotify also uses Python frameworks to implement IO-bound services which are the preferred method of using data from the library to support recommendations and lists.

Spotify has been reported to be using Python along with data analytics to help provide listeners features or services such as ‘Discover’ and the Radio. 90% of Spotify’s map-reduce jobs are written using the help of Python, and Spotify reports that there are over 6000 Python processes being used by Spotify from their Hadoop cluster nodes.

How Python is used in Netflix

Python is used by Netflix in a manner that is quite similar to Spotify. Netflix uses Python to power its data analytics representing the server-side. Python is extensively used by Netflix to solve problems with the help of third-party libraries and the versatile nature of this interpreted programming language.

Netflix is very comfortable with using Python as it has an expressive and organized syntax with immense support from a huge number of developers. This allows Netflix to be very agile. There are many projects like Security Monkey and Central Alert Gateway which have been developed with Python.

Python has been used extensively in various services and systems of Google, Netflix, Spotify, and many other popular platforms like Facebook and Instagram. Applications of Python can be seen even in NASA.

Python is truly a versatile and highly recommended programming language preferred by many corporations and organizations due to its ease of use and open-source nature. It is the most highly used programming language in the world, powering a lot of important services and applications we use on a daily basis.

Python for beginners – What is Python And Why Is It Used?

Posted on by Imarticus Learning

Python for beginners – What is Python And Why Is It Used?

Python is arguably the most extensively used programming language in the world, which has so many applications and advantages. In this article, we will cover why Python is so popular and why it is used, even though there are multiple other programming languages, which are almost as versatile and powerful as this popular high-level language.

The Dutch programmer, Guido van Rossum started working on what would be later known as Python during the late 1980s. Python 2.0, the version that actually took off and made its place as one of the most important programming languages in computing history was later released in 2000 with multiple empowering features for programmers and developers.

Python 3.0 was released in 2008 with much better support and functions, which made this and the later revisions or versions of Python 3.0 the most popular and preferred installments of this interpreted language. 

Python is one of the most highly used languages due to it being quite friendly and easy to learn for amateur programmers and budding developers. Python can also be stated as one of the most accessible languages due to its simplified version of syntax and its simple approach through natural language.

Python for data science codes is easy to use and write, and future developers find it comfortable to learn this language. Hence, Python is extensively used in daily applications in various fields and it is executed rapidly as compared to other languages. 

What is Python?

Python is an open-source high-level programming language that was initially released as Python 0.9.0 in the year of 1991. Being created with the vision such that it is easy to read, it was truly a high-level interpreter language which was a blessing to computing and IT and could be used for all kinds of purposes. Python follows an object-focused process to assist coders to use simple and logical codes for various kinds of projects.

Python is highly appreciated due to its code readability and it allows developers to take a simple yet capable approach to work on various projects. Python is a truly high-level language as developers truly prefer Python and a huge variety of complex programs are written with the help of this popular programming language. Python is highly preferred in the fields of data science as it helps developers create data models and environments for processing and working with data or advanced analytics.

Why is Python used?

Python was written in C, which with the initial default implementation known as CPython. Python is an interpreted language and like how interpreters function, when a program is written with Python, the source code is converted into an intermediate language, which in turn converts the result into the native language of the system where the program will be run.

Interpreters are computer programs, which directly execute what is written with the help of programming languages. Interpreters like Python don’t require to be compiled into a machine language before being run or executed. Interpreted languages like Python fundamentally use a few processing models for running programs or scripts:

  • Python parses the source codes and performs its behavior without any indirect approach.
  • Python translates source codes into very effective intermediate language conversions, which assist in the immediate executions of scripts.
  • Python efficiently stores precompiled codes and scripts created by compilers inside interpreter systems. 

Python is preferred by budding developers and students due to it being extensively used in mainstream applications and development. It is open-source and is easy to learn, and thus, it is a great idea to invest some time and resources into this highly used programming language. It is highly in demand and individuals skilled in Python or having expertise in this interpreted language are always required by organizations and companies.

How Python Is Used in Hadoop?

