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Tag: Python Programming Training

Why Should You Learn Python For Data Analytics and Artificial Intelligence?

Posted on by Imarticus Learning

2022 has seen a huge increase in both the number of data science applicants and also future aspirants all around the world. In India alone, LinkedIn, the global job search leader, announced a 25% spike in data science professionals as compared to 2021, and that is a huge number by a number of standards.

But one of the most common questions that ponders the mind of data science aspirants most often is why they should learn Python to get an edge in this profession?

Thus if you are planning for a career in data analytics and artificial intelligence in the future, and too have this question in your mind, in this article, we will answer exactly that.

Let’s get started.

Why Is Python Important for Data Science?

At the present moment, there are more than 35 different programming languages that are actively used by developers and coders all around the world. But among all of these, Python is undeniably one of the most versatile and well equipped, especially in the field of data science.

The reason behind this is simple; if you take a look at some of the most common tasks that are executed by a data scientist on an everyday basis, starting from data extraction and ELT (Extraction, Loading, and Transformation) all of them require a solid knowledge of Python coding and operation.

Along with this, another important reason why Python is so often relied upon as the go-to programming language for data science professionals is the fact that it comes with a suite of different packages, starting from SciPy, NumPy and pandas, which make complicated and time-consuming tasks easier, more efficient and effortless.

For instance, Matplotlib, which is one of the leading Python packages, is often used by data science professionals when they want to include visualizations or any sort of graphics in their simulations.

If all of this is not enough good reason, as to why you should learn Python

Learn Python ProgrammingTo get an edge for your career in artificial intelligence, here are some of the biggest advantages of the standalone programming language in itself.

Advantages of Python

Easy to Learn

If you are a beginner at coding and you are looking for a programming language that is easy and fast to learn, then Python should be your choice.

The programming language has been around since the late 1980s and has thus undergone several developments and improvements in the last couple of years, which has made the current version extremely user and beginner friendly to learn and execute.

Since data science is such a fast-paced career, where developments are literally happening overnight, the need for a language that is easy and fast to learn is a no-brainer, thus making Python one of the most obvious choices.

Scalable

When you would have spent a considerable amount of time coding, one of the first things you will realize is the fact that Python as a programming language is immensely scalable. Compared to programming languages like Matlab and Stata, which are industry leaders in their own might, Python makes it very simple and straightforward for anyone to scale. The language comes inbuilt with a suite of features that allows you to have multiple approaches and perspectives to solve the same problem, along with having a wide range of flexibility to try out new things as and when they are developed.

Learn Python ProgrammingThe scalability aspect of Python is the second reason why companies prefer their data science professionals to know Python. Scalability is immensely important in both data science and artificial intelligence, mainly because of the fact that new discoveries are being made on the regular.

Conclusion

Thus, if you want to give your career in data science an edge, now is the time to start enrolling for an Artificial Intelligence Training that comes packed with a course in Python.

We offer analytics and artificial intelligence courses at our centers in Mumbai, Thane, Pune, Jaipur, Delhi, Gurgaon and Bangalore.

Python Developer Salary in Terms of Job Roles

Posted on by Imarticus Learning

What is Python?

The second most liked Programming language in the world, Python is one of the widely used term in the web-development world.

Who are Python Developers?

The web-developers who design and code the software applications with the help of Python language are referred to as Python Developers.

Roles and responsibilities of Python Developers

 Python Developers as Data Scientists

Major businesses in today’s world require tools and skilled people for the data-related tasks such as data collection, data cleaning and processing.

Python Programming Course with Data ScienceData Scientists are the programmers who do these tasks for the organizations. Data Scientists gather a large quantity of data and convert it into a useful form, followed by recognizing data-analytics solutions for organizational growth.

Data Scientists encourage the data-driven approach in organizations to deal with complex business problems.

 Artificial Intelligence

In AI Python Developers create and implement the required Machine Language algorithms. They analyze the success and failure of the algorithm and rank them according to their performance for future use. Training and Retraining ML algorithms is one of the key tasks performed by Python Developers.

Salaries of Python Developers in India

The changing focus of the organizations on data-driven solutions is resulting in a manifold increase in the salaries of the Python Developers. In the coming years the demand for AI-skilled people will increase, and hence the salaries.

Major IT giants like Google, YouTube, Amazon etc. are adopting Python-driven systems and hence, manifold increases in the salaries of the Python Developers.

Python Programming Course with Data scienceThe entry level salary of a Data Scientist is approximately INR 500,000 per annum (Source: payscale.com) Data scientists with 5-9 years of work experience gets +100% more salary in India. With the experience and refinement of the skill, the salary of Data scientists shows exponential growth.

 An entry-level engineer who develops the ML Algorithms earns the average salary of approximately INR 700,000 annually. With further experience and refinement of the skills, the average salary of the Data Scientist shows exponential growth.

Factors affecting the Salaries of Python Developers

Job location: Considering the increasing demand of Python Developers, not only in India, the faster salary growth is visible in UK and in US.

Location

 Approximate Average Salary in INR

Gurgaon

 700,717

Bangalore

669,787

Delhi

600,000

Mumbai

579,728

Chennai

540,131

Hyderabad

 475,000

UK Python Developer annual salary

£67,000

US Python Developer annual salary

 $117,000

Experience:

Python Developer

Approximate Salaries in INR

Entry Level Python Developer

427,293

Med-Level Python Developer

 909,818

Experienced Python Developer

 1,150,000

Refined Skills:

Mere understanding of the Python is of no use, till is integrated with the problems and solutions. How one uses the well-known Python tools define the person’s skill set, which is a determiner of the salary.

Job Role:

Python Developer

Approximate Average Salary in INR

Data Scientists

700,000

ML Engineer

 670,000

DevOps Engineer

660,000

Software Engineer

500,000

Web Developer

 300,000

 

Python Programming Course with Data ScienceShould know more interesting things about Python programming training and Python career.

 

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.