Category: Python

Python tutorials

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Managing Python Environments with direnv and pyenv

Introduction As Python developers, most of us are familiar with Virtual Environments. One of the first things we do when working on a new project is to create an environment. We commonly use virtualenv or venv exactly for that purpose. Each project we work on uses different packages and may even be compatible with only one Python version. Doing something repeatedly warrants automation. In this article, we’ll see how direnv and pyenv can help us do that. As a side […]

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What’s New in Tensorflow 2.0?

Introduction If you are a Machine Learning Engineer, Data Scientist, or a hobbyist developing Machine Learning Models from time to time just for fun, then it is very likely that you are familiar with Tensorflow. Tensorflow is an open-source and a free framework developed by Google Brain Team written in Python, C++, and CUDA. It is used to develop, test, and deploy Machine Learning models. Initially, Tensoflow did not have full support for multiple platforms and programming languages, and it […]

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Guide to Basic Data Types in Python with Examples

Introduction to Python Data Types In this article, we’ll be diving into the Basic Data Types in Python. These form some of the fundamental ways you can represent data. One way to categorize these basic data types is in one of four groups: Numeric: int, float and the less frequently encountered complex Sequence: str (string), list and tuple Boolean: (True or False) Dictionary: dict(dictionary) data type, consisting of (key, value) pairs It’s important to point out that Python usually doesn’t […]

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Deep Learning Models in Keras – Exploratory Data Analysis (EDA)

Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in technology and algorithms in recent years, deep learning has opened the door to a new era of AI applications. In many of these applications, deep learning algorithms performed equal to human experts and sometimes surpassed them. Python has become the go-to language for Machine Learning and many of the most popular and powerful deep learning libraries […]

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Python

Deep Learning in Keras – Data Preprocessing

Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in technology and algorithms in recent years, deep learning has opened the door to a new era of AI applications. In many of these applications, deep learning algorithms performed equal to human experts and sometimes surpassed them. Python has become the go-to language for Machine Learning and many of the most popular and powerful deep learning libraries […]

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Integrating H2 with Python and Flask

Introduction H2 is a lightweight database server written in Java. It can be embedded in Java applications, or run as a standalone server. In this tutorial, we’ll review why H2 can be a good option for your projects. We’ll also learn how to integrate H2 with Python by building a simple Flask API. The Features of H2 H2 was built with performance in mind. “H2 is a combination of: fast, stable, easy to use, and features”. Although H2 is prominent […]

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Python

Data Science – learn R or Python?

Hi Folks, I have a query around whether to learn R from scratch or should I leverage my basic python knowledge to extend into Data Science with scikit,numpy ,pandas? So I am bit confused … I am not shy to learn New programming language like R etc bur really need to know who edges out whom in market. Maybe i should learn R too along with Python so  your valuable opinion matters.             Also i […]

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Data Science In The Cloud With DataJoy

DataJoy is an unbelievably fantastic way for a working data scientist to have their favorite tools at hand. I am a minimalist when it comes to being mobile, whether working on the road, traveling for leisure, and sometimes both. I do not like to keep files on my laptop and I do not, for the most part, like to worry about keeping updated applications on my laptop. I have tried as much as possible to push my life into the […]

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Picking an Analytic Platform

Summary: Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable.  But as organizations grow larger there is a need for standardization and for selecting one, or a few analytic tools.   Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable.  That in turn almost always means whatever we used in college (or your certificate course) be it R, […]

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