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Python programming: Our new tool can help clean up your buggy code, says AWS


Amazon Web Services (AWS) has said that its automated code review tool, which aims to improve source code quality by detecting hard-to-find defects, now has updated support for the Python programming language. AWS launched Python support for Amazon CodeGuru Reviewer in December and has now moved support for the language to general availability. As most developers and people working in data science know, Python is one of the most popular languages thanks to its gentle learning curve and the abundance of add-on packages for specific scientific computing applications, like like NumPy and SciPy. Amazon CodeGuru Reviewer uses AWS' machine learning algorithms to find bugs during application development. The cost of code can add up particularly when a developer who wrote the code has left an organization and current developers, who might not understand the structure of the original code, have troubles maintaining or updating the code.

101 GitHub Repos - Absolute List Of Useful Repos


This is a list that I compiled over the years, it contains everything I found to be useful or interesting. There is no special categorization, it flows a bit to JS side but there little bit of everything. Please feel free to comment and add your favorite repos. Rough.js is a small ( 9 kB) graphics library that lets you draw in a sketchy, hand-drawn-like, style. The library defines primitives to draw lines, curves, arcs, polygons, circles, and ellipses.

Applications of Python


Python is a simple, open-source and object-oriented coding language. It is one of the programming languages that are easy to learn as it is a dynamic type, high-level, and interpreted coding language. This is also used for debugging of errors and motivate for instant growth of application prototypes and using it as a language to program with. Python programming language was originated by Guido Van Rossum in 1989 which is based on the DRY (Do not Repeat Yourself) principle. This blog will provide you the various uses of Python that help you to understand where one can easily implement the Python programming language and execute it in different sectors.



The OSSU curriculum is a complete education in computer science using online materials. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners. It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria. When no course meets the above criteria, the coursework is supplemented with a book.

12 Weekend Coding projects for beginners from scratch


Programming languages are the building blocks for communicating instructions to machines, without them the technology driven world we live in today wouldn't exist. Programming can be fun as well as challenging. Java is a general purpose high-level, object-oriented programming language. Java is one of the most commonly used languages for developing and delivering content on the web. An estimated nine million Java developers use it and more than three billion mobile phones run it.

All the Skills Require For A Data Scientist


Knowledge of Programming Language: A data scientist needs to have some basic programming knowledge. There are many programming language like Python, R, Java and many more. But the best one to go is Python or R. Because there are a huge libraries in these two. Knowledge of Statistics: A data scientist must have knowledge in statistics. Because statistics plays an important role in data science.

Learn Complete Python 3 GUI using Tkinter


Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. As of today, it is the most preferred language for Artificial Intelligence, Robotics, Web Development and DevOps. Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications.

5 Software Development Trends To Embrace in 2021


In many ways, 2020 feels like a lost year. Remote work and no travel have taken a toll on the best of us. The pandemic has forced a lot of businesses to have an online presence in one way or another. Software development services have never been more important to businesses. This is why it is so important to be in the loop of the current trends taking place in the industry.

Complete C++ Scientific Programming


The'Scientific Programming with C ' is easiest and the most innovative and complete hands-on practical C course on the Udemy Platform for learning scientific and research data programming! While languages like Python and R are increasingly popular for Scientific Programming or Data sciences, C/ C can be a stronger choice for efficient and effective data and scientific computing. The focus of this course lies on learning beginner to advanced programming on high-performance computers, object-oriented software design, generic or template-based programming, and the efficient implementation of numerical algorithms. C is the best choice for efficient and effective programming in Research Data mining & Scientific Computing. Learn from the basics of C to the advanced and useful libraries like STL, BOOST, OpenMP and MPI! Main learning goals in this awesome course can be formulated as: The focus of this course lies on aspects of software development like programming on high-performance computers, object-oriented software design, generic (template-based) programming, and the efficient implementation of numerical algorithms.

Why Computers Won't Make Themselves Smarter

The New Yorker

In the eleventh century, St. Anselm of Canterbury proposed an argument for the existence of God that went roughly like this: God is, by definition, the greatest being that we can imagine; a God that doesn't exist is clearly not as great as a God that does exist; ergo, God must exist. This is known as the ontological argument, and there are enough people who find it convincing that it's still being discussed, nearly a thousand years later. Some critics of the ontological argument contend that it essentially defines a being into existence, and that that is not how definitions work. God isn't the only being that people have tried to argue into existence. "Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever," the mathematician Irving John Good wrote, in 1965: Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an "intelligence explosion," and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.