Machine Learning and Artificial Intelligence - wherever these terms are used, you will hear Python Programming Language associated with it. Because of the extensive use of this programming language in these fields, you can imagine the sheer capability of what Python can achieve out of the box. Within that, Python can be used to perform simple tasks like scraping sites for information, building very basic sites, web servers, et cetera.
The latest trend shows that python is the fastest growing language. It has left the many popular programming languages such as c, c++, c#, JAVA, etc. behind its shadow. As of 2019, Python comes under the top 5 most popular programming languages. And the community is growing day by day.
In this blog, we will be taking a sneak peek into the world of Python programming. The blog is divided into sub-section. Each section explores the various aspects of the Python programming language. Here are the sub-sections:
- introduction to python
- the roles of a web designer
- a brief history of python
- Python web framework
- Python Career path
- the future of Python developers
- the scope of Python in Nepal
Introduction to Python
Python is a High-level Object-oriented and interpreted scripting language. It is popular as the most human-friendly programming language. The syntax used in this language is very readable.
Another feature of python is the interpreted nature of the programming language because unlike other programming languages such as C or JAVA, Python codes don't have to be compiled down to the machine codes or byte codes. You can write the code, and the python interpreter will run them as it is. Therefore it is often known as a live language.
Another significant aspect of this programming language is the library. The official repository for third party python software has been counted to host more than 132,000 packages as of January 2019.
We can use this programming language for small and large scale projects. It has been known to be used by organizations such as NASA, Pinterest, facebook, google, quora, Instagram, etc.
In case you want more reasons to learn Python. Here are a few compelling reasons.
- large community
- free and open-source
- OOP and interpreted
- large standard library
The roles of a Python Developer
- Implement new features as per client requirements while collaborating with designers
- Design performant and scalable applications and the tune and improve them on a timely basis.
- Develop a backend system and debug the problems if any
- Implement Data Security and protection
- Coordinate the internal team members to better gauze user requirements and implement them
Python developers work mainly in the Machine Learning, Big Data, and Artificial Intelligence fields. This means you should be good with numbers, statistics, and mathematics. Though, other areas like web development, app development, and software development, expect you to have excellent logical and problem-solving skills.
As you excel in your career, you should be knowledgeable about the advanced topics of Python, such as generators, context managers, decorators, modules, advanced string manipulation, and develop proper debugging skills with appropriate unit test setup.
To acquire these skills, you can read books, join online classes, or join IT institution classes in Nepal. It is recommended that you're first to complete the fundamentals of python programming language by taking online courses and then join actual courses. This helps you develop networking skills and acquire a valid certificate. And again, you can ask questions about the topics which are hard to understand from videos.
A brief history of python
Python started its journey in the late 1980s. It was an initiation of Guido Van Rossum when he was a member of the National Research Institute of Mathematics and Computer Science. It was a successor of ABC programming language and targeted toward the Amoeba Operating System. Its important feature back then was the exception handling. The name comes from an animated series - Monty Python.
As the programming language matured, other features such as the classes, lists, and strings were added (version 0.9.0 in 1991). With these features, the lambda, map, filter, and reduce were also added.
In 2000, a significant release, Python 2.0 was done. This was an open-source and collective effort. It included garbage collection features, list comprehension, and support for Unicode.
The latest versions are Python 3 and above. Version 3.0 was released in December of 2008 and lacked much of backward compatibility.
Django is a very popular web development python framework. It uses MVT (Modal View Template) architecture to compile your python codes and templates to a full-fledged website. This framework comes with ORM(Object Relational Modal) to access the database. This way, you don't even have to learn different SQL languages because you can write python classes to perform CRUD (Create Read Update and Delete) operations. It is one of the most praised features of the Django web framework.
If you want to explore the machine learning field. NumPy is the library to start with. This library helps you study scientific calculations. Mostly instead of using the list of python modules - we use the array-like implementation to perform trigonometric, statistical, and algebraic calculations.
This is a very popular Python GUI library. With this, you can build various interactive user interfaces for your applications. This comes default with most of the Python installations. It is used so that end users can visualize the calculations. These are used in heavy corporate machinery to view the status of the machines digitally in an appealing manner. You can use this tool to build simple applications of your own. You can compile them to run on Windows, Mac, or Linux.
Kivy is a popular python framework to build android apps. It builds apps using native UI. This framework comes with support for its own graphics library, a wide range of multitouch widgets, and supports for input from keyboard, mouse, controllers, and touch.
The career path of a Python Developer
If you want to go into the field of machine learning and artificial intelligence, you should first do an extensive study of probabilistic statistics. This teaches you about various measures to study data and extract valuable meaning out of it.
