A Method On How To Start Learning Python

A Method On How To Start Learning Python

Python is one of the world’s most popular programming languages and Python developers are not only high in demand because of the supply-demand but these developers are also generously compensated. If you are reading this post, it means that you have an interest in learning coding skills in Python. I’ll explain how to learn Python programming and get started as a Python developer.

  1. Why learn Python?
  2. How to get started as a Python Developer?

Why learn Python?

In the TIOBE Index 2019 for the popularity of programming languages, Python leapt from 4th to 3rd place. And in the top programming languages list by the IEEE spectrum for the year 2019, Python battled to the top. Python works well for beginners as well as experienced coders. But, what makes it so attractive is that Python is the preferred programming language for areas like Data Science, Artificial Intelligence, and Machine Learning. Thanks to its multiple libraries and great analytical capabilities, Python has become a powerful general-purpose language. So, if you think that Python is the go-to language for you, here is how you can get started.

Getting started as a Python Developer?

You have to take a very well planned approach in your mission to become a Python Developer. First of all, you need to master the fundamentals:

  • Data Types and Variables
  • Data Structures and Algorithms
  • Conditional and Control Statements, and Loops
  • Exception Handling and I/O Operations
  • File Handling and Modules
  • Database Knowledge

You have to master all the basic concepts above so that you have a strong foundation of the Python programming language. Once you are done, you can select a career path and master the skills you need for achieving your goals. Next, you can move on to the frameworks.

Most popular ones:

  • HTML, CSS
  • Flask or Django
  • Server Side development
  • MVC-MVT Architecture
  • Script Writing
  • Front end skills

Conquering these concepts and web frameworks will lead you to become a web developer. According to your specific skills, you will be able to develop web applications or GUI-based applications.

If you want to work towards the field of Data Science, you’ll need some of these skills:

  • Mathematics and Statistics
  • Libraries (NumPy, Matplotlib, Seaborn, Pandas)
  • Data Visualization
  • Data Analysis and Interpretation
  • Data Manipulation
  • Database Knowledge

These skills and concepts will take you a step closer to becoming an expert in Data Science. But, it is important that you keep practising. You can take up any dataset, analyze, and interpret the data. You can manipulate the data by making changes in the dataset.

Here are a few AI and Machine Learning concepts that you must be familiar with:

  • Machine Learning Algorithms
  • Libraries (Tensorflow, Keras, Scikit-learn)
  • Building Prediction Models
  • Statistics and Applied Mathematics
  • Problem-Solving skills

If you want to become a Data Scientist, you will need to learn these advanced concepts. You can begin by making prediction models for practising. Take a dataset and use a logistic regression model for predicting the result.

When you get better at programming, you can move further in the field of test automation. If you write Python scripts for checking the functionality as well as testing the processes, you will be able to master the automation skills.

Some other skills you can go for:

  • Computer Vision using OpenCV
  • Web Scraping using Requests Library, Beautiful Soup

With these skills, you will be able to become a better programmer. The key to becoming a better developer is implementing the theory that you have just learned.

In this post, I have discussed what is Python language and how you can become a Python developer through a planned learning approach.

If you follow this path, you will be able to reach your goal easily. But remember, the most important part is practising. As I mentioned before, you need to take a dataset and try using a logistic regression model for predicting the result.

There are several libraries you can take advantage of, but you will need to enrol in a certification program for jumpstarting your learning process.

I have uploaded some materials for download on my Mega account here.

Good Luck!

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