Is it difficult to learn python?

If you started your career in Java, C, or Perl like many others, the learning curve for Python is basically non-existent. However, it is precisely because of the fact that Python is easy to get started that some people do not realize that Python should also be a necessary programming skill.

#I want to be honest with you, my love for Python only started a few years ago. We won't appreciate all that this language and its platform have to offer without learning it the hard way over time. My purpose in writing this short article is to save you from the same pain and let you understand why you need to understand Python. (Recommended learning: Python video tutorial)

1. Python is easy to learn

Well, compared to others It's "easier" than many programming languages ​​you can use. Python's language doesn't have many rituals, so you don't have to be a Python expert to understand its code.

My experience is that it is easier to learn and teach Python through examples than to approach, say, Ruby or Perl in the same way, because Python's syntax has fewer rules and special processing scenarios. Much more. It focuses not on the richness of the language's representation, but on what you want to accomplish with your code.

2. Python allows you to build more functions with a small amount of code

Python can bring all developers a fast learning experience. With practice, you can easily implement a game with basic functions in up to two days (and this is without knowing anything about programming).

Some other factors that make Python a compelling programming language are its readability and efficiency.

3. Python is a versatile language and a platform

Python is 28 years old this year. Even though it's older than many of my readers, it's still of high interest because it can be applied to quite a few software development and operations scenarios you can imagine today.

Manage local or cloud infrastructure? Python can. Developing a website? OK, it works too. Need to work with a SQL database? Can. Need to customize a function for Hive or Pig? can do it. Just want to build a gadget for yourself? Python is the best choice.

Need a language that supports object-oriented design? Python’s features will suffice. In short, knowing Python a little deeper will give you skills that can be adapted to a wider range of job roles.

4. Python has one of the most mature package repositories

Once you understand the language, you can take advantage of the platform . Python is powered by PyPI (pronounced Pie-Pie, you can learn about it online here), a repository of over 85,000 Python modules and scripts that you can pick up and use right away.

These modules distribute prepackaged functionality to your local Python environment that can be used to solve various problems such as database processing, computer vision implementation, execution of advanced data analysis like dimensional analysis, or building RESTful web services address these issues.

5. Python is widely used in the field of data science

No matter what job you are engaged in, data will be a part of it. IT, software development, marketing, etc. – they are all deeply about data and hungry for wisdom. Data analysis skills will soon be as important as coding skills, and Python will play an important role in both fields.

Python, next to R, is the most commonly used language in modern data science. In fact, Python has more job openings than R in the field of data science. The skills you develop while learning Python will transfer directly and be used to build these analytical skills of your own.

6. Python is cross-platform and open source

Python can run across platforms and has been open source for more than 20 years. If you If the code needs to run on Linux, Windows and macOS at the same time, Python can meet the requirements. Plus, it's backed by decades of tinkering and continuous improvements, ensuring you can run your code however you want.

7. Python is flexible

There are some stable implementations of Python integrated with other programming languages.

CPython, a version integrated with C.

Jython, a Python version integrated with Java.

IronPython, is designed to be compatible with .Net and C#.

PyObjc, Python writing method under ObjectiveC tools.

RubyPython, a Python version integrated with Ruby.

Summarize

There are not many languages ​​​​that offer the variety and simplicity that Python does; even fewer can continue to strive to evolve and allow the community to thrive for decades. Whether you're new to coding or a master who can write scripts by hand, you need to know Python.

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