Data is the fuel of the new era. Since every industry in the world is driven by data, it is integral that every company has enough personnel to approach the data in a multidisciplinary way. Be it statistical, graphical or mathematical, the aim is to analyse and manage data so that companies can take important financial and managerial decisions.
To process raw data and transform into useful set of data, we need an efficient programming language that has the capability to handle large volume of data. That’s where python comes in. Python is well-known for its versatility and features a wide range of advanced functionalities. It has become a key skill that employers consider at the time of short-listing a resume during the selection process of a data scientist position. Python has its own dedicated library for data analysis and its built-in features makes it the preferred option of data scientist all around the world.
Data science by definition is the field that uses scientific data, algorithm, processes and systems to extract knowledge and insights from unstructured noisy data. One of the most versatile tools we can use to denoise and structure the above said data is python. Python is the most popular among the programming languages that are used for data analysis.
Python has a lot of integrated libraries for us to use. Libraries are modules of prewritten code which makes it easier for us to do simple tasks. The said libraries allows us to integrate multiple sections of code to make working on them easier. For example, it is a troublesome task to write some kind of code from scratch. Libraries in python like pandas, NumPy, matplotlib makes data cleaning, data analysis, data visualisation easier. The most popular libraries used in python for data science and machine learning applications are
The steps for starting python for data science is similar to any other process there is. It’s a step-by-step approach where every step is important.
The average react developer salary in India is Rs. 975,000 per year. Entry-level positions start at Rs. 600,000 per year, while most experienced workers can make up-to Rs. 1,800,000 per year
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Learn Python. Enroll now Which programming language you should learn and why? Gone are the days when we heard about the growing popularity of programming languages such as Java, C, C++, and C#. Even though these are still relevant, with the changing times emerging technologies such as Artificial Int...