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Showing posts from August, 2018

Python for Beginners

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About this Course See why over 350,000 Simpliv members learn coding from Mark Lassoff and LearnToProgram.tv! Few  programming languages  provide you with the flexibility and pure power of Python. If you’re becoming a professional developer, or are early in your development career, adding the Python skill set isn’t just a resume embellishment. It’s an empowering language that will allow you to write procedural code in many types of environments and for many uses. Python is commonly used for server side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger ecommerce systems. That being said, it’s also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming. Watch, Learn and Do P...

Image Processing Applications on Raspberry Pi

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Image Processing Applications on  Raspberry Pi is a beginner course  on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero. The course is ideal for those who are new to the Raspberry Pi and want to explore more about it. You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands,  Python programming and building Image Processing applications on Raspberry Pi. This course will take beginners without any coding skills to a level where they can write their own programs. Basics of Python programming language are well covered in the course. Building Image Processing applications are taught in the simplest manner which is easy to understand. Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users wil...

Machine Learning, NLP & Python-Cut to the Chase

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Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided. Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a down-to-earth, shy but confident take on  machine learning techniques that you can put to work today Let’s parse that. The course is down-to-earth : it makes everything as simple as possible – but not simpler The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff. You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won’t tell you what the carburetor is. The course is very visua...

Easy to Advanced Data Structures

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Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding  data structures. Learn and master the most common data structures in this comprehensive course: Static and dynamic arrays Singly and doubly linked lists Stacks Queues Heaps/Priority Queues Binary Trees/Binary Search Trees Union find/Disjoint Set Hash tables Fenwick trees AVL trees Course contents This course provides you with high quality animated videos explaining a multitude of data structures and how they are represented visually. You will learn how to code various data structures together with simple to follow step-by-step instructions. Every data structure presented will be accompanied by some working source ...

Top code and framework trends to watch in 2018

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Like most years, 2017 was full of change for developers. But for some ecosystems, the year was extremely busy. Heck, even C++ (a language that has updated its standard only three times since 1998)  released a new standard version  in 2017. This never-ending churn is why it’s important to review the major changes from the past year and get a sense of what’s coming down the pike. To help you review the various ecosystem changes that happened last year and get ahead of the curve on the trends for 2018, TechBeacon interviewed experts in architecture, microservices,  data science ,  Java ,  JavaScript , and Android. Here’s what we learned. Expect a greater focus on evolutionary architecture and microservices data distribution “Evolutionary architecture and automation of architectural governance and analysis are going to be a major focus for software firms in 2018,” said Mark Richards, author of  Software Arc...

TOP Software Development Trends to Watch for in 2018

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Something that was all the rage last year, might not even be talked about now. Things change and fade away rapidly—all because of advancements in technology. This also is seen in trends for software development as well. The year 2017 witnessed some great breakthroughs in this field and 2018 has already whispered the emergence of trends in software development ranging from cryptocurrency, augmented, virtual and mixed reality to oil rigs, mobile computing, artificial intelligence, and blockchain. As of now, enthusiasts are assuming 2018 will be an exciting and important year for innovative advancements in software and application developers will play a fundamental role in every domain. Let us look at the 5 software development trends that will shape the world for future generations. 1.The Shining Star – Blockchain Do not get confused it with astrological findings. Blockchain is the technology that has shined in 2017 because of the Bitcoin hype. It is believed that blockchain will...