Online coding course

                      Online coding Platform ???

   

There was a time when knowing how to program was for the geekiest of geeks. That’s not exactly the case today. As most entrepreneurs, freelancers and marketers will tell you, learning how to program can help you succeed. Over the past year, I've been learning to code. It's helped me to become a much better entrepreneur: I can dive in, for instance, when my team needs to fix a few bugs on the site. 

You don’t even need to shell out a ton of money or put yourself in debt to learn how to code, either. These 12 places offer coding courses for free

1. Codeacademy

One of the most popular free places to learn to code is Codeacademy. In fact, more than 45 million people have already learned how to code through this educational company’s engaging experience. At CodeAcademy, you can dive right in and take courses that teach you everything from HTML & CSS, JavaScript, and SQL to  Bash/Shell, Python, Ruby and C++.

2. Coursera

Founded in 2012, Coursera has grown into a major for-profit educational-technology company that has offered more than 1,000 courses from 119 institutions. While you can pay for certain programs to receive a certificate, there are a number of free introductory programming courses in various specializations from universities such as the University of Washington, Stanford, the University of Toronto and Vanderbilt.

3. edX

edx is another leading online-learning platform that is open source instead of for-profit. It was founded by Harvard University and MIT in 2012, so you know that you’ll learn about cutting-edge technologies and theories. Today, edX includes 53 schools

4. Udemy

Udemy is an online learning platform that can be used as a way to improve or learn job skills. While there are courses you have to pay for, there are plenty of free programming courses, which are taught via video lessons, such as Programming for Entrepreneurs -- teaching Django- the #1 Python Frameworks, APIs, HTML, CSS, + Payments.

5. AGupieWare

AGupieWare is an independent app developer that surveyed computer-science programs from some of the leading institutions in the U.S. It then created a similar curriculum based on the free courses offered by Stanford, MIT, Carnegie Mellon, Berkeley, and Columbia. The program was then broken into 15 courses: three introductory classes, seven core classes and five electives.

While you won’t actually receive academic credit, this is a perfect introductory program for prospective computer programmers.

6. GitHub

Sometimes, you need to recall a reference book when you’re stuck on a problem. That's GitHub, where the site says, over 31 million developers collaborate to host and review code, manage projects, and build software together. Many programming languages are used here and a Coding Camp teaches the basics.

7. MIT Open Courseware

If you’ve already learned the basics, and want to get into something a bit heavier -- such as exploring the theory behind coding -- you can take advantage of MIT’s free courseware site, which includes classes such as Introduction to Computer Science and Programming in Python, and language-specific courses like Java, MatLab and C and C++.

8. Hack.pledge()

This is a community of developers, which include some high-profile developers such as Bram Cohen, the inventor of BitTorrent. Here, you can perfect your programming skills by learning from some of the leading developers in the world.

9. Code Avengers

Based out of New Zealand, Code Avengers provides a fun and interactive programming lessons for kids 5 to 14; for schoolteachers wanting to teach coding; for people going into coding professionally; and for creators ages 15 and up. Also offered are one- to three-day "code camps" for students up to 17. These day camps are located in multiple states -- and foreign countries.

Courses focus on game design, C++, HTML, Python and more and they're available in multiple languages.

10. Khan Academy

Created in 2006 by educator Salman Khan, Khan Academy is one of the original free online-learning institutions. With step-by-step video tutorials, you can learn how to program drawings, animations, and games using JavaScript and processing, or learn how to create webpages with HTML and CSS. See, especially, Khan's "Hour of Code," designed to introduce students to one hour of computer science and computer programming.

11. Web Fundamentals

This Google project for web developers launched in 2010 to counter Apple’s HTML5. The site is full of tutorials, resources, and the latest HTML5 updates. It’s open-source, so developers can play around with HTML5 code. Because this site's offerings are more advanced than most introductory courses, you'll need some knowledge and experience before jumping in.

Top Programing Language

Most Popular Programming Language 2020

Programming Languages are the set of commands which make the user-defined operation has to be done In the world which is going to be full of automation, it is necessary to learn Programming Language. For beginners programming languages like Python and Ruby

Programing Language is basically used to solve a real-world problem.

 On average today there are about 500 to 700 Programming Languages.
In which every language has its own specification and use in industry where some of them are outdated and to handle different operation we use some of the Most popular and powerful languages which are mentioned below.

as well I have suggested some of the books which will be helpful for beginners as well as a learner so you can go through the image links which are mentioned below the article

Programming Languages:

1. Julia
2. SQL
3. Scala
4. R
5. Python
6. Java
7. Matlab
8. TensorFlow

1. Julia

Julia is a high-level dynamic Programming Language designed to address the needs of high-performance numerical analysis, and Scientific Computing is rapidly gaining popularity amongst the data scientists. It is a newer language, also capable of general-purpose programming as well and hasn’t been around as long as R or Python.

