KDnuggets

DECEMBER 29, 2022

This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

Machine Learning 160

Machine Learning Data Science Python Data 160

KDnuggets

MARCH 28, 2024

This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Python, and how to turn models into web services.

Data Science 140

Data Science Python Data Process 140

KDnuggets

JANUARY 15, 2022

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

Datasets 159

Datasets Data Science Python Machine Learning 159

KDnuggets

NOVEMBER 6, 2023

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

Data Science 146

Data Science Python Programming Data 146

KDnuggets

NOVEMBER 5, 2024

Enhance your data science portfolio with these seven engaging Python projects that demonstrate essential programming and software engineering skills.

Portfolio 132

Portfolio Data Science Python Project 132

KDnuggets

NOVEMBER 25, 2024

Learn how to build a data science app with Python, using Scikit-Learn and FastAPI, one step at a time.

Data Science 136

Data Science Python Building Data 136

KDnuggets

SEPTEMBER 9, 2024

Exploring the not-so-famous data science libraries that can be useful in your data workflow.

Data Science 146

Data Science Python Data Workflow Data 146

Analytics Vidhya

APRIL 17, 2023

These sessions will cover everything from conversational intelligence to people analytics covering topics like […] The post Ace Your Data Science Skills with DataHour Sessions appeared first on Analytics Vidhya.

Data Science 231

Data Science Data Technology Deep Learning 231

KDnuggets

SEPTEMBER 18, 2023

You can now run Python code in Excel to analyze data, build machine learning models, and create visualizations.

Python 159

Python Data Science Machine Learning Data 159

KDnuggets

OCTOBER 25, 2024

The richness of Python’s ecosystem has one downside: it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.

Data Science 145

Data Science Python Data IT 145

KDnuggets

NOVEMBER 18, 2022

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

Data Science 160

Data Science Python Data 160

KDnuggets

OCTOBER 25, 2024

Using Python to build engaging and interactive applications where users can pass in an input, get and feedback and make use of multimedia elements such as images, videos, and audio.

Python 132

Python Building Data Science Data 132

KDnuggets

OCTOBER 16, 2023

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

Data Science 157

Data Science Deep Learning Machine Learning Python 157

KDnuggets

APRIL 27, 2022

Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

Python 160

Python Coding Data Science Data 160

KDnuggets

NOVEMBER 17, 2021

Faker is a Python library that generates fake data to supplement or take the place of real world data. See how it can be used for data science.

Python 159

Python Data Science Data IT 159

KDnuggets

AUGUST 12, 2024

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

Python 153

Python Data Science Data 153

Knowledge Hut

JUNE 25, 2024

Python could be a high-level, useful programming language that allows faster work. Python was designed by Dutch computer programmer Guido van Rossum in the late 1980s. For those interested in studying this programming language, several best books for python data science are accessible.

Data Science 97

Data Science Python Hadoop Machine Learning 97

KDnuggets

SEPTEMBER 20, 2023

Python in Excel: This Will Change Data Science Forever • KDnuggets Survey: Benchmark With Your Peers On Data Science Spend & Trends 2023 H2 • 5 Best AI Tools For Maximizing Productivity • And much more!

Data Science 129

Data Science Python Data 129

KDnuggets

APRIL 17, 2023

ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT • GPT-4: Everything You Need To Know • Automate the Boring Stuff with GPT-4 and Python • Simpson's Paradox and its Implications in Data Science • ChatGPT vs Google Bard: A Comparison of the Technical Differences • OpenChatKit: Open-Source ChatGPT Alternative • How (..)

Data Science 158

Data Science Python Data IT 158

KDnuggets

DECEMBER 15, 2022

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

Portfolio 153

Portfolio Project Data Science Python 153

Analytics Vidhya

MARCH 5, 2023

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc.

Python 276

Python Data Science Programming IT 276

KDnuggets

OCTOBER 31, 2023

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

Python 134

Python Data Science Coding Data 134

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Algorithm Machine Learning Python 160

KDnuggets

FEBRUARY 1, 2024

Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

Data Science 140

Data Science Machine Learning SQL Data Analysis 140

KDnuggets

OCTOBER 16, 2023

How to clean your data in Python and make it ready for use in a data science project.

Python 145

Python Data Science Data Project 145

KDnuggets

JULY 4, 2022

Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 139

Data Science Algorithm Python Coding 139

KDnuggets

JUNE 27, 2022

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.

Data Science 140

Data Science Algorithm Python Coding 140

Snowflake

OCTOBER 23, 2023

One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141

Python Cloud Data Science Machine Learning 141

Analytics Vidhya

APRIL 17, 2023

Introduction Kedro is an open-source Python framework for creating reproducible, maintainable, and modular data science code. It uses best practices of software engineering to build production-ready data science pipelines. This article will give you a glimpse of Kedro framework using news classification tasks.

Data Science 226

Data Science Software Engineer Software Engineering Machine Learning 226

KDnuggets

MARCH 5, 2025

Pandas alternative libraries that you might not know before.

Data Science 146

Data Science Python Data 146

KDnuggets

JANUARY 3, 2023

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

Python 160

Python IT Data Data Science 160

Edureka

JANUARY 21, 2025

One of the most popular choices among developers is Flask, a Python framework that is both lightweight and flexible. This blog will explain a core web framework, go over the basics of Python and Flask, discuss its uses, show how popular it is, compare it to Django, and give you a general idea of the pros and cons of using Flask.

Python 52

Python Building Certification Database 52

KDnuggets

JANUARY 23, 2023

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

Data Science 160

Data Science Deep Learning Machine Learning Python 160

KDnuggets

JANUARY 12, 2023

Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets.

Python 120

Python Data Science Data Management Management 120

KDnuggets

JULY 2, 2024

Learn SQL, Python, statistics, mathematics, and data analysis—everything you need to learn before you start the journey of becoming a professional data scientist.

Data Science 138

Data Science SQL Data Analysis Python 138

KDnuggets

DECEMBER 28, 2023

Discover a collection of best books to start your data career or master a new skill, all for free!

Machine Learning 159

Machine Learning Data Science Process SQL 159

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. It can be daunting for someone new to data science.

Programming Language 98

Programming Language Data Science Programming Java 98