Python Skills for Bangalore in 2020

Python Skills for Bangalore in 2020

Python is one of the easiest and user-friendly programming languages when it comes to the field of software engineering. The codes and syntaxes of python are so simple and easy to use that it can be deployed in any problem-solving challenges. The...

Python is one of the easiest and user-friendly programming languages when it comes to the field of software engineering. The codes and syntaxes of python are so simple and easy to use that it can be deployed in any problem-solving challenges. The codes of Python can easily be deployed in Data Science and Machine Learning. Due to this ease of deployment and easier syntaxes, this platform has a lot of real-world problem-solving applications. According to the sources the companies are eagerly hunting for the professionals with python skills along with SQL. An average python developer in the United States makes around 1 lakh U.S Dollars per annum. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Data Science and Python Programming has surpassed over the past few years. As a result of which a lot of various python online training are available right now. The skills of python programming can be applied further to data science, deep learning and machine learning to create algorithms that can solve real-world challenges. As a result of which there is a lot of python tutorial to learn from and implement the strategies.

Python has massive libraries and can be extensively used for data manipulation because of its open source software feature. Therefore it provides a great approach to object oriented programming. The main use of python in data science is for crunching data, data visualization and weather forecast in companies like Forecast watch analysis. Use of Python in each stage of Data Science and Data Analysis: 1 In the first stage the main application of data science is for understanding the type of data one needs to work upon. This stage consumes a lot of energy and time therefore the kind of python libraries used here to do the pararell processing are Pandas and NumPy. 2 While in the second stage the main function is to do the data scrapping by shortlisting the data according to the requirement. 3 In the third stage we need to get the graphical representation of the shortlisted data by means of python libraries like Matplotlib and Seaborn. 4 The next step involves the process of machine learning and complex computational mathematics like calculus, probability and matrices over lakhs of rows and coloumns.

Exception handling in Python

Exception handling in python is basically a technique to resolve the run time errors.

In Python, exceptions can be handled by two new methods:

  1. Try: Catches exceptions raised by Python or a program
  2. Raise: A custom exception which triggers an exception manual To read more about exception handling in python:

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