Deep Learning, NLP, NMT, AI, ML
Introduction When it comes to using Python to copy files, there are two main ways: using the shutil module or the os module. All of the os methods we show here are methods that allow us to execute shell commands from our Python code, which we’ll use to execute the copy command (Windows) or the cp command (Unix). You’ll notice that many of these methods, in both the shutil module and the os module, have very similar functionality (which shouldn’t […]
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Introduction This article is an extension to a previous article titled, Recursive Model Relationships in Django, which demonstrated a way to utilize the bare-bones Django capabilities to define database-backed Classes that model a common use-case for a recursive relationship. The use case I intend to satisfy is the common relationship between employees and managers of employees, which are also employees themselves. Evaluating the Prior Implementation The prior article defined an Employee class that translates into a database table of the […]
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Downloading files from different online resources is one of the most important and common programming tasks to perform on the web. The importance of file downloading can be highlighted by the fact that a huge number of successful applications allow users to download files. Here are just a few web application functions that require downloading files: File sharing Data mining Retrieving website code (CSS, JS, etc) Social media These are just a few of the applications that come to mind, […]
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This tutorial will give an introduction to what Python exceptions are, the most common types of exceptions, and how to handle raised exceptions with the try and except clauses. What is a Python Exception? A Python exception is a construct used to signal an important event, usually an error, that occurs when executing a program. An exception may cause the program to stop if it is not properly “caught” (i.e. handled correctly). If you think that your program might raise […]
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A linked list is one of the most common data structures used in computer science. It is also one of the simplest ones too, and is as well as fundamental to higher level structures like stacks, circular buffers, and queues. Generally speaking, a list is a collection of single data elements that are connected via references. C programmers know this as pointers. For example, a data element can consist of address data, geographical data, geometric data, routing information, or transaction […]
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TensorFlow is an open-source library for machine learning applications. It’s the Google Brain’s second generation system, after replacing the close-sourced DistBelief, and is used by Google for both research and production applications. TensorFlow applications can be written in a few languages: Python, Go, Java and C. This post is concerned about its Python version, and looks at the library’s installation, basic low-level components, and building a feed-forward neural network from scratch to perform learning on a real dataset. The training […]
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Introduction Python offers several options to run external processes and interact with the operating system. However, the methods are different for Python 2 and 3. Python 2 has several methods in the os module, which are now deprecated and replaced by the subprocess module, which is the preferred option in Python 3. Throughout this article we’ll talk about the various os and subprocess methods, how to use them, how they’re different from each other, on what version of Python they […]
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Part 1: Collecting Data From Weather Underground This is the first article of a multi-part series on using Python and Machine Learning to build models to predict weather temperatures based off data collected from Weather Underground. The series will be comprised of three different articles describing the major aspects of a Machine Learning project. The topics to be covered are: Data collection and processing (this article) Linear regression models (article 2) Neural network models (article 3) The data used in […]
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This article is a continuation of the prior article in a three part series on using Machine Learning in Python to predict weather temperatures for the city of Lincoln, Nebraska in the United States based off data collected from Weather Underground’s API services. In the first article of the series, Using Machine Learning to Predict the Weather: Part 1, I described how to extract the data from Weather Underground, parse it, and clean it. For a summary of the topics […]
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In this tutorial we are going to learn about using regular expressions in Python, including their syntax, and how to construct them using built-in Python modules. To do this we’ll cover the different operations in Python’s re module, and how to use it in your Python applications. What are Regular Expressions? Regular expressions are basically just a sequence of characters that can be used to define a search pattern for finding text. This “search engine” is embedded within the Python […]
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