Junior Python Developer(minimum of 1.5 years of OOP understanding): Junior python developers - if you are in the machine learning field, you should know the core of statistics. You will most likely be working with the standard library or the company's custom library. If you are in the field of app and web development, you should have the grasp of the life cycle of the frameworks you are working on. If you are good with python, you can quickly learn most python frameworks to get you started. There will most likely be various architecture for the web or app development. And should learn these architectures. Some popular ones are MVC(Modal View Controller), MVP(Modal View Presenter), etc. It is okay for you to ask for guidance from the senior developers. There will be new development tools and software for you to learn from scratch. It will take time to get comfortable with them.
Mid-Level Python Developer (4-6 years of Python experience): Mid-level Python developers should be able to work without the help of other developers. They will be working independently and are comfortable with many tools used in the company/organization. Most of the mid-level python developers are specialized in specific areas of the development process.
Senior Python Developer (at least five years of core and advanced Python experience): As a senior python developer, you should be able to handle a team of junior and mid-level python developers. Your responsibility will also involve distributing correct tasks to the right person. As a senior python developer, you will likely face very new problems that require creative solutions. Therefore, you should be open to the recommendations and ideas from the team members.
Application of Python
Python is becoming the powerhouse of every big data firm. It can handle all the small and large operations.
Here are the top fields where python programming language is widely prevalent:
Machine Learning and AI: Currently, there are very few it not many programming languages that can top python in the field of machine learning and artificial intelligence. This is the field where python shines. There are many libraries that you can use to learn, teach, and discover patterns to the computer and retain valuable information. This information can be used to predict or study the behaviors of many phenomena. One of them is in the finance and stock market. Engineers use python to record and analyze the market. From this, the result is used to make decisions.
Web Development: Web development is another very popular application area of Python. You can find many web frameworks such as a flask, Django, etc. These frameworks make it easy to develop very robust and fast websites. Python is gaining a very stable upward trajectory in web development because of its speed. Though PHP is very popular, companies are adopting python to stand out and gain the upper hand to their competitors.
Robotics and Machine Vision: Python is widely used in the field of robotics because it is very easy for even the people from the noncomputer science field to understand the most basic meaning and get the relative implication of the code. Machine vision is another popular field where python is used. There are libraries to study real-world objects using python.
These were the top application areas of Python. From here, you can take any career choices such as web developer, game developer, AI/Data Science Engineer, Big Data and Robotics, and Software Engineering.
The future of Python developers
Python has a large community supporting the language. It is evolving with each iteration and bringing new features to stay relevant to the current bleeding features of other languages.
Python is used in the latest technologies; therefore, if you want to pursue a python career, you should be able to learn new features regularly and implement them. Many problems in the python career require you to use calculated creativity because the field of machine learning and artificial intelligence are unexplored, and the outcome from them is independent of previous ones. Therefore, this is a dynamic field for people who want to innovate and analyze various phenomena.
The scope of Python in Nepal
The use of python is increasing rapidly in Nepal. It is because many people who were quick to adopt the technologies have learned that from the past. They have learned the advantages and disadvantages of many programming languages and heard about the technologies from other people. And many of them are looking for new technologies to improve their online presence through new technologies. With this, Python Programming Language is becoming a more and more popular choice because it is easy for developers to learn, and there are many useful libraries to develop applications and websites. From the recent trend in Nepal, companies are seeking technologies that are easy to operate without changing their previous workflow while improving the speed and performance of the applications and websites. And Python comes as the perfect choice for them.
The environment for python developers in Nepal is still competitive. You need to be hardworking and passionate in python. Though learning basics of python is relatively easier than other programming languages, you need to realize that programming is not only about mastering programming language but rather being able to solve real-world problems, which means you should be able to analyze various scenarios and get the most effective and efficient solution.
Despite the competitive environment, Python is very flexible, and it will allow you to earn side income doing freelance gigs. You can work from home. If you do not want to work for a company, python creates doors of opportunity. There is an immense demand for good python developers. And even if you are working in a company here in Nepal, you will most likely be working on a foreign project.
In the recent context of Nepal, there are emerging companies that are implementing Artificial Intelligence. These companies are implementing AI in the field of cybersecurity, finance, hospitality, and many other fields. With these activities, many opportunities are opening for new and upcoming python developers.
If you are interested in building your career in Python programming, well wishes from us. And before you leave!
TechAxis has designed a comprehensive Python Training course. This course is specially designed considering the Nepali market. And you do not need to have programming experience because we start from the beginning. The course covers all the fundamentals and the advanced features of python. The course is designed such that it is interactive, and you get hands-on experience in programming.
The course also covers a very popular python web development framework, which we have already discussed above. It is the Django web framework. This framework is chosen because of its popularity in the recent Nepali market. Also, this framework has a large community and well-written documentation.
At the end of the course, you should be able to code in the Python language and develop dynamic web apps. With this knowledge, you can further expand your skill to build desktop apps, android apps, ios apps, dive into the world of AI and machine learning, and so on. The only limit is your imagination.