The first question that comes to our mind is if learning Python is an achievable task and how hard is it to learn Python. Well, that depends on you. We can accomplish anything that we want as we are the intelligent species on the earth. We want to get better. The process is to be consistent, and in no time, you will learn any programming language that you want.
Here, we will talk about some advice you can use as you learn Python. The world right now is focused on technology, and we must keep ourselves updated with these changes times so that we do not get left behind. And learning a new language is only for the better as it keeps the brain active.
Without further ado, let us get started on how hard is it to learn Python!
1. How Hard Is It to Learn Python?
Programming can be a difficult task, but Python is known to be the easiest programming language. It is also one of the most widely used programming languages. The initial purpose of Python was to simplify programming because Python focuses on code readability.
The syntax used in Python resembles the English language. Hence, learning basic Python will only take a few weeks, but in order to master the language might take a few months. Again, this is approximate because the time depends on the learner. If you are really interested, it will be a cakewalk for you!
2. Why Should You Learn Python?
Learning Python is worth it because it gives you an advantage if you are looking for a job because the current requirement is to be well-versed with computers and technology. And learning a programming language such as Python might land you a job offer with a higher salary.
So, in all aspects, learning to code is definitely worth it, and you should give it a try. A good reason why it is easy to learn is its clean syntax. This makes it easy to learn and perform complex tasks.
2.1 Website Testing
Python has built-in testing frameworks like Pytest, Robot, etc. It can be used with Windows, Linux, and other operating systems because it is a cross-platform language. Debugging is easy with this language as the code is implemented line by line. In addition to that, it has active community support, which offers technical help at no cost, making it the most preferred programming language.
2.2 Many Programming Paradigm
This means that Python supports various styles of code writing. The style can vary from being object-oriented, imperative, or functional. These are the three programming paradigms supported by Python.
Object-oriented focuses on HOW and tells the computer to finish the task. This involves using loops, statements, and functions. The functional paradigm focuses on WHAT and uses stateless functions such as lambda, map, filter, etc. Lastly, the Object-Oriented paradigm focuses on making code efficient. The object is considered a basic entity and can modify data with the help of the class, also known as the blueprint.
2.3 Artificial intelligence
Artificial intelligence is the brain power of machines compared to that of humans or animals. It is a branch of computer science as these smart machines are created with certain programming languages, and Python plays an important role.
And with the increasing development of AI tools like ChatGPT and Google’s BARD, the world is heading toward technological advancement. And having a Python programming certificate gives you an upper hand while looking for jobs.
2.4 Data Science
Python is a mandatory programming language that a data scientist should know as it has many mathematical inbuilt libraries and functions to calculate problems and perform data analysis. Panda is a famous library used to manipulate data among data enthusiasts. For numerical computation, the best-known library is NumPy, and Matplotlib is for data visualization.
Data scientists favor Python for Data visualization, Machine learning, Deep learning, Natural language processing, and image processing. Python helps carry out repetitive tasks and data manipulation as data scientists desire.
Also, the job of a data scientist and data analyst is in demand; hence, you might try it by gathering more information about the course.
Hackers with malicious intent rely on Python to hack data, scripts, and exploits. The language is frequently used in network programming, so hackers prefer Python. Many ready modules to access operating systems and IP addresses are famous among hackers because it is cross-platform and work with all OS.
Programming helps to enable the automation of tasks, making custom tools, analyzing data, and testing vulnerabilities. There are various versions of this language, but there is no restriction regarding its usage.
Python helps to run its machine code as it is an interpreted language. The flat learning curve of this language makes it preferred by people from the tech industry. And you should keep in mind to expand your knowledge because everything keeps changing in the tech world.
3. How Long Does It Take to Learn Python?
This question has no definitive answer, as learning ability differs from person to person. It also depends on your level of curiosity and interest and how badly you want to master the language. It will require you to be calm and trust the process. If you are already familiar with other programming languages, such as C++ or Java, it may take anywhere between two weeks to a month maximum.
If you do not have a programming background, do not worry; you can start with Python, which is considered the easiest programming language. It will take about three to six months to learn this, but again, this is approximate as people have different learning speeds, and who knows, you might pick it up quickly if you like to code.
Also, as a beginner, your focus should be on understanding the concepts. This might take up some time, but it is all for the better. If you want to learn an advanced level of it, it might take a year or so because you need to clear your foundations.
4. What Can You Do with Python?
Python is a beginner-friendly code, and you can pretty much read like you read English. The career aspect of it is also very rewarding as the salaries are quite high. So, make sure you have an interesting LinkedIn profile!
4.1 Job Opportunities
Here are some job opportunities that you will find;
4.1.1. Python Back-end engineer and Developer
This involves writing a Python backend or a web server that can process and respond to the front end. It might also involve developing a computational backend. It is the backend engineer’s job to ensure that the algorithms work well. Apart from that, they have to look at the security aspect of it. The role of a developer is to write web services and APIs utilized by the front end.
