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.
Tag: python
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.
Python | Introduction to pandas
Pandas is an open-source data manipulation and analysis library for Python. It provides easy-to-use data structures and functions to efficiently manipulate structured data, making it an essential tool for data scientists, analysts, and developers alike. In this article, we’ll provide a comprehensive introduction to Pandas, covering its key features, data structures, and basic operations, along with practical examples to get you started on your data analysis journey.
Python | map() function
Introduction: The map() is a type of higer order function which is used to apply a given function to each item of an iterable (such as a list, tuple, or set) and returns an iterator that yields the results. In this article, we’ll explore the concept of map() function in Python, explore its syntax, usage, and provide practical examples to illustrate its functionality.