Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
GitLab
GitHub
BitBucket
Gitea
CircleCI
Jira
Jenkins
SourceForge
Pandas GitLabPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
GitLab is well-suited for developers, DevOps engineers, project managers, and teams that require robust CI/CD capabilities, strong security features, and an open-source platform that can be self-hosted or used as a cloud service. It is particularly beneficial for organizations looking for a comprehensive solution to streamline their development workflows.
Based on our record, Pandas should be more popular than GitLab. It has been mentiond 220 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.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 5 months 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 / 6 months 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 / 6 months 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 / 8 months ago
GitLab is a Git-based version control system (VCS) that emerged in 2011. The hosted GitLab.com service started out as a beta in 2012. The platform lets you store Git repositories, access them through a web browser, and collaborate on changes using a merge-based workflow. - Source: dev.to / 19 days ago
Despite its importance, many organizations lag in this area. For example, a 2024 GitLab survey revealed that only 29% of companies fully integrate security into their DevOps processes. Meanwhile, IBM's 2023 report highlighted that the average cost of a breach has climbed to $4.88 million. - Source: dev.to / about 1 month ago
11. GitLab – Complete DevSecOps Platform. - Source: dev.to / 3 months ago
I attended the AWS Summit 2025 in Singapore. I enjoyed the event. There were booths from various companies which I found interesting, such as GitLab and ClickHouse. More importantly, I got to meet very interesting people. - Source: dev.to / 4 months ago
GitLab is a well-established tool that hardly needs any introduction. This article is more like some notes to my future self. - Source: dev.to / 4 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
OpenCV - OpenCV is the world's biggest computer vision library
Gitea - A painless self-hosted Git service