Due to its faster execution, Julia has become a perfect choice for dealing with complex projects containing high volume data sets. For many basic benchmarks 

Julia Programming Language Is Faster runs 30 times quicker than Python and regularly runs somewhat quicker than C code. If you like Python’s Programming Language syntax while you have a massive amount of data, then Julia is the next programming language to learn.

A joint effort between Jupyter and Julia communities, it gives a fantastic program based graphical notebook interface to Julia. People, who are searching for the best performance parallel computing language focused on numerical computing, Julia is a perfect language for them.

2. SQL

SQL (Structured Query Language) is one of the most popular amongst the Data Science field. It is used well for querying and editing the information stored in rdbms(Relational DataBase). And also, mainly used for storing and retrieving data for decades. It is used in managing particularly large databases, reducing the turnaround time for online requests by its fast processing time. Having SQL skills can be the biggest asset for Machine Learning and Data Science professionals, as SQL is the most preferred skill set for all the organizations.

3. Scala

Scala (scalable language) is one of the best-known languages with one of the largest user bases. It is a general-purpose, open-source programming language that runs on the JVM(Java Virtual Machine). Scala is an ideal choice of language for those working with high-volume data sets and has full support for Functional Programming and a strong static type system.

Since it was developed to run on the JVM, it allows interoperability with the Java itself, making Scala a very great general Programming language, while also being a perfect option for data science.
Cluster computing framework Apache Spark is written in Scala. If you want to juggle your data in a thousand processor cluster and have a pile of legacy Java code, then Scala is an incredible open-source solution.

4. R

It is one of the most often used tools. R Programming Language is an open-source language and software environment for statistical computing and graphics, supported by the R Foundation for Statistical Computing. These skill sets have high demand across recruiters in Machine Learning and Data Science.

R provides many statistical models, and numerous analysts have composed their applications in R.  It is the topper of open statistical analysis, and there is a clear focus on statistical models which have been composed utilizing R. The public R package archive, contains more than 8,000 networks contributed packages. Microsoft, RStudio, and various organizations give business support to R-based computing.

5. Python:-

Python Programming Language is an extremely popular general-purpose, dynamic, and is a widely used language within the data science community. It is commonly referred to as the easiest programming language to read and to learn. Since it combines quick improvement with the capacity to interface with high-performance algorithms written in Fortran or C, it has become the leading programming language for open data science.

With the advancement of technologies such as Artificial Intelligence, machine learning, and predictive analytics, the demand for experts with Python skills is rising significantly. It is widely used in web development, scientific computing, data mining, and others.

6. Java

Java is an extremely popular, general-purpose language that runs on the Java Virtual Machine (JVM). Many numbers of organizations, particularly MNC organizations use this language to create backend systems and desktop/mobile/web applications. It is an Oracle-supported unique computing system that empowers portability between platforms.

7. MATLAB

Matlab is developed and licensed by MathWorks. It is a quick, stable and ensures solid algorithms for numerical computing language used entire academia and industry. Considered to be a well-suited language for mathematicians and scientists dealing with sophisticated mathematical needs such as Fourier transforms, signal processing, image processing, and matrix algebra.

MATLAB widely used in statistical analysis such as applications or day-to-day roles requires intensive, advanced functionality in mathematical makes it a serious option for data science.

8. TensorFlow

TensorFlow is an excellent open-source software library for numerical computation. It is a machine learning framework suitable for large-scale data. It works on the basic concept. For instance, if you want to perform a graph of computations in Python, once you defined, then TensorFlow will run it by utilizing a set of tuned C++ code.

One of the most significant advantages of TensorFlow is that the graph can be broken into many chunks that can keep running in parallel over various GPUs or CPUs. And also supports distributed computing; thus, you will be able to train huge neural networks on immense training sets in a short time.

TensorFlow is the second generation system from Google Brain.  It powers a large number of Google’s large-scale services, like Google Search, Google Photos and Google Cloud Speech.

So these are a list of Programming Languages which you can learn in 2020.

Here friends good news for you I have my GitHub account where I post lots of small code block which you can customize and run on your machine if you have any doubt regarding that do comment I will always try to help you out

here is link Github account

if you like my blog so do follow and share it will be helpful for me. and Thank you for helping me

Staying updated you can join our whats app group