LFX Mentorship Applications are now open

Introduction:

The LFX Mentorship Program turned out to be a transformative expedition in my professional voyage. The initiative provided an avenue to immerse myself in the realm of open-source development, while also offering a chance to expand my skill set and connect with a vibrant community of like-minded developers. My involvement with the Open Horizon project during the program not only deepened my understanding of cloud computing and development workflows but also boosted my confidence and set my career on an upward trajectory.

Hands-On Exploration:

Within the confines of the LFX Mentorship Program, I was fortunate to contribute to the Open Horizon project—an endeavor that delved into the intriguing world of edge computing. This venture allowed me to explore the intricacies of cloud computing, providing an opportunity to dissect the finer details of this innovative technology. My hands-on involvement with the project introduced me to the nuances of development pipelines and the universe of DevOps practices, previously unexplored territories in my journey. The practical implications of the project, coupled with the guidance from mentors, encouraged me to experiment and learn, thus enhancing my technical skills and fostering my problem-solving abilities.

Guidance Illuminating the Path:

The mentorship aspect of the program emerged as its cornerstone. Paired with an experienced mentor, I found myself enveloped in an environment characterized by personalized guidance and unwavering support. My mentor's insights, combined with their willingness to patiently address my queries and assist in surmounting challenges, played a pivotal role in keeping me on track. Their constructive feedback not only accelerated my learning curve but also cemented my faith in the potency of mentorship in professional growth and development.

Thrive in Collaboration:

Participation in the LFX Mentorship Program facilitated my integration into a global community of passionate developers. This expansive network provided an avenue for sharing knowledge, brainstorming ideas, and fostering innovation. The collaborative spirit that pervaded the community enabled the establishment of meaningful professional connections that persisted even after the program concluded. Engaging with fellow participants and mentors instilled a sense of camaraderie and encouraged me to become an active contributor to the open-source arena.

A Triumphant Three-Month Odyssey:

The LFX Mentorship Program spanned a dynamic three-month period, where each day ushered in new learning opportunities. The structured timeline not only allowed me to modulate my learning but also enabled me to engage deeply with the project, progressively honing my skills. The flexibility in scheduling, with cohorts aligned to different seasons, catered to the diverse backgrounds and commitments of participants. The forthcoming Winter cohort commencing in September 2023 promises to be an exciting avenue for aspiring individuals to embark on this transformative expedition.

Conclusion:

 The immersive engagement, mentorship, and community involvement synergistically contributed to an environment that fostered learning, skill enhancement, and personal growth. Completing the program not only elevated my self-assurance but also solidified my commitment to continuous learning and active participation within the open-source realm. For those yearning to ignite their passion, broaden their horizons, and make substantial contributions to open-source projects, the LFX Mentorship Program emerges as an invaluable and transformative opportunity.

Here is link

NIT Warangal Offers Online Course on Machine Learning to Students at Rs 500

 NIT Warangal has invited applications from students for an online course on Machine Learning and Deep Learning Algorithms and Applications at Rs 500

NIT Warangal has invited applications from students and industry professionals for a five-day online course on Machine Learning and Deep Learning Algorithms and Applications. While the course will be offered to students at Rs 500, it will cost Rs 1000 for industry professionals. The programme is open to all faculty, research scholars, industry professionals, MCA, MBA, degree or polytechnic and other eligible students. As the program is being conducted online, the number of participants in the online course on machine learning is limited to 100.

The course is being organised by the Department Of Electronics and Communication Engineering in association with the Center of Continuing Education NIT Warangal. Students and professionals who enroll for the course can attend the same from 27 September to 1 October 2021. Upon successfully completing the course, participants will be able to explore topics in machine learning and deep learning for their research work, and design and implement various machine learning and deep learning algorithms in a range of real-world applications. Upon completion of the course, participants will receive an e-certificate.

What the NIT Warangal Online Course on Machine Learning Will Cover?

The course aims at updating the attendees with skills and knowledge in the field of machine learning and deep learning. Some of the topics that will be covered over a period of 5 days are as follows:

• Introduction to machine learning and tools.
• Data preprocessing and visualization.
• Simple and multiple linear regression.
• Decision tree and support vector regression.
• Introduction to deep learning ANN.
• Tensor flow and Keras using P
• Recurrent neural network and types of RNN.
• CNN architecture and 3D CNN.

