Tag: Programming (79)

• 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.

  Tags: Data Science, Programming, Programming Languages, Python

• Math for Programmers - Jul 8, 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.

  Tags: Book, Manning, Mathematics, Programming

• 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.

  Tags: 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.

  Tags: 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.

  Tags: 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.

  Tags: 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.

  Tags: Best Practices, Data Scientist, Development, Jupyter, Programming

• Math for Programmers! - May 13, 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.

  Tags: Book, Manning, Mathematics, 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.

  Tags: 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.

  Tags: 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.

  Tags: 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.

  Tags: Advice, Data Science, Data Science Education, Data Visualization, Math, 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.

  Tags: 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.

  Tags: 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.

  Tags: 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.

  Tags: Deep Learning, Interpretability, NLP, Probability, Programming, Scalability, Uber

• 10 Python String Processing Tips & Tricks - Jan 20, 2020.
  
  Pursuing a text analytics path but don't know where to start? Try this string processing primer to first gain an understanding of using Python to manipulate and process strings at a basic level.

  Tags: Data Processing, Programming, Python, Text Analytics

• 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.

  Tags: Book, Manning, Mathematics, Programming

• KDnuggets™ News 20:n02, Jan 15: Top 5 Must-have Data Science Skills; Learn Machine Learning with THIS Book - Jan 15, 2020.
  
  This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques.

  Tags: Books, Data Science, Data Science Skills, Machine Learning, NLP, Programming, Python, SQL, Tips

• Learning SQL the Hard Way - Jan 8, 2020.
  
  Simply put: This post is about installing SQL, explaining SQL and running SQL.

  Tags: 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.

  Tags: Programming, Python, Tips

• Python Dictionary and Dictionary Methods - Dec 12, 2019.
  
  Check out this introduction to creating, accessing, and updating dictionaries in Python.

  Tags: Programming, Python

• Math for Programmers! - Dec 11, 2019.
  
  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.

  Tags: Book, Manning, Mathematics, Programming

• KDnuggets™ News 19:n45, Nov 27: Interpretable vs black box models; Advice for New and Junior Data Scientists - Nov 27, 2019.
  
  This week: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead; Advice for New and Junior Data Scientists; Python Tuples and Tuple Methods; Can Neural Networks Develop Attention? Google Thinks they Can; Three Methods of Data Pre-Processing for Text Classification

  Tags: Advice, Attention, Data Scientist, Machine Learning, Modeling, Neural Networks, NLP, Programming, Python, Text Classification

• Python Tuples and Tuple Methods - Nov 21, 2019.
  
  Brush up on your Python basics with this post on creating, using, and manipulating tuples.

  Tags: 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.

  Tags: 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.

  Tags: Machine Learning, Programming, Software

• Math for Programmers.. - Oct 9, 2019.
  
  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.

  Tags: Book, Manning, Mathematics, Programming

• 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.

  Tags: Data Science, Data Scientist, Programming, Python

• Learn Quantum Computing with Python and Q#, Get Programming with Python, Data Science with Python and Dask - Sep 4, 2019.
  
  Save 40% on Get Programming with Python, Data Science with Python and Dask, and Learn Quantum Computing with Python and Q# with code nlpython40.

  Tags: Dask, Manning, Programming, Python, Quantum Computing

• KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists - Sep 4, 2019.
  
  This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!

  Tags: Data Science, Data Science Skills, Deep Learning, NLP, Programming, R, Salary

• 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.

  Tags: Data Scientist, Machine Learning, Programming, Python

• Math for Programmers - Aug 19, 2019.
  
  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.

  Tags: Book, Manning, Mathematics, Programming

• KDnuggets™ News 19:n29, Aug 7: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners - Aug 7, 2019.
  
  This week on KDnuggets: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree; How a simple mix of object-oriented programming can sharpen your deep learning prototype; Can we trust AutoML to go on full autopilot?; Ten more random useful things in R you may not know about; 25 Tricks for Pandas; and much more!

  Tags: Automated Machine Learning, Cheat Sheet, Data Science, Pandas, Programming, PyTorch, R

• 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.

  Tags: 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.

  Tags: 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.

  Tags: Programming, Python, Time Series

• Math for Programmers. - Jun 7, 2019.
  
  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.

  Tags: Book, Manning, Mathematics, Programming

• 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.

  Tags: Data Science, Data Scientist, Programming, PyCharm, Python

• Mathematical programming —  Key Habit to Build Up for Advancing Data Science - May 15, 2019.
  
  We show how, by simulating the random throw of a dart, you can compute the value of pi approximately. This is a small step towards building the habit of mathematical programming, which should be a key skill in the repertoire of a budding data scientist.

  Tags: Data Science, Mathematics, Programming, 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.

  Tags: 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.

  Tags: 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.

  Tags: 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.

  Tags: 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!

  Tags: 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.

  Tags: 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.

  Tags: Jupyter, Poll, Programming, PyCharm, Python

• 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.

  Tags: Data Science, 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!

  Tags: 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

  Tags: 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?

  Tags: 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.

  Tags: 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.

  Tags: Data Science, Programming, 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!