Posted on by Imarticus Learning

Perks of using Python

A lot of unstructured data is produced each day, the companies and firms use big data and its applications to extract meaningful information from the raw data. A distributed file system is used for parallel processing of data and to enhance fault tolerance. The Hadoop ecosystem offers a Hadoop distributed file system (HDFS) which is widely used by companies and firms.

Hadoop is a database framework that allows users to process big data. While the Hadoop framework is originally written in java then why companies are willing to hire candidates fluent in python? Let us find out the importance of python in Hadoop in this article.

It is possible to write the codes for the Hadoop framework in python and it is compatible with the Hadoop distributed file system. All the analysis applications can be performed with the Hadoop framework coded in python. Python is easy to learn and use and yet is powerful in performing big data applications.

It has a big library of in-built functions which can be used as and when required. Python is a predictive language that has less syntax and semantic constraints as compared to other languages.

A lot less time is wasted in coding in Python due to its predictive nature and that’s why companies and firms are looking for candidates fluent in python, individuals who can solve big data problems with the help of python in a more efficient way. Python has a lot of remarkable applications such as Instagram, Google, Quora, etc. Facebook uses python with HDFS for data extraction and its parallel processing.

The libraries of python fit right in the slot for big data analytics. It makes coding convenient and fast. Users choose among various python frameworks available in the market for working with Hadoop such as Hadoop streaming API, Dumbo. Pydoop, etc.

These frameworks help to enable Hadoop with the help of python and using its services. Real-time computation can be done through python. Python has lists, tuples, dictionaries, etc. as data structures. These data structures can be used for high-end evaluation of big data.

The codes written in python are scalable and scalability is one of the main features of big data. Python is used a lot nowadays for application and web development. Python has an in-built mechanism and algorithm to deal with unstructured data and for doing the processing of that unstructured data. For example, NumPy is an in-built function in the python library that supports complex operations and scientific computing.

There are many other functions that support data analytics. When used in Hadoop, python increases efficiency and fault tolerance. Python boasts a strong user base throughout the world, there is an active community of people working on python which will help you by giving their approach to any particular problem.

A lot of research material and learning guide can be found on python as it is a globally used language. Big data and its applications are also being used by firms to enhance their business and predict trends and solutions. For this Hadoop training is being used and if we are getting such scalable language with an advanced library and is also easy to use, we are bound to use it!

Conclusion

So, each day new languages are coming but that doesn’t mean you have to learn them all. If you are working on the Hadoop platform then python is by far the most suited language for it. You can code much faster in python as compared to other programming languages and also with the chance of getting fewer errors and warnings due to its interactive and predictive nature. Hadoop and python have shown a lot of compatibility in big data use cases across the globe by firms and companies. This article highlights the importance of python in Hadoop.

Introduction To Python Set and Frozen-set Methods

Posted on by Imarticus Learning

Introduction To Python Set and Frozen-set Methods

Python is a widely-used programming language. No doubt that learning Python will bring you better job prospects. The advantage of Python is that it is generally smaller than other languages like Java. As a programmer, you will need to type only fewer indentations, which makes them highly readable highly. Many global market leaders like Google, Facebook, Amazon, Instagram, etc. are using Python. Learning Python will help you find a career in machine learning as well. A program widely used in GUI applications, image processing, multimedia, text processing and many more, Learning Python is highly advisable if you are looking at a career in IT.

Sets in Python

Sets in Python represent a collection of data. This unordered collection is mutable and iterable. It doesn’t have duplicate elements. The Python set is similar to the mathematical set. Using a set is recommended over a list because the set has several advantages. Based on the hash table, it is very easy to check if a particular element is included in the set. This is not possible if you use a list.

Properties of a Python set()

There are no parameters to create an empty set. If you create a dictionary using a set, the values will not remain after conversion. However, the keys will remain.

Sets have many methods:

  1. Method of addition (x): This method is used to add one or more items to a set if currently it is not included in the set.
  2. Method of union (s): This method is used to unite two sets. The operator use is ‘|’, which is similar to set1.union(set2)
  3. Method of intersection (s): This method is used for the intersection between two sets. You can also use the ‘&’ sign as the operator here.
  4. Method of difference (s): This method is used to return a set that contains replicates the elements present in the invoking set, but not present in the second set. The operator used here is ‘-‘.
  5. Method of the clear set (): This method is used to empty the whole set.

