Creating a Spark session is the first step when working with PySpark, as it allows you to interact with Spark’s core functionality. This article will walk you through the process of creating a Spark session in PySpark.
Tag: python
Python | How to execute Shell/Linux commands using python?
Python is a versatile programming language that not only excels in data analysis, web development, and scripting but also provides the ability to interact directly with the operating system. One of the powerful features of Python is its capability to execute shell or Linux commands directly from within a Python script. This functionality can be very useful for automating system tasks, managing files, or integrating Python with other tools. In this article, we’ll explore various methods for executing shell/Linux commands in Python.
Python | Convert .py file into .pyc file
Python, known for its simplicity and readability, allows developers to write code in .py files. These files contain the human-readable source code that is executed by the Python interpreter. However, Python also uses .pyc files, which contain the compiled bytecode. Converting .py files into .pyc format can enhance performance and provide basic code protection. This article will guide you through the process of converting .py files into .pyc files.
Python | Difference Between .py And .pyc Files?
Python is a versatile and powerful programming language that is widely used for various applications, from web development to data analysis. When working with Python, you’ll often encounter two types of files: .py and .pyc. Understanding the difference between these files and their purposes can help you better manage and optimize your Python projects. In this article, we’ll explore what .py and .pyc files are, their differences, and why .pyc files are used.
TCS NQT Coding Question-8: Possible Number of Ways
Problem Statement: An international conference will be held in India. Presidents from all over the world representing their respective countries will be attending the conference. The task is to find the number of ways possible(P) to make the N members sit around the circular table such that the president of India and prime minister of India will always sit next to each other.
TCS NQT Coding Question-7: Number of Red Curtains
Problem Statement: A manufacturing company is manufacturing a new collection of curtains. The curtains are of two colors Red(R) and black (B). The curtains color is represented as a string(string) consisting of R’s and B’s of length N.Then, they are packed (substring) into L number of curtains in each box.The box with the maximum number of ‘Red’ (R) color curtains is labeled. The task here is to find the number of ‘Red’ color curtains in the labeled box.
TCS NQT Coding Question-6: Calculate Price Of The Item
Problem Statement: A Mega mart maintains a pricing format for all its products. A value N(integral code) is printed on each product. When the scanner reads the value code on the item, the product of all the digits in the code is the price of the item. The task here is to design the software such that given the code of any item the price should be computed for that.
TCS NQT Coding Question-5: Count of Elements
Problem Statement: Given an integer array Arr of size S the task is to find the count of elements whose value is greater than all of its left-hand elements.
Python | How to read a csv file using pandas?
CSV (Comma-Separated Values) files are a popular format for storing tabular data, and Python’s Pandas library provides powerful tools for reading, manipulating, and analyzing such data. In this article, we’ll explore how to read CSV files using Pandas, covering different cases and options to efficiently load data into a pandas DataFrame.
Python | Introduction to numpy
NumPy, short for Numerical Python, is a open-source library in Python for numerical computation. It provides a powerful array object and a collection of functions for manipulating and processing arrays efficiently. NumPy is widely used in fields such as data science, machine learning, signal processing, and scientific computing. In this article, we’ll explore the basics of NumPy, its key features, and how it revolutionizes numerical computation in Python.