Reading Time: 4 minutes GitPython is a python library used to interact with git repositories. It is a module in python used to access our git repositories. It provides abstractions of git objects for easy access of repository data, and additionally allows you to access the git repository more directly using pure python implementation. Requirements for GitPython Python3 Git GitPython module pip and virtualenv, which come packaged with Python Continue Reading
Reading Time: 3 minutes In this blog, we are going to run the sample dynamic DAG using docker. Before that, let’s get a quick idea about the airflow and some of its terms. What is Airflow? Airflow is a workflow engine which is responsible for managing and scheduling running jobs and data pipelines. It ensures that the jobs are ordered correctly based on dependencies and also manages the allocation Continue Reading
Reading Time: 5 minutes In this blog, we are going to see, Importance of demand forecasting and how we can easily create these forecasting workflows with Knime. Market request forecasting is a basic procedure for any business, however maybe none more so than those in buyer packaged products. Stock, production, storage, delivering, showcasing – each aspect of CPG and retail organizations’ activities are influenced by accurate forecasting. Identifying shoppers’ Continue Reading
Reading Time: 3 minutes This blog is all about the predefined data structures in python. This includes these data structures: Lists, Tuples, Sets, and Dictionary.
Reading Time: 3 minutes In this blog, we are going to see, what is the Knime analytics platform and its important features to create an analytics workflow in an easy way. Introduction to Knime Analytics Platform KNIME is a platform built for powerful analytics on a GUI based workflow. This means you do not have to know how to code to be able to work using KNIME and derive Continue Reading
Reading Time: 4 minutes NumPy’s built-in methods and concepts like vectorization, broadcasting and indexing allows you to focus on answering questions from your data and not about how to code those solutions. NumPy handles most of that for you.
Reading Time: 5 minutes Numpy draws it’s powers from two major concepts – vectorization and broadcasting, These concepts help Numpy to say good bye to loops and hello to concise coding.
Reading Time: 4 minutes Welcome Back. In our previous blogs, we tried to get some insights about Spark RDDs and also tried to explore some new things in Spark 2.4. You can go through those blogs here: RDDs – The backbone of Apache Spark Spark 2.4: Adding a little more Spark to your code In this blog, we will be discussing something called a Delta Lake. But first, let’s Continue Reading
Reading Time: 4 minutes In this blog , we will focus on Image Data Augmentation using keras and how we can implement same. Problem When we work with image classification projects, the input which a user will give can vary in many aspects like angles, zoom and stability while clicking the picture. So we should train our model to accept and make sense of almost all types of inputs. Continue Reading
Reading Time: 5 minutes In this blog, we will learn about the different type of text summarization methods and at the end, we will see a practical of the same. We all interact with applications that use text summarization. several of these applications are for the platform that publishes articles on daily news, amusement, sports. With our busy schedule, we have a tendency to choose to read the summary of this article before we decide to jump in for reading the whole article. Reading a summary help us to spot the Continue Reading
Reading Time: 3 minutes In our previous blog Introduction to Django, we discussed the Django’s features and architecture. In this blog, we will create a web application in Django. For starting a new project, go to the folder where you want your project to be and run the command: django-admin startproject django_proj django-admin Django’s command-line utility for administrative tasks.manage.py is automatically created in each Django project. manage.py does the Continue Reading
Reading Time: 3 minutes What is RabbitMQ and Why we should use it? We often get this question in our mind when we look to any project and see RabbitMQ in its technical stack. So, this blog will give you a brief introduction to RabbitMQ. RabbitMQ is a message-broker whose basic functionality is to accept and forward the message. It is an open-source enterprise messaging system modeled on the Advanced Continue Reading
Reading Time: 5 minutes Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Type of machine learning Supervised learning Unsupervised Learning Reinforcement Learning In Supervised Learning, algorithms learn from labeled data. After understanding Continue Reading
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