Anaconda vs. Python: What’s the Difference?

Anaconda vs. Python: What’s the Difference? When data science teams start a new project, they need to determine which programming languages or tools would be most suitable. Every technology — including Anaconda and Python — has a different learning curve, core capabilities, potential performance, and other factors to consider. Python is one of the most […]
Top Strategic Technology Trends for 2025

About Compliments of Anaconda, the Gartner Top Strategic Technology Trends for 2025 report is the roadmap CIOs, CTOs, and IT Leaders can bring to their organizations to eliminate productivity, security, and innovation obstacles. Download the Gartner® report to discover: AI imperatives and risks with agentic AI and governance New frontiers of computing– exploring sustainable and quantum computing […]
9 of the Best Python Machine Learning Tools

Introduction The demand for machine learning experts has increased in recent years, in large part due to the rise in data collection and the need to derive valuable insights from that data. Python’s simplicity, adaptability, and collection of libraries (including TensorFlow, PyTorch, and scikit-learn) have made it the predominant programming language for machine learning methods. However, […]
7 Best MLOps Tools [2025 Buyer’s Guide]

Introduction Organizations that struggle with machine learning workflows, model deployment issues, lack of visibility into model performance, and other challenges are increasingly turning to new machine learning engineering practices. Machine learning operations (MLOps) is an important function that aims to use automation and standardization to get high-quality models into production faster, as well as facilitate reproducibility and […]
Open-Source Security: Risks, Benefits, and Best Practices

Introduction Open-source software has become an integral part of modern software and application development, offering numerous benefits such as transparency, collaboration, and access to cutting-edge tools. Its use is widespread in software development, data science, and artificial intelligence. However, this broad adoption requires strong security measures. Over the past few decades, open-source software has transitioned […]
Best Python Libraries for Data Science, Machine Learning, & More

Introduction Python has grown to become one of the most popular programming languages because of its versatility for a wide range of tasks, from data manipulation and analysis to machine learning and web development. Along with its flexibility and simple syntax, Python has a large ecosystem of libraries and frameworks that simplify complex tasks and […]
Data Science vs Machine Learning: What’s the Difference?

Introduction Two terms that often arise in discussions around leveraging data are data science and machine learning. While these concepts are closely related (and sometimes mistaken to be the same), each has distinct characteristics and applications. Understanding the ways in which data science and machine learning overlap and differ can help you determine how to best leverage […]
Deep Learning vs Machine Learning: Whats the Difference?

Business interest in artificial intelligence (AI) has reached a fever pitch. As a result, subsets of AI — machine learning (ML) and deep learning (DL) — are gaining significant attention. The differences between these two fields are subtle, but it’s important to understand them to maximize business value for your organization. This article will compare and […]
The 5 Best Data Science Platforms in 2024

Introduction Today, there are a number of data science platforms to choose from with new options emerging every year as the field continues to evolve. This can make it difficult for organizations to choose the right solution for their specific use cases. In fact, many organizations select a data science platform only to face onboarding […]
Best Data Science Tools in 2024

Introduction Data science has undergone a significant transformation in recent years, driven by the emergence of sophisticated tools — particularly machine learning, artificial intelligence, and open-source software. What was once an extremely specialized domain requiring access to powerful, expensive computing resources has become more accessible to a broad spectrum of users. Additionally, practitioners no longer require extensive […]