- GitHub Copilot Open Source Alternatives - Mar 25, 2022.
GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.
Programming
- The Most Popular Intro to Programming Course From Harvard is Free!
- Mar 23, 2022.
CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus... and is free to anyone interested in taking it!
Programming
- Why Do Most People Fail to Learn Programming? - Mar 15, 2022.
Have you spent hours taking coding bootcamps, online courses, and tutorials, only to feel like you aren’t getting anywhere?
Programming
- New Ways of Sharing Code Blocks for Data Scientists - Mar 11, 2022.
Share the interactive code blocks to impress your colleagues or post it on social media.
Programming
- Data Science Programming Languages and When To Use Them - Feb 4, 2022.
Read this guide through the most common data science programming languages and when to use them in data science.
Programming
- Understanding Iterables vs Iterators in Python - Jan 27, 2022.
Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.
Programming
- R vs Python (Again): A Human Factor Perspective - Jan 27, 2022.
This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.
Programming
- Top Programming Languages and Their Uses - Jan 19, 2022.
The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.
Programming
- KDnuggets™ News 21:n48, Dec 22: Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist - Dec 22, 2021.
Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science
Career Advice, Data Science, Programming, Python
Write Clean Python Code Using Pipes - Dec 15, 2021.
A short and clean approach to processing iterables.
Programming, Python
- Software Mistakes and Tradeoffs: New book by Tomasz Lelek and StackOverflow guru Jon Skeet - Dec 14, 2021.
Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. Software Mistakes and Tradeoffs is available in early access from its publisher Manning. Pre-order now and start reading immediately as part of the Manning Early Access Program (MEAP).
Manning, Programming, Software
- A Spreadsheet that Generates Python: The Mito JupyterLab Extension - Nov 25, 2021.
You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.
Jupyter, Programming, Python, Spreadsheet
- 5 Advanced Tips on Python Sequences - Nov 23, 2021.
Notes from Fluent Python by Luciano Ramalho.
Programming, Python
- 3 Differences Between Coding in Data Science and Machine Learning - Nov 19, 2021.
The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.
Data Science, Machine Learning, Programming
- 25 Github Repositories Every Python Developer Should Know - Nov 12, 2021.
Check out these repositories to help you improve your data science skills.
GitHub, Programming, Python
- Analyze Python Code in Jupyter Notebooks - Oct 28, 2021.
We present a new tool that integrates modern code analysis techniques with Jupyter notebooks and helps developers find bugs as they write code.
Jupyter, Programming, Python
- Parallelizing Python Code - Oct 4, 2021.
This article reviews some common options for parallelizing Python code, including process-based parallelism, specialized libraries, ipython parallel, and Ray.
Distributed Computing, Parallelism, Programming, Python, Ray
- GitHub Copilot and the Rise of AI Language Models in Programming Automation - Sep 22, 2021.
Read on to learn more about what makes Copilot different from previous autocomplete tools (including TabNine), and why this particular tool has been generating so much controversy.
AI, Automation, GitHub, NLP, Programming
Nine Tools I Wish I Mastered Before My PhD in Machine Learning - Sep 22, 2021.
Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.
AI, Data Science, Data Science Tools, Machine Learning, Programming
- A Python Data Processing Script Template - Aug 31, 2021.
Here's a skeleton general purpose template for getting a Python command line script fleshed out as quickly as possible.
Programming, Python
- 11 Best Data Science Education Platforms - Aug 26, 2021.
We cover 11 best Data Science Education platforms for 11 different use cases, ranging from specific languages to hands-on learners, to the best free option.
Data Science Education, Data Scientist, Online Education, Programming
Django’s 9 Most Common Applications - Aug 23, 2021.
Django is a Python web application framework enjoying widespread adoption in the data science community. But what else can you use Django for? Read this article for 9 use cases where you can put Django to work.
Django, Programming, Python
- Stack Overflow Survey Data Science Highlights - Aug 20, 2021.
The results of the 2021 Stack Overflow Developer Survey were recently released, which is a fascinating snapshot of today's developers and the tools they are using. Have a look at some selections from the report, particularly those which may be of interest to data professionals.
Cloud, Data Science, Databases, Developers, Programming, Programming Languages, StackOverflow, Survey
- Data Scientist’s Guide to Efficient Coding in Python - Aug 18, 2021.
Read this fantastic collection of tips and tricks the author uses for writing clean code on a day-to-day basis.
