In this article, you’ll learn about the division operators // and / in Python 2 and 3. You can check out the version in your Python script as shown here. A short visual overview of the division operator in Python 2 and 3: Assuming two integer values stored in variables a and b, there are … Read more
Introduction If you’re new to Python and have stumbled upon this question, then I invite you to read on as I discuss how to call a function from another file. You have most likely used some of Python’s built-in functions already like print() and len(). But what if you’ve defined your own function, saved it … Read more
This article introduces classes in Python, explaining what they are, their components, and why we use them. We’ll also look at some unique characteristics of classes to assist us in creating cleaner code. When I first began coding, the subject of classes in Python was a complete mystery to me. The explanations and jargon employed … Read more
Summary: Use SKLearn’s LogisticRegression Model for classification problems only. The Y variable is a category (e.g., binary [0,1]), not continuous (e.g. float numbers 3.4, 7.9). If the Y variable is non-categorical (i.e., continuous), the potential fixes are as follows. Re-examine the data. Try to encode the continuous Y variable into categories (e.g., use SKLearn’s LabelEncoder preprocessor). Re-examine … Read more
Do you want to analyze and plot the data of Bitcoin (BTC), Ethereum (ETH), Cardano (ADA) and other cryptocurrencies but you don’t know where to find a reliable data source? I had the same problem a couple of hours ago when writing a Python script to plot the relative price of altcoins versus BTC. This … Read more
Problem Formulation Given a filename and an integer n. How to read the first n lines of the file in your Python script? Here’s an overview of the solutions: Method 1: Store Head in a List of Strings To read the first n lines of a given file and store each line in a list … Read more
We live in a world that relies on data, massive amounts of data. This data is used in many areas of business, for example: Marketing & sales Competition research Lead generation Content aggregation Monitoring consumer sentiment Data Analytics and Data science AI Machine learning Real Estate Product and price data Much of this data is … Read more
Problem Formulation Given a JSON object stored in a file named “your_file.json” such as a list of dictionaries. 💬 How to append data such as a new dictionary to it? # File “your_file.json” (BEFORE) [{“alice”: 24, “bob”: 27}] # New entry: {“carl”: 33} # File “your_file.json” (AFTER) [{“alice”: 24, “bob”: 27}, {“carl”: 33}] Method 1: … Read more
Problem Formulation Given a TensorFlow variable created with tf.Variable(). As this variable may have changed during the training process (e.g., using assign()), you want to get the current value of it. How to accomplish this in TensorFlow? Sessions Are Gone in TensorFlow 2 In TensorFlow 1, computations were performed within Sessions. That’s why many people … Read more
This article deals with signal processing. More precisely, it shows how to smooth a data set that presents some fluctuations, in order to obtain a resulting signal that is more understandable and easier to be analyzed. In order to smooth a data set, we need to use a filter, i.e. a mathematical procedure that allows … Read more
Scikit-learn has a library of transformers to preprocess a data set. These transformers clean, generate, reduce or expand the feature representation of the data set. These transformers provide the fit(), transform() and fit_transform() methods. The fit() method identifies and learns the model parameters from a training data set. For example, standard deviation and mean for … Read more
Problem Formulation Given an integer number n. Get all divisors c of the number n so that c * i = n for another integer i. The desired output format is a list of integers (divisors). Here are a couple of examples: n = 10 # Output: [1, 2, 5, 10] n = 13 # … Read more