Analytics Vidhya

APRIL 20, 2023

Introduction Python is becoming increasingly popular due to its rich Frameworks and Open Source Community availability. It has already entered the website space through the Frameworks like Django and Flask. and there are Frameworks like PyQt, and Tkinter, for Desktop UI, etc.

Analytics 257

Analytics IT 257

Smart Data Collective

SEPTEMBER 5, 2022

One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? What Is Python? Python is a powerful programming language that is widely used in many different industries today. million Python developers in the world today!

Data Science 133

Data Science Big Data Software Data Analytics 133

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Common programming languages used in data engineering include SQL, NoSQL, Python, Java, R, and Scala.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

FineReport

DECEMBER 24, 2019

What are the Views of Data Visualization? So before designing, you need to think about what you want to present to users, what characteristics of the data need to be highlighted, and what view to use for the presentation. So, which view you want to use depends on what purpose you want the data to visualize.

Visualization 105

Visualization Interactive Data-driven Software 105

O'Reilly on Data

JANUARY 25, 2021

But what are “trends”? Those reports are valuable, but their value isn’t in knowing what languages are popular in any given month. And that’s what I’d like to get to here: the real trends that aren’t reflected (or at best, are indirectly reflected) by the horse races. In our industry, cloud computing might be a good example.

Machine Learning 362

Machine Learning Software Testing Technology 362

Smart Data Collective

APRIL 23, 2019

Here’s a rundown of each type of tech your web app needs to work , and what to consider before beginning development. Web applications include two parts: what the end user sees (front end or client-side), and how the information is delivered (back end or server-side). Python: Django, Flask, Pylons Frameworks.

Technology 78

Technology Interactive Marketing IT 78

CIO Business Intelligence

JUNE 27, 2022

What were key lessons you learned on that journey? At the time I was very active in the Python and Django community, so it started gaining traction with those members and it gained enough attention for me to keep iterating on it. I’m curious what you attribute that to. What about the setup is drawing developers?

Software 104

Software Experimentation Testing Marketing 104