The Best Way to Learn Python for fresher
A job in Python is a dream for many. Plus, there are a number of industries with a high demand for Python developers. For example, in the financial sector, where Python can help you in developing trading systems. In the insurance sector, one can formulate smart apps using Python to process claims and offer customers better services. And also, in the healthcare sector, where one can develop applications like patient monitoring and more. Hence, due to its usage and popularity, the Python crash course is gaining traction among youngsters.
So, for intrested beginners, there are two effective approches to learn Python; let us have a look at those:
Ways to learn Python for freshers
One involves taking a python certification online course, and another is learning through an online tutorial which might take around a year. However, with online courses, you’ll learn Python from scratch, understand each and every basic principle, learn all the concepts that you need to know to be a great programmer. You’ll also learn how to write high-quality code that you can use in the upcoming years of your career.
Look for a certified Python online course that offers essential Python learning materials including real-world projects. Hence, you can learn almost everything along with a practical approach.
On the other hand, you can learn Python with free online tutorials. But it will be slow, and if you are not good at learning things on your own, you might find yourself stuck somewhere. Hence, we advise you to go for the best python certification course available now because it is the right time for it. However, it completely depends on your preference and capacity. In fact, both of these ways will help you learn the subject effectively, but with different durations.
What course materials should you focus on?
As a fresher in the area, you need to build a strong foundation in a few learning spaces concerning Python. These are as follows:
- Python syntax and installation
- Fundamentals such as statements, operators, and variables.
- Distinctions between Python 3 and Python 2.
- Learn data structures, including sets, lists, and dictionaries.
- Decision-making process and loops
- Virtual settings
- Recursion and functions.
- Learn OOP concepts, including methods, classes, inheritance, and overloading.
- Packages and modules.
- File management.
- Learn about generators, decorators, and iterators.
- Regular expressions and random numbers.
- Managing exception.
- GUI, Networking, multiprocessor, and XML processing.
- Programming libraries like Pandas, SciPy, NumPy.
- Logging, testing unit, debugging, serializing, and accessing the database.
- Have expertise in more than two high-quality programming languages.
Hence, it would be feasible if you opt for a prominent Python crash course and guide that can effectively teach you all these topics within a reasonable course period.
Other effective ways to Learn Python
Aside from online Python programming certification and online tutorials, there are a few more resources that you can use to learn Python regardless of you being a beginner or not.
Let’s have a look at other options as well:
- Available A-rated books on Python learning, make sure to check reviews of previous buyers and outline of the book contents.
- Get hold of official documentation of Python from reliable sources.
- Participate in accessible Python Projects.
- Exclusive blogs on Python where experts in the field share their insights for free. However, some blogs might ask you to pay a monthly subscription for free. But, in the end, it would be beneficial for you.
If you are just starting out with Python, you should initially learn about the constructs of Python. Also, it is okay to start with simple concepts, but after that, you should build some personal projects on your own to resolve problems you encounter on a daily basis. Or, if you feel confident, you can participate in some big open-source Python projects such as Django.
Take up a data science internship
A data science internship can be a great way to understand how business works and the problems that companies are facing. We definitely recommend an internship because it will help you get to know the industry, the language, the tools, and just experience the use of Python in data science in general.
Furthermore, if you want to land the job of your dreams in Python, it is one of the things that will help you get noticed. It’s not just about filling in the blanks. But, building a great portfolio, which will highlight your hard skills and soft skills. Your experience will be more impressive if you can add any hackathon projects that you were a part of during your internship.
Conclusion
Python is one of the most powerful programming languages in the world. Thousands of developers use it worldwide to build web applications, scientific apps, games, data analytics programs, etc. This is why plenty of freshers want to take up python programming certification and make a career in this space. Further, explore the Global Tech Council to learn more valuable information like this.