Programming, Python, Tips
- 5 Tips for Writing Clean R Code - Aug 9, 2021.
This article summarizes the most common mistakes to avoid and outline best practices to follow in programming in general. Follow these tips to speed up the code review iteration process and be a rockstar developer in your reviewer’s eyes!
Programming, R
- Python Data Structures Compared - Jul 27, 2021.
Let's take a look at 5 different Python data structures and see how they could be used to store data we might be processing in our everyday tasks, as well as the relative memory they use for storage and time they take to create and access.
Data Science, Programming, Python
- Top Python Data Science Interview Questions - Jul 23, 2021.
Six must-know technical concepts and two types of questions to test them.
Data Science, Interview Questions, Programming, Python
Design patterns in machine learning - Jul 21, 2021.
Can we abstract best practices to real design patterns yet?
Design, Machine Learning, Programming
- How Much Memory is your Machine Learning Code Consuming? - Jul 19, 2021.
Learn how to quickly check the memory footprint of your machine learning function/module with one line of command. Generate a nice report too.
Machine Learning, Programming, Python
Top 6 Data Science Online Courses in 2021 - Jul 15, 2021.
As an aspiring data scientist, it is easy to get overwhelmed by the abundance of resources available on the Internet. With these 6 online courses, you can develop yourself from a novice to experienced in less than a year, and prepare you with the skills necessary to land a job in data science.
Data Science Education, Online Education, Programming, Python, SQL
- 5 Python Data Processing Tips & Code Snippets - Jul 9, 2021.
This is a small collection of Python code snippets that a beginner might find useful for data processing.
Data Preprocessing, Data Processing, Pandas, Programming, Python
- GitHub Copilot: Your AI pair programmer – what is all the fuss about? - Jul 5, 2021.
GitHub just released Copilot, a code completion tool on steroids dubbed your "AI pair programmer." Read more about it, and see what all the fuss is about.
AI, Generative Models, GitHub, NLP, Programming
- How to Use NVIDIA GPU Accelerated Libraries - Jul 1, 2021.
If you are wondering how you can take advantage of NVIDIA GPU accelerated libraries for your AI projects, this guide will help answer questions and get you started on the right path.
GPU, NVIDIA, Programming
- 10 Python Code Snippets We Should All Know - Jun 24, 2021.
Check out these Python code snippets and start using them to solve everyday problems.
Programming, Python
- How to troubleshoot memory problems in Python - Jun 21, 2021.
Memory problems are hard to diagnose and fix in Python. This post goes through a step-by-step process for how to pinpoint and fix memory leaks using popular open source python packages.
Programming, Python
How to Generate Automated PDF Documents with Python - Jun 10, 2021.
Discover how to leverage automation to create dazzling PDF documents effortlessly.
Data Visualization, PDF, Programming, Python
- Data Scientists, You Need to Know How to Code - Jun 9, 2021.
You need to know how to code — and not just code, but write good code.
Career Advice, Data Science, Data Scientist, Programming
Applying Python’s Explode Function to Pandas DataFrames - May 7, 2021.
Read this applied Python method to solve the issue of accessing column by date/ year using the Pandas library and functions lambda(), list(), map() & explode().
Data Analysis, Pandas, Programming, Python
- Rebuilding My 7 Python Projects - May 5, 2021.
This is how I rebuilt My Python Projects: Data Science, Web Development & Android Apps.
Data Science, Programming, Project, Python
- Build an Effective Data Analytics Team and Project Ecosystem for Success - Apr 19, 2021.
Apply these techniques to create a data analytics program that delivers solutions that delight end-users and meet their needs.
Analytics Team, Career Advice, Data Science Team, Excel, Programming, SQL, Success
- Software Engineering Best Practices for Data Scientists - Mar 30, 2021.
This is a crash course on how to bridge the gap between data science and software engineering.
Data Science, Data Scientist, Programming, Python, Software Engineering
- A Simple Way to Time Code in Python - Mar 18, 2021.
Read on to find out how to use a decorator to time your functions.
Optimization, Programming, Python
- 15 common mistakes data scientists make in Python (and how to fix them) - Mar 3, 2021.
Writing Python code that works for your data science project and performs the task you expect is one thing. Ensuring your code is readable by others (including your future self), reproducible, and efficient are entirely different challenges that can be addressed by minimizing common bad practices in your development.
Best Practices, Data Scientist, Jupyter, Mistakes, Programming, Python
The Ultimate Guide to Acing Coding Interviews for Data Scientists - Mar 2, 2021.
