#goprogramminglanguage

Go is a programming language used for web development, database development, system programming, and DevOps. Go is used by popular companies like Google, Netflix, Salesforce, IBM, Target, Twitter, Uber, and other leading organizations. And it turns out, Go is also the most sought-after language among developers. For custom software development services, contact us: https://bit.ly/3gEq68h

Data Science is the hottest job around the globe and is fast gaining traction among millennials and Gen Z. It is also one of the highest-paying jobs in the industry. Currently, foreign universities and institutes are rolling out data science and analytics undergraduate and graduate programs in order to churn out a steady stream of job-ready professionals.  But before applying for MS in the US, UK or Canada, there is a set of criteria candidates need to fulfill in order to make the cut. These are the entry requirements that are set by these universities.  For example, the University of Edinburgh’s Business School expects incoming students for MSc Analytics to have a strong background in linear algebra, calculus, probability, statistics, and computer programming. In a similar vein, Data Science Institute of Columbia University New York expects applicants of MS in Data Science and Certification of Professional Achievement to have a clear understanding of linear algebra, probability, statistics, Python, Java, C+, among others. As the competition for making the cut in foreign universities intensifies, students need to factor in more than just their GRE scores to get admissions in top-ranking universities.  In this article, we list down entry requirements of foreign universities look for MS applicants:  1| Statistical And Mathematical Knowledge When you are making an investment of $60k USD, you need a strong stats/Math background to survive in the MS. The statistical and mathematical background is a must if one wishes to pursue a career in data science and analytics. Before joining the data science course at a university, one can prepare for the core concepts of data science which are linear algebra, calculus, probability, and statistics. While learning machine learning models at the university, it will be easier for you to understand the concepts of conditional probability, priors and posteriors, and maximum likelihood. 2| Build Data Intuition Before joining any institute, one can participate in predictive modelling competitions. There’s Predictive Modeling -NMIMS Competition in Kaggle which will help in understanding the data modelling process and also hone their skills. This will push you ahead in your data science and analytics career. Online courses are available where one can learn how to prepare for these competitions. Building intuition about the data from Coursera is one such example. 3| Knowledge of Algorithms Whether it is the algorithms of data structure or the basic algorithms of machine learning, students are expected to have a basic knowledge of these algorithms. For instance, one must have an understanding of the notations  — the best and worst cases of data structure algorithms which shows how quickly or slowly an algorithm runs, the pseudocodes of machine learning algorithms and its working process, etc. An understanding of these details will help you to stay ahead in your journey. 4| Strong Programming Skills This is an important skill and a strong knowledge of programming language is very important for doing all computational problems. A good starting point is Python, dubbed as the most popular ML programming language.  5| Knowledge of Tools Along with an understanding of statistics and programming languages, knowledge of important tools which are being widely used in the data science projects and statistical operations are a plus for someone who wants to put a solid grip in this domain. Some of the top data science tools are Apache Spark, BigML, Tableau, Jupyter, Matplotlib, ScikitLearn,  Natural Language Toolkit (NLTK), Weka, TensorFlow, Pandas, ggplot, among others. Outlook To the fact, the admissions are getting tougher and eligibility criteria are racked up. It's not just a GRE/GMAT score, grades or work experience that counts nowadays, skills like intuitive, communications, quantitative, among others are also being counted in order to get admitted into a renowned institution.    Read the full article

Understand the basic syntax and control structures of the language Apply Go's concurrency model to build massively parallel systems Grasp the purpose of types, which is especially important if you're coming from a dynamically typed language like Javascript or Ruby Organize code through the use of packages Use the Go runtime to build and compile projects Get insight into critical design decisions in the language Gain a sense of when to use basic language features   Go is one of the fastest-growing programming languages released in the last ten years. Get job-ready with Go today by enrolling now! Who this course is for: Anyone who wants to understand the fundamental features of Go Who is the target audience? Anyone who wants to understand the fundamental features of Go Course content of Go: The Complete Developer's Guide (Golang): Total Lecture:97 How to Get Help Link to Completed Code Environment Setup VSCode Installation Go Support in VSCode Boring Ol' Hello World Five Important Questions Go Packages Import Statements File Organization Test Your Knowledge: Packages How to Access Course Diagrams Project Overview New Project Folder Variable Declarations Test Your Knowledge: Variable Assignment Functions and Return Types Test Your Knowledge: Functions Slices and For Loops Test Your Knowledge: Slices and For Loops OO Approach vs Go Approach Custom Type Declarations Receiver Functions Test Your Knowledge: Functions with Receivers Creating a New Deck Slice Range Syntax Multiple Return Values Test Your Knowledge: Multiple Return Values Byte Slices Deck to String Joining a Slice of Strings Saving Data to the Hard Drive Reading From the Hard Drive Error Handling Shuffling a Deck Random Number Generation Testing With Go Writing Useful Tests Asserting Elements in a Slice Testing File IO Project Review Even and Odd Structs in Go Defining Structs Declaring Structs Updating Struct Values Embedding Structs Structs with Receiver Functions Pass By Value Structs with Pointers Pointer Operations Pointer Shortcut Gotchas With Pointers Test Your Knowledge: Pointers Reference vs Value Types Test Your Knowledge: Value vs Reference Types What's a Map? Manipulating Maps Iterating Over Maps Differences Between Maps and Structs Test Your Knowledge: Maps Purpose of Interfaces Problems Without Interfaces Interfaces in Practice Rules of Interfaces Extra Interface Notes The HTTP Package Reading the Docs More Interface Syntax Interface Review The Reader Interface More on the Reader Interface Working with the Read Function The Writer Interface The io.Copy Function The Implementation of io.Copy A Custom Writer Test Your Knowledge: Interfaces Interfaces Hard Mode Interfaces Website Status Checker Printing Site Status Serial Link Checking Go Routines Theory of Go Routines Channels Channel Implementation Blocking Channels Receiving Messages Repeating Routines Alternative Loop Syntax Sleeping a Routine Function Literals Channels Gotcha! Channels and Go Routines Bonus! None Go: The Complete Developer's Guide (Golang) course Do you like this course? Please buy: https://www.udemy.com/go-the-complete-developers-guide/. Read the full article