Let get some more advanced python techniques, tools, libraries. Python coding style It is quite common for beginner to skip the coding style and conventions in any programming language. But when you have a chance to revisit your code or others’ code, you will soon recognise how important of following coding conventions. To learn more, you can visit PEP 8 — Style guide for Python code...
Advanced Keras – Custom loss functions
When working on machine learning problems, sometimes you want to construct your own custom loss function(s). This article will introduce abstract Keras backend for that purpose. Keras loss functions From Keras loss documentation, there are several built-in loss functions, e.g. mean_absolute_percentage_error, cosine_proximity, kullback_leibler_divergence etc. When compiling a Keras model, we often...
Create and distribute your python package
This is a quick guide for create and generate distribution package of your python project so that others can install, import and use in their projects. Prerequisites: You will need the following tools installed in your computer: Python (2.x/3.x)PipAPI key for uploading your package to distribution platform, such as test.pypi.org. After install python, you can install pip by using: curl -o get-pip...
Optimization: Gradient descent with python
Gradient descent implementation with python on a classification problems
the Mobile Testing Maze: AMaestro & Appium Frameworks
In the age of ubiquitous mobile apps, ensuring their quality and functionality across diverse devices and platforms is crucial. Manual testing, while essential, can be time-consuming and prone to human error.expand_more Enter mobile automation testing frameworks, your allies in streamlining the process and delivering exceptional user experiences. However, choosing the right framework amidst a...