Reading Time: 4 minutes What is Django? Django web framework is a full-fledged python based web framework that can be used to build complex and highly scalable web apps. It closely follows the MVC(Model, View, Controller) pattern of software development i.e., MVT(Model, View, Template) where the template is equivalent to the controller in the MVC pattern. Model defines the data structure. This is the base layer to an application Continue Reading
Reading Time: 4 minutes SpaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re operating with plenty of text, you’ll eventually want to know more about it. For example, what’s it about? What do the phrases suggest in context? Who is doing what to whom? Which texts are just like every other? Certainly, spaCy can resolve all the problems stated above. Linguistic Features in SpaCy SpaCy goes Continue Reading
Reading Time: 4 minutes What is Functional Programming? “Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids state and mutable data”. In other words, functional programming (FP) promotes code with no side effects and immutable variables. It is a declarative type of programming style. Its main focus is on “what to solve” in contrast to an imperative style where the main Continue Reading
Reading Time: 3 minutes Ansible is an open-source automation engine that automates software provisioning, configuration management, and application deployment. It is quickly becoming the popular configuration management tool today. It lets you to control and config the target nodes from single host machine. As we know the only requirement in target machine is the modern version of python installed. But what if the python version is not installed on Continue Reading
Reading Time: 4 minutes In this blog, I am going to show you how you can parse the command line arguments to your python script using python argparse module.
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
