Why Learn Python
Python is one of the best programming languages of the 21st century. It's not going anywhere anytime soon. Why? Well, because it's easy to learn, a clean and structured programming language with powerful capabilities.
So having seen how important a programming language Python is, How exactly should a beginner start to learn it. One of the most frustrating things about learning a programming language is how generic the learning resources are, which makes newbie programmers quit learning particular programming because of how intimidating learning may seem.
So what exact path should a beginner take to learn Python programming language. Where should I start? What projects should I do? What frameworks should I use?
This is the learning path I would take to learning Python as a newbie programmer. This is just my research of what works for me and what I believe could work for you. So without further ado let's get it.
- Python Basics
- Data Structures and Algorithms
- Web Development
- Web Scraping and Automation
- Artificial Intelligence and Machine Learning
Python Basics
This is the most important step of learning python as it simply cannot be skipped, You have to learn the very basic syntax of the programming language, this will serve as a foundation for you to go into any deeper learning. You however should not waste too much time on this as it's not very motivating. You can check out books to learn to program, pick one of the numerous courses on Udemy. You can even learn it for free on python's official website.
Data Structures and Algorithms
DSA is the next path to take as a newbie developer. learning Data Structures and Algorithms can be daunting and difficult, it was for me.but one should not that it is one of the most important skills to have, not just as a Python Programmer, but as an overall programmer. This is because programmers that are proficient in Data Structures and Algorithms can easily perform any task about Calculations, Data Processing, Automated Reasoning, etc.DSA shows your problem-solving skills and abilities among prospective employers.
Web Development
One area Python shines is in the area of web development. With a variety of frameworks to choose from including Flask, Django, Web2Py, Bottle.py, CherryPy. Being proficient in web development with python will enable you to create almost any web application of your choice. Web Development is also a very lucrative field, hence knowing web development will provide you with higher job opportunities.
Web Scraping and Automation
Python is mostly known as one of the best web scraping languages. This enables you to handle web crawling/scraping processes smoothly. BeautifulSoup is one of the most python frameworks that make web scraping an easy task to do. And Python also enables one to create scripts that automate repetitive tasks in a very efficient way.
Artificial Intelligence and Machine Learning
Another area where Python shines is in the area of AI and ML as it has been pegged as the est Programming language for AI. It offers great libraries and frameworks as it offers scientific computations, statistical calculations, computational capabilities, and much more. So if you fancy creating the next JARVIS, you can't go wrong with Python
Projects
This one although not on the list is one of the things you should not outlook, as much as you will be learning the programming language, you must build projects. This does not only solidify your learning and skills, it's going to provide you with an arsenal of projects you can show to prospective employers. So even as you learn... Build
What Do You Want to Do
It's important to note that this is from a personal point of view. Learning paths should be done based on what you want to do with the language of your choosing, The learning path for a data scientist or mobile developer might be completely different from the ones I've stated above. This is a more generalized way of learning the programming language.
I will be writing a more detailed article on the resources to use to learn soon. Follow and Subscribe so that you don't miss out.
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