This article covers understanding the 4 types of coding interview questions and preparing for them effectively.
Data Science, Data Scientist, Interview Questions, Programming
- Column-Oriented Databases, Explained - Feb 12, 2021.
NoSQL Databases have four distinct types. Key-value stores, document-stores, graph databases, and column-oriented databases. In this article, we’ll explore column-oriented databases, also known simply as “NoSQL columns”.
Beginners, Databases, NoSQL, Programming
- JupyterLab 3 is Here: Key reasons to upgrade now - Jan 8, 2021.
Read about these 3 reasons for checking out JupyterLab 3 today.
Data Science, IDE, Jupyter, Programming
- CatalyzeX: A must-have browser extension for machine learning engineers and researchers - Jan 6, 2021.
CatalyzeX is a free browser extension that finds code implementations for ML/AI papers anywhere on the internet (Google, Arxiv, Twitter, Scholar, and other sites).
Implementation, Machine Learning, Programming, Research
- 10 Python Skills They Don’t Teach in Bootcamp - Dec 11, 2020.
Ascend to new heights in Data Science and Machine Learning with this thrilling list of coding tips.
Bootcamp, Programming, Python
R or Python? Why Not Both? - Dec 9, 2020.
Do you use both R and Python, either in different projects or in the same? Check out prython, an IDE designed to handle your needs.
Data Analysis, Data Science, IDE, Programming, Python, R
- The Ultimate Guide to Data Engineer Interviews - Dec 7, 2020.
If you are preparing for data engineering interviews, then follow these technical recommendations regarding your resume, programming skills, SQL acumen, and system design problem-solving, as well as the non-technical aspects of your upcoming interview session.
Career Advice, Data Engineer, Data Engineering, Interview Questions, Programming, SQL
- 10 Python Skills for Beginners - Dec 3, 2020.
Python is the fastest growing, most-beloved programming language. Get started with these Data Science tips.
Data Science, Programming, Python, Tips
Object-Oriented Programming Explained Simply for Data Scientists - Dec 1, 2020.
Read this simple but effective guide to start using Classes in Python 3.
Data Science, Data Scientist, Explained, Programming, Python
- 10 Underrated Python Skills - Oct 21, 2020.
Tips for feature analysis, hyperparameter tuning, data visualization and more.
Data Analysis, Data Science Skills, Data Visualization, MLflow, Pandas, Programming, Python, Time Series
fastcore: An Underrated Python Library - Oct 15, 2020.
A unique python library that extends the python programming language and provides utilities that enhance productivity.
Development, fast.ai, Programming, Python
How to ace the data science coding challenge - Oct 15, 2020.
Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview.
Beginners, Challenge, Data Science, Interview, Programming
The Best Free Data Science eBooks: 2020 Update - Sep 30, 2020.
The author has updated their list of best free data science books for 2020. Read on to see what books you should grab.
Books, Data Science, Free ebook, Probability, Programming, Statistics
- Making Python Programs Blazingly Fast - Sep 25, 2020.
Let’s look at the performance of our Python programs and see how to make them up to 30% faster!
Development, Optimization, Programming, Python
- New Poll: What Python IDE / Editor you used the most in 2020? - Sep 22, 2020.
The latest KDnuggets polls asks which Python IDE / Editor you have used the most in 2020. Participate now, and share your experiences with the community.
Data Science, Development, IDE, Poll, Programming, Python
Automating Every Aspect of Your Python Project - Sep 18, 2020.
Every Python project can benefit from automation using Makefile, optimized Docker images, well configured CI/CD, Code Quality Tools and more…
Development, DevOps, Docker, Programming, Python
- Math for Programmers - Sep 10, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.
Book, Manning, Mathematics, Programming
- Free From MIT: Intro to Computer Science and Programming in Python - Sep 9, 2020.
This free introductory computer science and programming course is available via MIT's Open Courseware platform. It's a great resource for mastering the fundamentals of one of data science's major requirements.
Computer Science, Courses, MIT, Programming, Python
- 4 Tricks to Effectively Use JSON in Python - Sep 8, 2020.
Working with JSON in Python is a breeze, this will get you started right away.
Programming, Python, Tips
Unit Test Your Data Pipeline, You Will Thank Yourself Later - Aug 11, 2020.
While you cannot test model output, at least you should test that inputs are correct. Compared to the time you invest in writing unit tests, good pieces of simple tests will save you much more time later, especially when working on large projects or big data.
