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How To Learn Python & Get Started As A Python Developer

Python is one of the world’s most popular programming languages. Python developers are not only high in demand because of the supply-demand gap but these developers are also handsomely compensated. If you are reading this article, it means that you wish to explore and learn coding skills in Python. This article explains how to learn Python programming and get started as a Python Developer.

Table of Contents

  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 leaped from fourth to third place. And in the top programming languages list by the IEEE spectrum for the year 2019, Python was at 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.

How to get started as a Python Developer?

You have to take a structured approach in your quest 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 above-mentioned basic concepts 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. Here are the most popular ones:

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

Mastering 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, here are some of the skills you will need:

  • 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 practicing. 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 practicing. 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. Here are some miscellaneous skills you can go for:

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

With these miscellaneous 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 article, we have discussed what is Python language and how you can become a Python developer through a structured learning approach. If you follow this path, you will be able to reach your goal easily. But, the most important part is practicing. As said earlier, 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. What you need to do is enroll in a certification program for jumpstarting your learning process.

Happy learning!

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