How to Apply for NIT Warangal Online Course on Machine Learning?

Interested participants will have to submit a dedicated Google form with the payment proof on or before 20 September 2021. On the receipt of the Google form and fee remittance receipt, participants will be sent a confirmation of their participation through email by 22 September 2021. Those who wish to know more are advised to go through the course brochure in detail.

 

The U.S. States with the Top Tech Salaries in 2021

In 2020, despite the economic turmoil caused by the global pandemic, America’s tech sector experienced rapid growth. Last year, the total number of U.S. tech jobs grew by 60,000.

Because of this demand, U.S. employers are willing to pay for the right talent—on average, tech workers in the U.S. earn about 61% more than the average salary. But some tech workers make more than others, depending on where they live.

This graphic by business.org uses data from the Bureau of Labor Statistics (BLS) to highlight the average annual tech salaries in each state, compared to the average salary of other occupations. We’ll also touch on the top-paying metro areas, and what type of tech jobs offer the highest compensation across the country.

Average U.S. Tech Salaries by State

Perhaps unsurprisingly, Washington and California have the highest average salaries, largely because of the high job density in those areas.

However, when it comes to the difference in tech salary versus average salary, Alabama takes the top spot—on average, tech jobs pay 85% more than other occupations in that state.

Search:

Rank	State	Average hourly wage for tech workers	Average salary for tech workers	% more that tech workers earn than all occupations
1	Alabama	$41.69	$86,720	85%
2	Washington	$58.96	$122,640	83%
3	North Carolina	$44.19	$91,920	80%
4	Texas	$45.04	$93,690	79%
5	Virginia	$51.50	$107,130	78%
6	California	$56.16	$116,820	78%
7	Georgia	$44.00	$91,510	76%
8	Delaware	$47.76	$99,340	75%
9	Mississippi	$34.48	$71,720	72%
10	Ohio	$41.48	$86,270	67%

Showing 1 to 10 of 51 entries

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Why are tech workers so generously compensated in Alabama? It could be because the area’s talent pool is not keeping up with demand.

In 2021, Huntsville, Alabama is expected to see 25,000 new jobs in aerospace, logistics, defense, and other tech-related industries. But these jobs could be difficult to fill given the area’s low unemployment rate.

On the other end of the spectrum, the District of Columbia has the smallest discrepancy between tech and other salaries. But at $95,330, the area has the highest average yearly salary for other occupations in the country—and tech workers still make 20% more.

Top 10 Metro Areas for Tech Salaries

Some of the highest-paying states are also home to the highest-paying metro areas.

For instance, when it comes to pay differences in tech, two of the top 10 metro areas are located in Washington state, while three are in California. The graphic below shows the metros with the highest difference between the area’s average salary and the average salary of tech jobs.

The highest pay difference between tech jobs vs the average salary is in San Jose, where tech workers make 507% more on average. This figure is almost certainly skewed because of the area’s high concentration of tech millionaires and top tier programmers.

Highest Paying Tech Jobs Nationally

Of course, location isn’t the only factor that plays into salary—the type of job is important, too. Here’s a look at U.S. tech salaries, organized by job type:

In this analysis, which looked at jobs in computer science as well as mathematics, actuaries are the highest paid professionals on average.

While actuaries are more on the mathematical and financial side of the equation, more commonly associated jobs with tech are all over the list as well: software developers, computer network architects, information security analysts, data scientists, computer programmers, web developers, computer systems analysts, and so on.

The Future of Tech is Bright

America’s information technology sector, worth about $1.6 trillion, is expected to grow to $5 trillion by the end of 2021. And as this fast-growing industry continues to boom, jobs in this sector are likely to remain in high supply.

Augmented Reality (AR) in the U.S. is looking especially promising and is projected to grow by a CAGR of 100% between 2021-2025.

In short, tech is expected to keep growing. And salaries will likely follow suit.

SOP For Internships – How To Write Statement of Purpose For Internship

 SOP For Internships – How To Write Statement of Purpose For Internship

An internship from a reputed firm can offer many rewarding opportunities for you. Freshers mostly receive less compensation and need to struggle to obtain experience. However, a good internship from a renowned firm can alter everything since your experience will speak for itself. Nonetheless, you should not forget the fierce competition for the limited number of roles. A Statement of Purpose (SOP) is not just a document of formality, however, is a door to secure your dream internship. A well-composed SOP will make your professional and unique. 