Data Science, Pipeline, Programming
- Math for Programmers! - Jul 30, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.
Book, Manning, Mathematics, Programming
- 3 Advanced Python Features You Should Know - Jul 16, 2020.
As a Data Scientist, you are already spending most of your time getting your data ready for prime time. Follow these real-world scenarios to learn how to leverage the advanced techniques in Python of list comprehension, Lambda expressions, and the Map function to get the job done faster.
Pandas, Programming, Python, Tips
- Why Learn Python? Here Are 8 Data-Driven Reasons - Jul 10, 2020.
Through this blog, I will list out the major reasons why you should learn Python and the 8 major data-driven reasons for learning it.
Data Science, Programming, Programming Languages, Python
- Software engineering fundamentals for Data Scientists - Jun 30, 2020.
As a data scientist writing code for your models, it's quite possible that your work will make its way into a production environment to be used by the masses. But, writing code that is deployed as software is much different than writing code for exploratory data analysis. Learn about the key approaches for making your code production-ready that will save you time and future headaches.
Advice, Best Practices, Data Science, Programming, Software Engineering
- Five Lines of Code - Jun 24, 2020.
If you want to learn simple and practical rules for coding and refactoring, "Five Lines of Code" from Manning is the guide for you, teaching you concrete principles for refactoring. Save 40% with code nlfive40 until July 24.
Best Practices, Book, Manning, Programming
- Time Complexity: How to measure the efficiency of algorithms - Jun 24, 2020.
When we consider the complexity of an algorithm, we shouldn’t really care about the exact number of operations that are performed; instead, we should care about how the number of operations relates to the problem size.
Algorithms, Complexity, Programming
Python For Everybody: The Free eBook - May 25, 2020.
Get back to fundamentals with this free eBook, Python For Everybody, approaching the learning of programming from a data analysis perspective.
Algorithms, Free ebook, Programming, Python
- Coding habits for data scientists - May 14, 2020.
While the core machine learning algorithms might only take up a few lines of code, it's the rest of your program that can get messy fast. Learn about some techniques for identifying bad coding habits in ML that add to complexity in code as well as start new habits that can help partition complexity.
Best Practices, Data Scientist, Development, Jupyter, Programming
Stop Hurting Your Pandas! - Apr 3, 2020.
This post will address the issues that can arise when Pandas slicing is used improperly. If you see the warning that reads "A value is trying to be set on a copy of a slice from a DataFrame", this post is for you.
Pandas, Programming, Python
- Math for Programmers! - Mar 11, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Book, Manning, Mathematics, Programming
- Introducing fastpages: An easy to use blogging platform with extra features for Jupyter Notebooks - Feb 27, 2020.
This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.
Blogs, fast.ai, Jupyter, Programming
- Data Science Curriculum for self-study - Feb 26, 2020.
Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary for the job.
Advice, Data Science, Data Science Education, Data Visualization, Mathematics, Probability, Programming, Statistics
Python and R Courses for Data Science - Feb 26, 2020.
Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.
Coursera, Data Science, edX, MOOC, Programming, Python, R
- Getting Started with R Programming - Feb 19, 2020.
An end to end Data Analysis using R, the second most requested programming language in Data Science.
Data Science, Machine Learning, Programming, R
- Math for Programmers – your guide for solving math problems in code - Feb 12, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Book, Manning, Mathematics, Programming
- Uber Has Been Quietly Assembling One of the Most Impressive Open Source Deep Learning Stacks in the Market - Jan 27, 2020.
Many of the technologies used by Uber teams have been open sourced and received accolades from the machine learning community. Let’s look at some of my favorites.
Deep Learning, Interpretability, NLP, Probability, Programming, Scalability, Uber
Math for Programmers! - Jan 15, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Book, Manning, Mathematics, Programming
Learning SQL the Hard Way - Jan 8, 2020.
Simply put: This post is about installing SQL, explaining SQL and running SQL.
Databases, MySQL, Programming, SQL
- 10 Python Tips and Tricks You Should Learn Today - Jan 8, 2020.
Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.
Programming, Python, Tips
- Python Dictionary Guide: 10 Python Dictionary Methods & Examples - Dec 12, 2019.
Master Python Dictionaries and their essential functions in 15 minutes with this introductory guide.
Programming, Python
- Python Tuples and Tuple Methods - Nov 21, 2019.
Brush up on your Python basics with this post on creating, using, and manipulating tuples.
