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Data analytics is the process of examining, cleaning, transforming, and modeling data to discover useful information, conclude, and support decision-making. It involves the use of various techniques and tools to analyze and interpret data, uncover patterns, trends, and insights, and derive meaningful conclusions. Data analytics is widely used in various industries and sectors to gain a competitive advantage, improve business processes, and make informed decisions.   A comprehensive course guide offered by  Data Analytics Training in Delhi or elsewhere typically covers a range of topics to equip individuals with the skills and knowledge needed to work in this field. Below is a suggested course guide for a comprehensive data analytics program: Introduction to Data Analytics: Overview of data analytics and its applications. Understanding the data lifecycle. Introduction to key concepts, terminology, and tools. Data Collection and Cleaning: Techniques for collecti

 Introduction:  In the ever-evolving landscape of technology, Python stands tall as one of the most versatile and widely used programming languages. As we step into the year 2023, developers and businesses alike must stay abreast of the latest trends shaping the Python development ecosystem. This article delves into the key Python development trends that cannot be ignored in 2023-24. Python 3 Adoption: Leaving Python 2 Behind -  While Python 2 was officially sunset in 2020, the migration to Python 3 is an ongoing process. In 2023-24, the community is expected to be fully committed to Python 3, ensuring enhanced security, performance, and access to the latest features. Developers should prioritize updating their codebases and libraries to remain in sync with the latest Python 3 releases. Rise of Microservices Architecture -  Microservices architecture continues to gain momentum as a preferred approach for building scalable and modular applications. Python, with frameworks like Flask an