How Python Programming Can make You Happy
Why Learn Python
In this article we're about why you should learn python right now.
1) Python is Great for Beginners
- Easy to Learn, Read, and Use. Unlike C# and other languages, is human readable and it's concise. ...
- Less Syntax Memorization. ...
- Proper Programming Practices are Built-in. ...
- In-demand Language.
2) Web Development with Python
- Learning Python is easy. You can do a lot with just a few lines of Python code. However, if you are thinking of building a complex full-fetched web application in Python from scratch, you might be doing it wrong.
- There are already some great Python frameworks present in the modern-day that you can use for web development. They are fast, refined and backed by thousands of developers.
- Here, we why Python frameworks are a great choice for web development — where to start with them and how. Also, we are introducing to Python libraries and helper tools that will help you throughout the Web development process.
3) Iterative, Agile Design
Success in startup companies does not come overnight.
Instead, it comes from a series of iterations that often look like this:
- Find out what the (potential) customer wants/needs.
- Build the Minimum Viable Product (i.e., the smallest possible set of features that solves the customer’s problem).
- Show it to the customer.
- Repeat the process until the customer is happy.
This process allows startups to “stair step” their way to success. Start with an idea, then refine the idea and product until you’ve “made it.”
In the online world, Python is ideal for this process.
The language allows you to code quickly, building complex applications with minimal lines of code (5x less than Java and 10x less than C++).
Going from idea to implementation quickly is critical in the startup world, so if you are interested in working with startup companies, I highly suggest you learn Python.
Personally, I’ve been working startup companies since I was 18 years old.
Whether the particular product was web-based, mobile, or enterprise, Python eventually found its way into the company, either as part of the core product or as a supporting utility. I have no doubt this trend will continue in the future
4) Python has High Salaries
As is on the rise, it might be high time to become familiar with both the job responsibilities and average Python developer salary in the US.
A Python developer is usually responsible for writing server-side web application logic. This also includes the development of back-end components, connecting the application with other third-party web services, and supporting the front-end developers by integrating their work with the Python application. Speaking of Python, it’s also worth mentioning Django (an advanced open-source framework written in Python), which many software developers choose to specialize in.
Even though data analysis and web development are still the major use cases for Python, machine learning is making a strong showing. This is according to the results of Python Developers Survey 2018. That’s precisely why this programming language gets more and more attention these days. It might eventually influence the average Python developer salary. In fact, Python already ranks as the world’s seventh most popular programming language among professional software developers. As a result, it has recently become one of the most wanted technologies.
Python developer salary, however, depends on a range of factors. These include skill set, level of expertise, and location. To give you a full understanding of what affects the salary, we’ve combined up-to-date, industry-specific data from credible sources, such as PayScale, Glassdoor, and ZipRecruiter.
5) Python Security
Reporting security issues in Python
The Python Software Foundation and the Python developer community take security vulnerabilities very seriously. A Python Security Response Team has been formed that does triage on all reported vulnerabilities and recommends appropriate countermeasures. To reach the response team, send email to security at python dot org. Only the response team members will see your email, and it will be treated confidentially.
The PSRT mailing list is tightly controlled, so you can have confidence that your security issue will only be read by a highly trusted cabal of Python developers. If you further wish to encrypt your message to this mailing list, you can use our shared OpenPGP key which is also available the public Key fingerprint:
2048R/D067453C 2010-09-08
Key fingerprint = F314 452F E3F9 BF87 0435 7732 D273 E0FF D067 453C
Python Security Response Team <[email protected]>
2048R/0953421B 2010-09-08
6) Python, Artificial Intelligence & Machine Learning
Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. , Python the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.
AI has created a world of opportunities for application developers. AI allows Spotify to recommend artists and songs to users, or Netflix to know what shows you’ll want to see next. It is also used extensively by companies in customer service to drive self-service, and improve workflows and employee productivity.
But what is it about Python that makes it so good for AI? In this article, we’ll take a look at the main reasons why Python is the go-to programming language for developers working in the fields of machine learning and deep learning and why you should consider it for your next AI project.
7) Python Diversity & Flexibility
Over this past summer I set up my first 401k.
I chatted with my financial advisor on a number of occasions, discussing various investment vehicles and strategies, and different methods to allocate my portfolio.
No matter how the conversation started, it always ended up in the same place:
Managing my risk, and more specifically, how to minimize it.