Programming, Python
- Python Lists and List Manipulation - Nov 15, 2019.
In Python, lists store an ordered collection of items which can be of different types. This post is an overview of lists and their manipulation.
Programming, Python
- What is Machine Learning on Code? - Nov 1, 2019.
Not only can MLonCode help companies streamline their codebase and software delivery processes, but it also helps organizations better understand and manage their engineering talents.
Machine Learning, Programming, Software
10 Great Python Resources for Aspiring Data Scientists - Sep 9, 2019.
This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.
Data Science, Data Scientist, Programming, Python
Object-oriented programming for data scientists: Build your ML estimator - Aug 30, 2019.
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.
Data Scientist, Machine Learning, Programming, Python
- How a simple mix of object-oriented programming can sharpen your deep learning prototype - Aug 1, 2019.
By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.
Deep Learning, Keras, Programming, Python
- Neural Code Search: How Facebook Uses Neural Networks to Help Developers Search for Code Snippets - Jul 24, 2019.
Developers are always searching for answers to questions about their code. But how do they ask the right questions? Facebook is creating new NLP neural networks to help search code repositories that may advance information retrieval algorithms.
Facebook, Information Retrieval, Natural Language Processing, Neural Networks, NLP, Programming
- How to Use Python’s datetime - Jun 17, 2019.
Python's datetime package is a convenient set of tools for working with dates and times. With just the five tricks that I’m about to show you, you can handle most of your datetime processing needs.
Programming, Python, Time Series
- PyCharm for Data Scientists - May 17, 2019.
This article is a discussion of some of PyCharm's features, and a comparison with Spyder, an another popular IDE for Python. Read on to find the benefits and drawbacks of PyCharm, and an outline of when to prefer it to Spyder and vice versa.
Data Science, Data Scientist, Programming, PyCharm, Python
Top 10 Coding Mistakes Made by Data Scientists - Apr 2, 2019.
Here is a list of 10 common mistakes that a senior data scientist — who is ranked in the top 1% on Stackoverflow for python coding and who works with a lot of (junior) data scientists — frequently sees.
Data Science, Data Scientist, Mistakes, Programming
- Deploy your PyTorch model to Production - Mar 20, 2019.
This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python.
Data Science Education, Data Scientist, Deep Learning, Flask, Programming, Python, PyTorch
4 Reasons Why Your Machine Learning Code is Probably Bad - Feb 26, 2019.
Your current ML workflow probably chains together several functions executed linearly. Instead of linearly chaining functions, data science code is better written as a set of tasks with dependencies between them. That is your data science workflow should be a DAG.
Data Science, Machine Learning, Programming, Python, Workflow
- How to Setup a Python Environment for Machine Learning - Feb 18, 2019.
In this tutorial, you will learn how to set up a stable Python Machine Learning development environment. You’ll be able to get right down into the ML and never have to worry about installing packages ever again.
Machine Learning, Programming, Python
- Python Patterns: max Instead of if - Jan 10, 2019.
I often have to loop over a set of objects to find the one with the greatest score. You can use an if statement and a placeholder, but there are more elegant ways!
Programming, Python
- How Different are Conventional Programming and Machine Learning? - Dec 10, 2018.
When I heard about Machine Learning I couldn't contain the amazement. I was not able to get my mind around the fact, that unlike normal software programs - which I was accustomed to - I wouldn't even have to teach a computer the "how" in detail about all the future scenarios up front.
Machine Learning, Programming
Here are the most popular Python IDEs / Editors - Dec 7, 2018.
We report on the most popular IDE and Editors, based on our poll. Jupyter is the favorite across all regions and employment types, but there is competition for no. 2 and no. 3 spots.
IDE, Jupyter, Poll, Programming, PyCharm, Python, Visual Studio Code
What is the Best Python IDE for Data Science? - Nov 14, 2018.
Before you start learning Python, choose the IDE that suits you the best. We examine many available tools, their pros and cons, and suggest how to choose the best Python IDE for you.
Data Science, IDE, Jupyter, Programming, Python
- Get a 2–6x Speed-up on Your Data Pre-processing with Python - Oct 23, 2018.
Get a 2–6x speed-up on your pre-processing with these 3 lines of code!
Data Preprocessing, Efficiency, Programming, Python
- 5 “Clean Code” Tips That Will Dramatically Improve Your Productivity - Oct 15, 2018.
