VS Code
Sublime Text
Vim
Notepad++
IntelliJ IDEA
Microsoft Visual Studio
Node.js
Android Studio
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
htm.java
Exploratory
WEKA
VS Code PandasBased on our record, VS Code should be more popular than Pandas. It has been mentiond 1138 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To do this, I used VS Code, an extension called Cline configured in Act mode, and Gemini 2.5 Pro Preview 03-25, which is amazing. I made two attempts. The first one using a simple and very generic prompt, and a second one using a more detailed prompt. Let’s talk about them. - Source: dev.to / 3 days ago
I visited code.visualstudio.com and clicked the big, inviting "Download for Mac" button. After downloading, I opened the .zip file, dragged the VS Code app into my Applications folder, and launched it. - Source: dev.to / 7 days ago
For this challenge we will use Visual Studio Code and Anthropic Claude (Claude 3.7 Sonnet). Also, Go lang must be installed. I am running Fedora Linux. - Source: dev.to / 9 days ago
VS Code installed on your machine (available from here). - Source: dev.to / 27 days ago
Get your hands on VS Code by downloading it from the official website - your new coding command center. - Source: dev.to / about 1 month ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 6 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 22 days ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 26 days ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 8 months ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
NumPy - NumPy is the fundamental package for scientific computing with Python
Vim - Highly configurable text editor built to enable efficient text editing
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
OpenCV - OpenCV is the world's biggest computer vision library
