3044 Software Development courses

Master LINQ to entities, LINQ to objects, LINQ to XML, functional programming relying on LINQ

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

This is a hands-on course that comes packed with source code ready for you to use through the lessons. The objective of this course is to guide you through the essentials of HTML5 Canvas drawing and how it works. You must have prior coding experience in JavaScript and HTML and familiarity with web development before getting started with this course.

Learn actionable steps to launch a successful career as a freelance web developer with the help of an experienced professional

Master frontend web development using HTML, CSS, CSS Flexbox, CSS Grid, and JavaScript

Discover the fascinating world of decentralized trading with Python and DYDX. Build a sophisticated trading bot, harness statistical arbitrage techniques, and automate your trading strategies on the AWS cloud. Gain the skills to navigate the cryptocurrency market and achieve consistent profitability in this comprehensive and hands-on course.

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.

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