Nimble Coding - Python and Data Science Guides and Tutorials

Standard Deviation with Mean Example

Aug 17, 2020

A beginner's guide to finding the population Standard Deviation and Variance using the mean with a simple example.

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Applied Data Science with Python UM Specialization

May 18, 2020

Considering a MOOC to take your data science skills to the next level? Here's my experience completing the University of Michigan's Applied Data Science with Python Specialization through Coursera.

Walk-Through: Number Guessing Game in Python

May 11, 2019

Learn how to make a simple Number Guessing Game in Python using functions, while loops, and if statements. This is a great project for beginners!

Python List Comprehensions Made Simple

Jan 05, 2020

A gentle introduction to list comprehensions. Understanding list comprehensions is an important stepping stone for anyone hoping to break into an intermediate understanding of Python.

Setting up a Twitter Developer Account

Oct 22, 2019

A step-by-step guide on how to apply for a Twitter developer account. A developer account grants access to Twitter's powerful API.

The Kanban Board

Apr 15, 2019

Learn how to organize yourself and your projects using Kanban Boards!

Evaluation Metrics: Accuracy, Precision, Recall, and F1 Score

Jul 29, 2019

Learn how to increase and understand model performance with Accuracy, Precision, Recall, and F1 Score!

Breaking Down Bayes' Theorem

Jun 17, 2019

Bayes' Theorem is the foundation of Bayesian Statistics commonly used in Data Science and Machine Learning! Read more about how it works here!

The Pomodoro Technique

Apr 11, 2019

Learn how to use the Pomodoro Technique to cut through procrastination!

Handling NaN in Pandas

Sep 16, 2019

Almost all data projects involve missing or unknown values. Learn all you need to know about handling these values (NaN) in Pandas.

Intro to Cross-Validation: Holdout and k-Fold

Aug 19, 2019

Learn why you should be using Cross-Validation and how to incorporate it into your next project using either the Holdout or k-Fold method!

The Trial and Error Loop

Jun 03, 2019

Learn to try new things and view mistakes as a positive step in the learning process.

Predicting Tweet Author with Naive Bayes

Jul 15, 2019

In this project, we'll use the Twitter API and Naive Bayes to predict whether a newly presented Tweet was authored by Barack Obama or Donald Trump.

My 5 Beginner Programming Projects

May 01, 2019

Read brief descriptions of 5 projects I undertook when first learning how to code.

Histograms

Aug 26, 2019

Histograms make visualizing important aspects of our data simple. Discover how to read and interpret the insight they provide!

The Data Mining Process (CRISP-DM)

Nov 16, 2019

Learn how to structure your data science project from start to finish using the Cross-Industry Standard Process for Data Mining (CRISP-DM).

A Lesson from Newton

Jul 01, 2019

Do you often experience a lack of motivation? Read this post to discover possible reasons why and what you can do to begin increasing your motivation.

Dependent and Independent Events

Sep 16, 2019

In the study of Probability, there are hardly two concepts more fundamental than Event Independence and Event Dependence. In spite of this, these concepts are often greatly misunderstood.

Confusion Matrices and Type Errors

Aug 05, 2019

Learn about the different machine learning model type errors and how to quickly visualize them in a simple to understand matrix.

Three Essential Steps for Aspiring Programmers

May 27, 2019

Consider these three things if you're trying to land that dream developer job.

The First Puzzle Piece: Why I Started Programming

May 20, 2019

Get to know a little more about me and what first attracted me to programming.

Histograms in Python

Sep 02, 2019

Learn how to generate your own Histograms using Python's powerful visualization library, Matplotlib!

SMART Goals and Accountability

Jun 24, 2019

Learn the value of setting SMART goals and taking advantage of an accountability group.

Eating an Elephant

Jul 25, 2019

Learn how to break enormous goals down into manageable bite-sized bits!

Method Stacking: Kanban + Pomodoro

Apr 29, 2019

Discover the power of combining the Pomodoro Technique with a Kanban Board!

Overfitting and Underfitting Models

Aug 08, 2019

Learn what it means to have an overfit and underfit model and how to find the "sweet spot" between the two.

Persistence: the Key to Your Potential

Jun 10, 2019

Learn more about the single skill that makes or breaks every developer.

Counting Permutations

Jul 22, 2019

How many unique ways can you arrange a set of items? Find out how to easily calculate this figure as we study the math behind Permutations.

Box Plots Explained

Dec 01, 2019

Learn how to visualize data distributions effectively! This post takes a gentle dive into boxplots and quartiles.

Python's @property Decorator

Jun 08, 2020

Read about Python decorators while exploring Pythonic methods for creating getters and setters using the @property decorator.

Add, Rename, and Delete Columns in Pandas

Jul 27, 2020

The ultimate beginner's guide to adding, renaming, and deleting columns in the popular Python library, Pandas!

Python Convert List to String

Aug 03, 2020

How to convert Python lists into strings. Read everything you need to know about using the str.join() method to convert lists to strings!

How to Use Python's Enumerate Function

Jul 13, 2020

All you need to know to take your Python skills to the next level with the powerful enumerate function. See examples and peek under the hood to see what is actually happening when you call enumerate().

Standard Deviation with Mean Example

Aug 17, 2020

A beginner's guide to finding the population Standard Deviation and Variance using the mean with a simple example.

Lexical Complexity Using Semantics Research Paper

May 25, 2020

Discover a fast, flexible, and intuitive algorithm for assessing the lexical complexity of a text.

Introduction to SQL Joins

Jun 01, 2020

Your one-stop-shop introduction to SQL Joins. Learn how to connect critical related data by querying data across multiple tables.

Python Crash Course Review

Jul 20, 2020

Whether you're an absolute beginner to programming, looking for a quick way to learn the basics of the Python language, or an intermediate Pythonista looking to explore additional applications of Python programming using special libraries and frameworks, this book is perfect for you.