DataBricks is a cloud-based data engineering platform that allows you to collaborate with other data scientists, analysts, and engineers to build and deploy data-driven applications. In this article, we will guide you through the process of creating a free account on DataBricks for the community edition. Community Edition is a limited Databricks environment for personal use and training.
Apache Airflow | Write your first DAG in Apache Airflow
Apache Airflow is an open-source platform that allows developers to programmatically create, schedule, and monitor workflows as directed acyclic graphs (DAGs). With Airflow, you can define complex workflows with dependencies and execute them automatically or manually. In this article, we will guide you through the process of setting up Airflow and creating your first DAG.
Crispr/Cas9: A Game Changer Technique in Genetic Engineering and Biomedical Research
What is CRISPR/Cas9? CRISPR/Cas9 stands for Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9. It is a natural defense mechanism used by bacteria to protect themselves against viral infections. CRISPR/Cas9 is a revolutionary gene editing technology that has transformed the field of genetics and biomedical research. It enables researchers to manipulate and edit DNA sequences […]
Python | Introduction to Object Oriented Programming
Object-Oriented Programming (OOP) is a programming paradigm that has been used widely in software development. In Python, OOP is a popular approach used by developers to create robust, scalable, and maintainable software applications. In this article, we will explore the concept of OOP in Python, its benefits, and some examples.
Python | Exception Handling
Exception handling is an essential concept in programming that helps to handle and manage errors that occur during the execution of a program. Python provides a robust and easy-to-use exception handling mechanism that enables developers to identify and handle errors efficiently. In this article, we will explore the concept of exception handling in Python, its syntax, and some examples.
Enhancing Research Productivity with ChatGPT: A Guide for Researchers
As a researcher, you are constantly looking for ways to enhance your productivity and efficiency. One innovative tool that can help you achieve this goal is ChatGPT, a language model developed by OpenAI. ChatGPT is a powerful tool that can be used in a variety of ways to help you with your research. In this article, we will discuss how to use ChatGPT as a researcher and explore some of its key features and benefits.
The role of bioinformatics in advancing biotechnology
In the modern era of biotechnology, huge amounts of data are generated from various experiments, including sequencing genomes, analyzing gene expression, and characterizing proteins. The field of bioinformatics plays a crucial role in extracting useful insights from this data and using it to develop new biotechnological applications. In this article, we will explore the role of bioinformatics in advancing biotechnology, with examples from various sub-fields such as genomics, proteomics, and synthetic biology.
Top journals of life sciences
Life sciences have seen a massive surge in research and development in recent years, resulting in significant advancements in fields such as medicine, agriculture, and environmental science. With such a vast amount of research being conducted, it can be challenging to keep up with the latest findings and developments.
Python | File Handling
Python is a versatile and powerful programming language, with a vast range of features and libraries that make it a popular choice for a variety of tasks. One of its key strengths lies in its ability to handle file operations with ease. In this article, we’ll explore the basics of ‘.txt/csv/flat’ file operations in Python, including reading, writing, and manipulating files.
Python | How to import modules?
In Python, modules are an essential part of the language that allows you to reuse code, organize your code into separate files, and improve code modularity. There are two ways to import modules in Python:
1) using the import statement.
2) using the from keyword.
In this article, we’ll take a closer look at how to import modules in Python using both methods.