Drafting an SOP for the internship is a crucial element of your application for a position. This is an opportunity for you to clearly illustrate the reasons for accepting you to the admission authority. You even have to indicate how this internship can help you advance in your career and mention the skills you anticipate obtaining from this experience. Your SOP should be good enough to make you stand out from other applications. 

Prior to going into further details, always remember that there is no easy way to write SOPs for internships. This article helps you to compose it in an efficient manner. Nonetheless, you must always allow your creativity to mold the document in a unique style since that will definitely increase the possibility of securing the internship and originality of the document.

The Key To a Good Start in Programming

 It’s always hard to make the first step, especially when it comes to a new direction in your career, let alone life. Remember: some things can be hard but nothing is impossible. If you think that formal education alone can make you a programmer, forget it. As Elon Musk once said, 

“Don't confuse schooling with education. I didn't go to Harvard but the people that work for me did.”

In this article, we’d like to tell you about the power of self-education—where and how to start programming, and what language to choose.

What Questions Do Novice Programmers Have?

We suspect everyone who starts in the field of programming has the following questions in mind:

• How to start programming?
• What programming language to choose?
• Is programming going to be easy or hard?

The key to the first question is self-development and self-education. There is nothing wrong with teachers and courses, but you should keep in mind one thing: a course may give you skills but won’t teach you how to study. So you must learn how to look for information to continuously educate yourself. 

When self-educating, it’s good to have the mindset of a discoverer. We’re sure that, if you are really motivated, this is not the first article on this subject you’re reading. If it is, we recommend you to read as many sources as possible (remember there is more than one correct opinion).

We all come across some hardships or barriers when we try to study by ourselves. So here is some good news to consider, which will help you make a start:

1. You don't need money to start learning. Nowadays, many things are free on the Internet.
2. You don’t even need a computer to start. The foundation you should be building on is your knowledge of maths and logical skills.
3. You don't need a teacher to make your first steps. There are lots of popular communities where experts are willing to help you and answer every question in a matter of minutes. Some of these communities are:
   • Stackoverflow  
   • Github community
   • Coderwall

What Language To Start Programming With?

Programming is not just coding - it’s building algorithms thoroughly. When you make your first steps in programming, any language may seem difficult, but let us tell you a secret: every programming language is just encrypted words. For example, in C++ or Java “a string” means “a line.” You’ve probably realized that programming is closely related to mathematics, so you need to have well-developed mathematics skills.

It becomes harder when you come across definitions like “a variable,” “massive,” “cycle,” “class,” “structure,” and other software words. You’ll need to understand their meanings to start coding. We’d recommend opening Wikipedia and reading some definitions. If they’re not as difficult to understand as you expected, let's move on! 

There are some languages that advanced programmers neglect. However, they’re enough to start with. Your primary goal is to think logically and solve problems in your mind, not to learn the language. Therefore, the best starting point would be HTML and CSS. Connected with website development, they are built of tags, and each word there is understandable (for example, “a body” means the body of your website). HTML and CSS are the best things to learn if you are:

•  Interested in coding
•  Interested in developing your imagination but not learning the keywords

Here are some useful resources for learning HTML:

• HTML book

An interesting thing is that you don't even need a dedicated app to make your first website in those languages. Just open the Notepad and start writing. 

If you are still reading this, that means you are ready to move on. 

Let us tell you another secret: it’s more important to choose a programming language that corresponds with your skills than to start with the most popular one. Remember, today a language is popular, and tomorrow it may not be.

All programming languages come from one language that appeared first. Therefore, all of them have a similar structure. However, some of them may be visually easier to understand than others. If you don't have any problems with writing in C&C++ (which are very strict languages and hard to memorize), then you can master any language. 

If you think that C&C++ is a thing of the past, then you’re mistaken. But if it seems hard to you, try to learn Java first. C++ is faster in some ways but Java is well-optimized visually and hence easier. It’s not hard to find information about Java on the internet; there are lots of tutorials, books about coding, and forums. 

What Is the Most Important Thing In the Beginning?

The most important thing when you start programming is your approach to solving problems. You’ll have to solve tasks like: “There is a frog that jumps between lily pads on the lake. The frog can jump onto only 2 or 3 lily pads. On every lily pad, there are from 1 to 10 flies. Build the best route for the frog so that it can eat as many flies as possible.”