4.1.2. Data Engineer
Python is used to collect data. Additionally, the libraries of this language help access them by web scraping and other methods to connect with a database. Data engineering has become the backbone of many famous tech giants like FAANG (Facebook, Apple, Amazon, Netflix, and Google). The job of a data engineer is to prepare the data which can be further used for analysis and prediction.
Data engineering is important to accomplish tasks of machine learning and deep learning. And for that, python is used. Modules like Pandas, Apache Spark, and NumPy have a huge role to play. These modules help data engineers to collect the data. They need to be well-versed with MySQL distributed computing and scalable architecture.
Finally, you need to have a deep interest in coding to take up the profession of data engineer. Check out this video below to understand more about data engineering
4.1.3. Robotic Processing Automation
In RPA, you are expected to use technology for repetitive tasks. It is in high demand now. For example, the banking and finance sectors heavily depend on RPA for customer care, e-commerce, record transactions, etc. A bot is developed to replace what was previously a human task. This does not involve much coding. You need to use RPA software such as Automation Anywhere or UiPath.
Unlike others, this job is very lucrative, as it does not involve coding. However, you need to apply Python for scripting and programming. You need to have a few skills for this job: problem-solving, strong analytics, and strategy.
Of course, programming languages such as C, C++, Java, and Ruby are important to know. With advancements in technology in every job sector, this job is very promising and booming. To conclude, RPA developers are responsible for the smoothness of the bots.
Check out this video to learn more about RPA and see if it is the best field for you
4.1.4. Machine Learning Engineers
Machine learning and artificial intelligence is an interconnected field. It is very much in demand and well paid. The work is to make machines understand data and produce a useful outcome. This is similar to how people learn and comprehend. The only difference is that we are trying to reduce errors, which is inevitable in the case of humans.
In machine learning, we try to produce accurate outcomes. One such example is training machines to recognize faces. The face recognition feature in our phones is an example of machine learning. Machine learning is also about understanding data. Big tech giants like the FAANG rely on our data, which helps them provide us with recommendations by understanding our patterns. For this, Python is used. One must use Python libraries best as they are very helpful.
4.1.5. Data Scientist
As the name implies, the job of a data scientist is to manage data and science together to get the best out of it. As the syntax is very easy in Python, data scientists prefer it. However, there is also a popularity of R language amongst data scientists. Python has a larger collection of data and will not be taken over by other languages any soon.
It has an edge in dealing with large data. And python is also providing opportunities for growth. As its programming is platform-independent, this makes it easier to work with. Forecast and bank institutions use it to predict and analyze data. Libraries such as Pythonscrapy and BeautifulSoup help to retrieve data for use.
4.1.6 Data Analyst
The work of a data analyst is to understand data and help their clients make use of it to make profits or improve their company value. Data analysts are mostly required by business and tech companies because they aim to earn maximum profits. The career of a data analyst is very rewarding as they have a high salary.
Data analysts are in high demand because the number of start-ups has been rising ever since. A good data analyst must have great mathematical and data/ stats analysis skills. Data analysts use Python to develop code for artificial intelligence, web development, and the Internet of Things (IoT). They rely on it because of its collaborative nature. The libraries of Python provide extensive information and support.
4.2 Tip to Learn
As we all know, practice helps us to improve. If you are wondering how hard is it to learn python, then try to dedicate some time solely to Python programming. Try solving as many questions and problems as possible. Set up an environment that enables you to learn.
4.3. Join the Python Coding Community
As you now know, Python is preferred by coders, so it would be a great idea to join communities of Python. Some may work online, while others might be offline. It is a great space for sharing knowledge.
4.4. Read a Book About Python
Books play an important role in imparting knowledge. You can refer to some books regarding how to learn Python in detail by renowned coders.
4.5. Watch tutorials
Watch YouTube videos of people who teach coding online. That will help you understand how different people solve different coding problems. Make sure you find your favorite programming teacher on YouTube so that you can stick to their videos because sometimes information from different people can be counter-productive.
4.6 Sign up for Classes
Many online websites conduct coding classes. Why not join a crash course and see how it works for you? There are free websites as well that help you teach Python. One such example is Khan Academy; they teach a variety of topics ranging from school-level education to college. Additionally, they ensure to provide exceptional quality education. You should definitely check it out!
Codefreecamp is another such site that teaches Python online. On their YouTube channel, they have uploaded a video that is around 4 hours long but covers essential topics of Python. You might give it a watch!
4.7. Python 1, Python 2, or Python 3: What to Choose?
There is a huge confusion about whether to start with Python 1, 2, or even 3. Python 1 is the basic version that a novice-level programmer should begin with, and with advancement, you can try Python 2 and Python 3, respectively.
Learning a programming language can take time. Patience is crucial because you might make errors on your first attempt.
Do not give up, as you will only learn from your mistakes. Learning how to code is the best thing you can do in the current world, which is extensively dependent on technology. Lastly, we all know we should learn how to adapt to the changing times. We hope we could cover everything you need to know about how hard is it to learn Python.