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Python programming language is one of the most popular programming languages in the world right now. With the ease of access and easier implementations of complex-looking tasks, the Python programming language has made its mark in the IT industry. The number of developers switching to Python evident that people all around the globe are adamant to learn Python.
The scalability of the Python programming language is immense and can be implemented almost in every domain. Data Science has reached another milestone with Python, and the amount of data flowing in each year, Python came as a savior and helped achieve revolutionary developments in the Data Science market.
The amount of jobs created each year has also taken a hockey stick growth with an expected 2 million jobs in the year 2020 alone. And this is just the case with Data Science when it comes to other career paths, Python is equally desirable by any other organization. The giants of the industries like Amazon, Facebook, Instagram, YouTube, etc, are just the tip of the iceberg. When we explore the Python job market, there is an expected increase in the jobs related to Data Science, which would amount to close to 700,000 jobs in the year 2020 alone.
This article is a structured approach to learning Python programming. You can begin your journey with the Python programming language even if you are a beginner, this article covers the in-depth knowledge in Python programming starting from the very basics.
Starting your journey in Python requires that you are familiar with how the technology actually works. And the very first thing that you would learn is how you can set up the Python environment on your systems and choose the best IDE that would help you in the best possible ways.
After you are done with setting up the Python environment, installing suitable IDEs you must begin your learning with the very basics. Even though the basics are pretty similar to any other programming language, but you must master them in Python as well to build strong debugging and scripting skills.
When you are done with the basic concepts in Python, head to the advanced concepts in Python that will give you a clearer perspective on how things are done with Python with advanced Python concepts.
When you are done mastering the basics and advanced concepts in Python, you can begin your journey with Data Science with Python. Since, Data Science is the hottest job profile in the current market scenario, learning Data Science with Python will give you professional growth as well.
Machine Learning is another aspect of learning Python. With sophisticated library support and features that Python offers, you can work with different projects and master your skills to become a Machine Learning expert.
Artificial Intelligence with Python serves as a means to technological advancements, master your AI skills with Python.
Web development with Python is as easy as writing a program in simple English language.
Here are some other Python tutorials to get you up to speed with Python programming.
This brings us to the end of this article. I hope you are clear with the structured approach that you should follow to learn Python.
If you found this article on “Learn Python” relevant, check out Edureka’s Python Programming Certification Course a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe.
We are here to help you with every step on your journey and come up with a curriculum that is designed for students and professionals who want to be a Python developer. The course is designed to give you a head start into Python programming and train you for both core and advanced Python concepts along with various Python frameworks like Django.
If you come across any questions, feel free to ask all your questions in the comments section of “Learn Python”. Our team will be glad to answer.