Operators for sets and frozen sets

Operator Function
key in s containment check
key not in s non-containment check
s1 == s2 s1 is equal to s2
s1 != s2  S1 is not equal to s2
s1 <= s2 s1is subset of s2
s1 < s2 s1 is a proper subset of s2
s1 >= s2 s1is superset of s2
s1 > s2 s1 is a proper superset of s2
s1 | s2 the union of s1 and s2
s1 & s2 the intersection of s1 and s2
s1 – s2 the set of elements in s1 but not s2
s1 ˆ s2 the set of elements in precisely one of s1 or s2

Frozen sets

Frozen sets, unlike the set, are immutable. Once created, the frozen set remains the same. It cannot be changed. This is the reason we use a frozen set as a key in Dictionary. It accepts an iterable object as its input and makes them unchangeable. However, it is not guaranteed that the order of the element will be preserved. In a frozenset, if no parameters are passed to the () function, an empty frozen set is returned. If you change the frozenset object by mistake, you will get an error saying that the item assignment is not supported by frozenset object.

Conclusion

Equivalent to the data set in mathematics, Python set is a data structure similar to the mathematical sets. It consists of several elements, but the order in which the elements should be deployed in the set is undefined.  You can perform addition, deletion, iterate, union, intersection, and differences on the sets.

5 Top Reasons to Learn Python

Posted on by Imarticus Learning

One should have a good grasp of technology, as its uses and advantages have seeped in almost all spheres of professional setups. If you are working in the field of IT, programmer to be specific, a quick way to upgrade your resume would be to learn Python. Python is considered to be the most commonly used programming languages. Hence for a programmer who is on the brink of embarking his career should learn Python.
So if you are considering learning to code, and be updated and efficient with your skills in the world of programming. Then further read on to understand five undisputable reasons you should learn Python.

Quick and Fast

Python is definitely an easy language to learn, to be true the language was designed keeping this feature in mind. For a beginner, the biggest advantage is that the codes are approximately 3-5 times shorter in Python than in any other programming language. Python is also very easy to read, almost like reading the English language, hence it becomes effective yet uncomplicated in its application.
The dual advantage is that a beginner will not only pick up faster but, will also be able to code complex programmes in a shorter amount of time. And an experienced programmer will increase productivity.

Big Corporates use Python

Python is one of the most favourite languages used at Google, and they are ever hiring experts. Yahoo, IBM, Nokia, Disney, NASA all rely on Python. They are always in search of Python web developers, and a point to note is that they are big pay masters. Hence learning Python equals to big Pay cheques.

Python for Machine Learning and Artificial Intelligence

The biggest USP of Python is that it is easy to use, flexible and fast, hence it is the preferred language choice. And especially so in computer science research. Through Python, one can perform complex calculation with a simple ‘import’ statement, followed by a function call, thanks to Python’s numerical computation engines. With time Python has become the most liked language for Machine Learning.

Python is Open Source and comes with an exciting Ecosystem

Python has been there for almost 20 years or so, running across platforms as an open source. With Python, you will get codes for, Linux, windows and MacOS. There is also a number of resources that get developed for Python that keeps getting updated. It also has a standard library with in-built functionality.

Nothing is Impossible with Python

And if the above reasons are not convincing, perhaps the best reason to learn Python, is that irrespective of what your career goals are you can do anything. Since it is easy and quick to learn, with it, you can adapt to any other language or more importantly environment. Be it web development, big data, mathematical computing, finance, trading, game development or even cyber security, you can use Python to get involved.
Python is not some kind of a niche language, and neither is it a small time scripting language, but major applications like YouTube or Dropbox are written in Python. The opportunities are great, so learn the language and get started.

References:

Python Coding Tips For Beginners

Top Resources To Learn Python Online In 2022

Top Resources To Learn Python

It is Useful To Learn Python Language For Big Data