  Tags: Cheat Sheet, Programming, Python, Text Analytics

• R Fundamentals: Building a Simple Grade Calculator - Mar 19, 2018.
  
  In this tutorial, we'll teach you the basics of R by building a simple grade calculator. While we do not assume any R-specific knowledge, you should be familiar with general programming concepts.

  Pages: 1 2

  Tags: Mathematics, Programming, R

• Introduction to Functional Programming in Python - Feb 28, 2018.
  
  Python facilitates different approaches to writing code, and while an object-oriented approach is common, an alternative and useful style of writing code is functional programming.

  Pages: 1 2

  Tags: Functional Programming, Programming, Python

• 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

  Tags: Machine Learning, Mathematics, Programming, Statsbot

• How To Become a 10x Data Scientist, part 2 - Sep 19, 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, including code design and selecting right tools for the job.

  Tags: Advice, Algorithmia, Data Science Team, Data Scientist, Data-Driven Business, Programming

• 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.

  Tags: Advice, Algorithmia, Data Science Team, Data Scientist, Data-Driven Business, Programming

• Data Scientists: What They Do and How to Become One - Aug 29, 2017.
  
  Data science is growing, and will continue to grow for the foreseeable future. Whether you are a student or an expert, here are courses to help further your knowledge of this promising field.

  Tags: Data Science, Data Science Education, edX, Microsoft, Programming, Python, UCSD

• Top /r/MachineLearning Posts, July: Friendly Suggestions re: Coding Practices; Racist AI How-To Without Really Trying - Aug 10, 2017.
  
  Why can't you guys comment your f*cking code?; Train Chrome's Trex character to play independently; How to make a racist AI without really trying; Is training a NN to mimic a closed-source library legal?; 37 Reasons why your NN is not working

  Tags: AI, Machine Learning, Neural Networks, Programming, Reddit

• 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.

  Tags: 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.

  Tags: 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.

  Tags: 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

  Tags: 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.

  Tags: Ari Lamstein, Beginners, Data Science, Monetizing, Programming, R

• Is Your Code Good Enough to Call Yourself a Data Scientist? - Oct 28, 2016.
  
  Is your code good enough to be calling yourself a Data Scientist? Figure out how to determine the answer to this question... and gain some suggestions on ensuring that the answer is "yes!"

  Tags: Data Science, ODSC, Programming

• 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.

  Tags: Programming, Qualitative Analytics, Qualitative Research, Text Analytics

• Top KDnuggets tweets, Mar 30 – Apr 05: Top 10 Essential Books for #Data Enthusiast; If Hollywood Made #Movies About #MachineLearning - Apr 6, 2016.
  
  Top 10 Essential Books for #Data Enthusiast; If Hollywood Made #Movies About #MachineLearning; Learning to Code Diminishing Returns - coders training their digital replacements.

  Tags: Books, Programming, Skiing, Top tweets

• KDnuggets™ News 15:n35, Oct 28: Data Science Machine; Programming: Python vs R; KDnuggets Addiction - Oct 28, 2015.
  
  The Data Science Machine, or 'How To Engineer Feature Engineering'; Data Science Programming: Python vs R; Cartoon: KDnuggets Addiction; How to Use Data Visualizations to Win Over Your Audience.

  Tags: Cartoon, Data Mining Books, Data Visualization, Deep Learning, Jobs, Programming, Python

• EARL2015 Conference for users, developers of R, London (Sep 14-16) and Boston (Nov 2-4) - Aug 14, 2015.
  
  The primary focus of both London and Boston Conferences is the commercial use and application of R across a broad range of business sectors.

  Tags: Boston, EARL, London, MA, Programming, R, UK

• 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.

  Tags: 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.

  Tags: edX, Harvard, Programming, Statistics.com

• COMAD India Graph Mining Programming contest - Sep 23, 2014.
  
  Compete in the graph mining programming competition at COMAD 2014 and apply your skills to finding subcommunities in networks. Registration deadline is October 15th, and code must be submitted by October 27th.

  Tags: Competition, Graph Analytics, Graph Mining, Programming

• 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.

  Tags: Analytics, Big Data, Business, Data Mining, Data Scientist, Hiring, Programming, Skills, Statistics

• New Poll: What languages you used for analytics / data mining / data science work in 2014? - Aug 6, 2014.
  
  New KDnuggets Poll is asking: What languages you used for analytics / data mining / data science work in 2014? Please vote.

  Tags: Data Mining, Data Science, Poll, Programming

• Exclusive Interview: Todd Holloway, Data Science Lead, Trulia - May 5, 2014.
  
  We discuss the responsibilities of Data Science and Analytics teams, significance of programming knowledge for data scientists, important soft skills, talent landscape in data science and more.

  Tags: Analytics, Data Science, Interview, Programming, Todd Holloway, Trulia

• 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.

  Tags: Alex Ivanovs, Algorithms, Analysis, Data Mining, Free ebook, Programming

• Wolfram Breakthrough Knowledge-based Programming Language – what it means for Data Science? - Mar 2, 2014.
  
  The coming Wolfram Programming language, 30 years in making, will probably be the largest, most comprehensive, and most knowledge-based programming language ever, and can be a significant advance for data science.

  Tags: Knowledge-Based, Programming, Raspberry Pi, Wolfram