Staying Productive as a Software Developer

Imagine getting more stuff done, more effectively, in less time. | Continue reading


@datastuff.tech | 3 years ago

Programming 101: Books to Start Coding

Programming books can help you level up as a Developer, especially when you are getting started in Software Development or learning a new language. | Continue reading


@datastuff.tech | 3 years ago

Feature Visualization on Convolutional Neural Networks (My Results)

Feature Visualization is a way to interpret what each filter is doing in a Convolutional Neural Network, and which kinds of images it is learning to detect. | Continue reading


@datastuff.tech | 3 years ago

Shell Productivity Tips and Tricks

In this bash tutorial, we'll solve problems that require interaction with files or strings, and can be done more easily from the Terminal. | Continue reading


@datastuff.tech | 4 years ago

Programming Books for Beginners to Read During Lockdown

Programming books can help you level up as a Developer, especially when you are getting started in Software Development or learning a new language. | Continue reading


@datastuff.tech | 4 years ago

How to Easily Run Parallel Data Analysis in Python Using Dask Dataframes

Sometimes you open a big Dataset with Python’s Pandas, try to get a few metrics, and the whole thing just freezes horribly. Dask Dataframes may solve your problem. | Continue reading


@datastuff.tech | 4 years ago

How to Start Using the Shell and Be More Productive

As developers, the terminal can be our second home. Have you never used it? Do you wonder what the point is? Here are the most common, useful commands. | Continue reading


@datastuff.tech | 4 years ago

How to Scrape the Web Using Python's ScraPy Framework (Scraping Reddit)

Scraping a website with Python can help you get data, and using the ScraPy framework makes it easier. Here's how you can get started with Web Scraping now! | Continue reading


@datastuff.tech | 4 years ago

Shell 101: Handling Files and Strings from the Terminal

In this shell tutorial, we'll deal with tasks that require interaction with files or strings, and can be done more easily from the Terminal. | Continue reading


@datastuff.tech | 4 years ago

Vim 102: Vim Features That Will Make You More Productive

Learn how to copy and paste from multiple clipboards using the magic of Vim registers! Also featured: how to edit several files with a single vim instance. | Continue reading


@datastuff.tech | 4 years ago

Markov Chains: Training AI to Write Game of Thrones

Markov Chains for Text Generation tutorial with Python examples. Let's take them out for a ride on using Game of Thrones' corpus. | Continue reading


@datastuff.tech | 4 years ago

Vim 101: How to Start Using the Text Editor for Developers

Let me introduce you to this picturesque text editor and its wonders, and show you why we’re still using it 26 years after its first release. | Continue reading


@datastuff.tech | 4 years ago

How to Code MapReduce in C from Scratch Using Threads: Map

Hadoop's MapReduce is not just a Framework, it's also a problem-solving philosophy. Let's see if we can code it from scratch in C! | Continue reading


@datastuff.tech | 4 years ago

Why Do Neural Networks Need an Activation Function?

Neural Networks have a lot of interconnected layers, each of them with an Activation Function. But why is this necessary? What are Activation Functions for? | Continue reading


@datastuff.tech | 4 years ago

LSTM: How to Train Neural Networks to Write Like Lovecraft

Today, I'll teach you how to train LSTM Neural Networks for text generation, to see if they can write with H. P. Lovecraft's style. | Continue reading


@datastuff.tech | 4 years ago

Probability Distributions Every Data Scientist Should Know

Probability Distributions are like 3D glasses. They allow the skilled Data Scientist to recognize patterns in otherwise completely random variables. | Continue reading


@datastuff.tech | 4 years ago

Convolutional Neural Networks: Introduction (TensorFlow Eager API)

Today we'll train Convolutional Neural Networks to tell us whether an image contains a dog or a cat, using TensorFlow's eager API. | Continue reading


@datastuff.tech | 4 years ago

K-Means Clustering with Dask (Image Filters for Cat Pictures)

Let's try out a fun use for K-Means Clustering: Applying filters to pictures to reduce their amount of colors and make them 120% cooler! | Continue reading


@datastuff.tech | 4 years ago

My First 1000 Medium Followers: A Tech Writing Journey

Are you wondering how to get Medium followers for your tech blog? Do you worry your content isn't reaching enough people? This piece is for you. | Continue reading


@datastuff.tech | 5 years ago

Machine Learning Books That Helped Me Level Up

I'll give you a very short list: just 3 Machine Learning books that helped me immensely in my career as a Data Scientist. | Continue reading


@datastuff.tech | 5 years ago

XGBoost: Predicting Life Expectancy with Supervised Learning

Today we'll use XGBoost Boosted Trees for regression over an official HDI dataset. Who said Supervised Learning was all about classification? | Continue reading


@datastuff.tech | 5 years ago

Exploratory Data Analysis by Example: Pandas Framework on a Kaggle Dataset

Today we’ll leverage Python’s Pandas framework for Data Analysis, and Seaborn for Data Visualization. | Continue reading


@datastuff.tech | 5 years ago

Results of Applying K-Means Clustering to Magic: The Gathering

This project combines two of my passions: Magic: The Gathering and Machine Learning. Let's see how they mix with this recommender system! | Continue reading


@datastuff.tech | 5 years ago