In the investment world, this simply boils down to “not putting all your eggs in the same basket.” If you drop your basket, you crack all your eggs.
Your goal, therefore, is diversification: put a chunk of your money into large company stocks, another (smaller) chunk into small/mid-size company stocks, then another chunk into bonds, and finally any remainder into foreign markets, precious metals, etc.
Makes sense, right?
If you put all your money into stocks and the market crashes again like in 2008, your retirement portfolio would be entirely crushed. By diversifying, you minimize your risk.
Believe it or not, the programming world isn’t so different.
Over the past decade, it’s become increasingly valuable to have a programming specialization, but you have to be careful not to pigeonhole yourself as “that Java guy” or “that C++ guy.”
While it’s extremely important to have a niche and you also need to make yourself marketable.
For example, I’m a programmer, and I specialize in computer vision and machine learning.
However, I’m not just a “Python guy” or an “OpenCV guy.”
I’ve used Java to build large-scale enterprise and government applications.
I’ve utilized C++ to work on real-time applications.
I’ve even custom built PHP applications to scale to hundreds of thousands of users.
My point is this: my resume and curriculum vitae are diversified.
I have a niche and know my niche well, but I can also take on just about any other task.
If you don’t have Python under your belt, consider adding it to your repertoire and increasing your diversification and marketability as a programmer.
How can I start learning Python?
I recently started learning Python Programming. But after only, I got super-confused. So I am not able to decide about the approach I should follow to learn Python Programming.
- Should I just read books (cover by cover).
- Should I make notes and learn the syntax.
- Should I watch Online tutorials and lectures and do coding.
- Should I use sites coding online.
- Should I dive straight into projects.
I also learn about the mechanism behind it. I do have a little programming experience. There was an intro course in C programming in first semester in my university. But there was not much I learnt it. As I had no programming experience before it, and the course mainly focused on learning and understanding syntax of C.
I guess there might could be few other students/ learners/ programming-enthusiasts, who programming or had rough past experience with programming and wish to learn Python and not just mug-up also understand the underlying So I would love to work on relevant projects after learning Python programming.
Is Python Developer A Good Career Option?
Recently Python Developer has become a very sought after job in the industry. I come across many Python resume every day. There has been an increase in demand of python programmers at every level in the IT industry. Python programming language is much more preferred coding language than C++ and Java. This is because a Python code is not only shorter and more readable than its popular peers but is also very versatile.
World’s not so famous websites like Google and YouTube are designed using Python programming language
A Python developer has to use fewer lines of codes to write apps. Both big and small companies are using Python to develop software as it has multiple paradigms of programming. Therefore, Python developer as a career option has become quite lucrative.
What Kind Of Python Developer Jobs Are Available?
After successfully completing are various arenas that you can opt for.
Web Programming
- Python programming language is a great option for website design. Python web development is quite in demand and a very good option for Python developers. If you are looking for Python developer jobs for then web programming is worth considering. You will be responsible for writing web application logic for server-side.
Data Visualization With Python
- If you are planning to go for big data analysis as a career you can look into this particular job profile. The sheer volume of data generated each day is unbelievable. . So as a Python programmer you can think about a flourishing career in this sector.
Game Development
- One of the most fun ways to put your Python application skills to use is to become a developer. Off late, gaming has become extremely popular among all age groups around the world. For instance, games like SIMS 4 and Battlefield 2 are designed using Python programming language.
Data Analysis Using Python Programming & Pandas
- If you want to steer this is the job profile to go for. Today with the internet connectivity of the devices, there are terabytes of data generated every day. This has boosted the demand of data scientists in the industry.
How would that change your life?
- For me it felt like a huge personal achievement when I got my first paycheck for working full-time on a Python project. I loved the opportunity to apply a language that I previously only used as a hobby in my spare time.
- Maybe you’re just starting out and you’re learning how to program by yourself or through a university program.
- Or maybe you’re already an established software developer—but you crave to switch to a Python job.
- If this sounds like you, I’d love to help you out.
Recommended links
- --I-learn-Python-easily
- Python-programming-language
- Python an easy language to learn
- Programming with Python: Hands-On Introduction for Beginners
- Python Language Introduction
- 10 Things To Know About Python.
Useful Tags
data scientist, machine learning, CredoSystemz