TL;DR: If it isn’t tested, it’s broken; Choose meaningful names; Classes and functions should be small and obey the Single Responsibility Principle (SRP); Catch and handle exceptions, even if you don’t think you need to; Logs, logs, logs
Efficiency, Programming
- Are Vectorized Random Number Generators Actually Useful? - Aug 28, 2018.
I reported that you can multiply the speed of common (fast) random number generators such as PCG and xorshift128+ by a factor of three or four by vectorizing them using SIMD instructions. Is this actually useful in practice?
Parallelism, Programming, Random, Randomization
Programming Best Practices For Data Science - Aug 7, 2018.
In this post, I'll go over the two mindsets most people switch between when doing programming work specifically for data science: the prototype mindset and the production mindset.
Best Practices, Data Science, Pandas, Programming, Python
Cookiecutter Data Science: How to Organize Your Data Science Project - Jul 24, 2018.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Data Science, Programming, Project, Python
Python Regular Expressions Cheat Sheet - Apr 19, 2018.
The tough thing about learning data is remembering all the syntax. While at Dataquest we advocate getting used to consulting the Python documentation, sometimes it's nice to have a handy reference, so we've put together this cheat sheet to help you out!
Cheat Sheet, Programming, Python, Text Analytics
Data Structures Related to Machine Learning Algorithms - Jan 30, 2018.
If you want to solve some real-world problems and design a cool product or algorithm, then having machine learning skills is not enough. You would need good working knowledge of data structures.
Pages: 1 2
Machine Learning, Mathematics, Programming, Statsbot
How To Become a 10x Data Scientist, part 1 - Sep 18, 2017.
A 10x developer is someone who is 10 times more productive than average. We adapt tips and tricks from the developer community to help you become a more proficient data scientist loved by team members and stakeholders.
Advice, Algorithmia, Data Science Team, Data Scientist, Data-Driven Business, Programming
- How Not To Program the TensorFlow Graph - May 1, 2017.
Using TensorFlow from Python is like using Python to program another computer. Being thoughtful about the graphs you construct can help you avoid confusion and costly performance problems.
Deep Learning, Programming, Python, TensorFlow
- Moving from R to Python: The Libraries You Need to Know - Feb 24, 2017.
Are you considering making a move from R to Python? Here are the libraries you need to know, how they stack up to their R contemporaries, and why you should learn them.
Jupyter, Pandas, Programming, Python, R, scikit-learn, Yhat
- Great Collection of Minimal and Clean Implementations of Machine Learning Algorithms - Jan 25, 2017.
Interested in learning machine learning algorithms by implementing them from scratch? Need a good set of examples to work from? Check out this post with links to minimal and clean implementations of various algorithms.
Algorithms, Machine Learning, Programming, Python
- Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books - Jan 11, 2017.
Also AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017; Scikit-Learn Cheat Sheet: #Python #MachineLearning
2017 Predictions, Free ebook, Programming, scikit-learn, Self-Driving Car
- Data Science 101: How to get good at R - Nov 1, 2016.
Everybody talks about R programming, how to learn, how to be good at it. But in this article, Ari Lamstein tells us his story about why and how he started with R along with how to publish, market and monetise R projects.
Ari Lamstein, Beginners, Data Science, Monetizing, Programming, R
- What Data Scientists Can Learn From Qualitative Research - Jul 14, 2016.
Learn what data scientists can learn from qualitative researchers when it comes to analysing text, and how this relates to writing quality code.
Programming, Qualitative Analytics, Qualitative Research, Text Analytics
- R Programming: Who, Where and What - Aug 11, 2015.
The “sexiest job” has the sexiest demand, and R is one of their leading weapons. Here, we are trying to capture how these unicorns are distributed, and also where you can move if you want to have great opportunities.
India, Programming, R, Salary, USA
- Perfume, computer programming, and Harvard - Oct 8, 2014.
What is the connection between Perfume, computer programming, and Harvard education? Peter Bruce explains.
edX, Harvard, Programming, Statistics.com
- Hiring Data Scientists: What to look for? - Sep 9, 2014.
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
Analytics, Big Data, Business, Data Mining, Data Scientist, Hiring, Programming, Skills, Statistics
- 9 Free Books for Learning Data Mining and Data Analysis - Apr 29, 2014.
Whether you are learning data science for the first time or refreshing your memory or catching up on latest trends, these free books will help you excel through self-study.
Alex Ivanovs, Algorithms, Analysis, Data Mining, Free ebook, Programming
