Ex-Google TechLead gives his top lessons from 10 years of programming. Launch your next website with http://squarespace.com/techlead
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Personally, it pisses me off. Every time I see an article on this topic, my emotional bank account gets robbed. They are all about SEO. Inappropriate keywords squeezed into tiny sentences just to get better rankings. No intent to entertain or enlighten the reader whatsoever. Sometimes, such articles can even be outright wrong.
And even though the purpose of this blog post can be to generate traffic, I tried to make it more of a meaningful rant than a lifeless academic essay.
So, let’s see how you feel by the time you are done reading this paper.
Without further ado:
Since there are no proper interpretations of both terms, a lot of people use them interchangeably.
However, some companies consider these terms as job titles.
The general “programmer-developer-engineer” trend goes along the lines of:
#devops #software development #programming #software engineering #software developer #programmer #software engineer #software engineering career
Over the past few years, the usage of data has exploded drastically. More people, organizations, businesses, etc. are availing data as part of their routine mechanism. Earlier, people focused more on useful insights and analysis, but now, they have come to the sense that managing data also needs equal importance. As a result, the role of data engineer has ballooned in the technology sector. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Data engineers are responsible for finding trends in datasets and developing algorithms to help make raw data more useful to the enterprise. The Dice 2020 Tech Job Report labeled data engineering as the fastest-growing job of 2019, with a 50% year-over-year growth in the number of openings. According to Dataquest, data engineers performs three main roles namely generalist (found in small teams or small companies), pipeline-centric (found in midsize companies) and database-centric (works in large organizations). Analytics Insight has figured top 10 companies hiring data engineering professionals with decent salary.
#big data #latest news #top 10 companies hiring data engineers #top 10 companies hiring data engineering professionals #data engineer jobs. #top companies hiring data engineering professionals
There is no better moment for me than starting a brand new project.
Smells like new project spirit… (Whatever it means)
Starting a new project is funny. Everything seems to be in the right place. But as the projects grow and the deadlines come closer the things begin to boiling.
So, let’s talk about signals that can tell us if our code sucks and we how we can avoid that.
I guess we all have known at least one project that anyone wants to touch, or heard the phrase:
It works, don’t touch it!
Well, that’s not a good signal. I know there are complex projects, big projects, but if nobody in your team can touch it without breaking something, then there is something wrong with that code.
Code is like a garden, it needs to be treat and maintained, if it grows in size or complexity with no control, then will be harder to maintain and easily can get death.
Code grows out of control when there are no conventions to work in it, team practices, even solo practices are important to keep our code under control.
If you see yourself in a scenario where is hard to add things to your project, then you should rethink the whole thing.
If only one person in your team can understand a project, then that’s a problem and hopefully that person never gets sick or goes on vacation.
If you are working by yourself please don’t write overcomplicated code; in my experience simplicity is better; writing code that anyone can read is the right thing to do.
t is clear today may not be that clear in a couple of weeks, even for you.
Use comments on your code. Do not comment on every single line but put enough comments on the complicated and crucial parts.
I have to insist on this. Simple is better; there is no need to show anyone how abstract you can be or how much you know the language. Keeping things simple is way much more productive than trying to show off your knowledge and skill.
Keep your code as readable as possible, simple as possible. Clear variable names, descriptive functions names, clear statements. This will save time for you and your team.
A good way to measure how readable your code is is to overcome the necessity of comments. If the code does not need many comments to describe it, then it means the code is readable enough.
The best code is not only the one that is fast and performant; the best code is also the one you enjoy working on. I’ve had nightmares of codebases that I had to work with, and I also have had codebases that I enjoy.
Coding is a team sport, and every member of the team must be able to play the game, so write for the team.
#development #programming #software-development #coding #coding-skills #software-engineering #code-quality #code
Software development is something that is gaining popularity at lightning speed with the development of technology. The demand for regular developers is high compared to most other mainstream professions. But, what are the other reasons for learning to code?
Given my experience as a software engineer and Java tutor, I’ve come up with many reasons, and, in this blog post, I am going to share them with you. I hope they will lead you to make an informed decision.
Salary is a frequently discussed subject in a programming environment. Compared to many other industries, software engineering allows specialists to receive a way higher average wage.
To avoid being verbose and prove that you are a future high-demand expert, I will give you real numbers based on data from Glassdoor, the job and recruiting website. The salary rate is the average between the length of service and all geographical data. It also depends on the coding language you are mastering.
Software development is one of the industries that show comparatively stable employment. Unlike many other occupations, computer professional activities face a significantly lower unemployment rate even during a pandemic. See the table below.
Although the industry is stable enough, the technology moves fast, which means the specialists will hardly be able to use all those skills they have now in 2–5–10 years. The good news is that many IT companies contribute to the professional development of their software engineers because using modern tools consequently leads to their business success. So, if you constantly update your skills, you don’t have to worry about losing your job.
When you are good at coding, you have more options. You can decide whether you want to join a large company or a small one as a programmer. You can start your own startup or choose to work as a freelancer without being tied to a place. You can most likely get an offer and move to another country for relocation. Everything depends on your goals.
Knowing how to program not only improves your way of thinking, but it also makes your CV stand out among others, even if you’re engaged in the indirect activities, like software testing, digital design, system administration, business or data analyst. Mentioning you are good at programming gives hiring managers a better understanding of your ability to think critically and grasp advanced topics quickly.
#programming #software-development #software-developer #software-engineering #software-engineer #computer-science #learning-to-code #coding
Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.
First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.
Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.
Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.
To want to know more click on Top 10 Trending Technologies in 2021
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