In the beginning, don't think too much about which language to start programming with. It’s more important for you to learn to imagine the whole situation in your mind to think of the solution. Only then can you start deciding on the methods to apply and the language to choose. We recommend googling some tasks on dynamic programming for beginners and trying to solve them. After several tries, you will see that every language is similar, and choosing an algorithm for solving the issue is the main difficulty. 

Conclusion

To summarize, here are some of our observations for a solid start in programming:

• You don't need to go to university to learn something as there are lots of books and other sources about programming. Self-education is the key.
• You don't need money to start learning.
• Some things can be hard but nothing is impossible.
• Set a goal and take steps to reach it.

Career in software engineering: In-demand skills for professionals

 The software engineers market is growing at a rapid pace and it is predicted that by 2029, there will be a 22% increase in the job opportunities for professionals. The companies are also hiring software engineers that are going to increase with the rise in market demand. However, to pursue a career in software engineering, there are a few skills that professionals must be aware of.

Here are some IT skills that professionals must have to establish a career in software engineering.

1. Programming skills
The development and upgrades have evolved the tech market along with the programming languages used. Hence, for the engineers, it is essential to learn new skills and upgrade themselves. The engineers need to get a hand on programming languages, tools, frameworks, IDEs, etc. as per the trends in the market.

2. Cloud architecture
The companies are moving from on-premises to cloud-based solutions, which has increased the demand for cloud experts in the market. The companies are hiring experts that can work on IT infrastructure that is affecting the cloud computing market.

3. Problem solving
The engineers need to have a better idea about problem-solving on creative and complex aspects. There can be multiple issues around team collaboration or communication that one needs to sort out. Software engineers need to evolve and be problem-solvers while understanding the issue.

4. Data management
One of the fastest-growing careers in the market is data science. The professionals are opting for a career in data science as companies are adopting data to find results. Professionals with data analytics, machine learning, and artificial intelligence skills are a must.

5. Learning agility
The engineers need to stay abreast with the technology evolution to stay competitive in the market. Organisations watch out for the engineers that have the capabilities to adapt, learn, and change the concepts. The motive is to ensure that they can upgrade their technical capabilities, be flexible, and work on their curiosity.

10 Most popular programming languages in August 2021

 The PopularitY of Programming Language (PYPL) Index comes up with the top and popular programming languages in August. PYPL works on analyses of Google Trends and understands the requirements and use of the developers. Here are the most popular programming languages in August 2021 according to PYPL.

1. Python
Python is a high-level general-purpose programming language that is readable and works on object-oriented concepts. It includes functional and structured programming supporting multiple programming paradigms.

2. Java
Java is an object-oriented, high-level, general-purpose programming language allowing developers to write the code once and run it anywhere. Java is also one of the oldest programming languages that have similar syntax as C and C++.

3. JavaScript
JavaScript is the programming language that is just-in-time compiled, high-level, and multiple-paradigm. It has dynamic typing, curly bracket syntax, prototype-based object-oriented, curly-bracket syntax, and first-class functions.

4. C#
C# is a multi-paradigm, general-purpose, programming language encompassing strong typing, static typing, declarative, imperative, lexically scoped, object-oriented, generic, functional, and component-oriented programming disciplines.

5. C/C++
C/C++ is a general-purpose programming language that works with classes. It is a generic, object-oriented, and functional programming language that manipulates the low-level memory used to enhance efficiency, performance, and flexibility.

6. PHP
PHP is a general-purpose scripting language that has evolved with written formal specifications. The server-side programming language works with the reference implementation standing for recursive initialism PHP.

7. R
R is free software and programming language environment for graphics and statistical computing. It supports the R Foundation for Statistical Computing and the R Core Team. The programming language was at 12th position in the TIOBE index.

8. Objective-C
Objective-C is an object-oriented, general-purpose, and standard programming language that can be used for application development in macOS and iOS. The programming language is used as an extension to the C language.

9. TypeScript
TypeScript is a programming language that can be used to develop large applications and transcompiles. It is a syntactical superset of JavaScript that can help in working for server-side and client-side execution.

10. Swift
Swift is a multi-paradigm, general-purpose, compiled programming language that can work as a replacement for Objective-C. This programming language is used with Apple Cocoa Touch and Cocoa frameworks interoperating a huge body of code in Objective-C.