How to learn Python in depth?
After becoming acquainted with the basics of Python, a coder may wish to become familiar with the more advanced features available to them. Python-guide.org is one of the most widely used resources online that regularly publish tutorials, covering everything from beginner basics to advanced libraries. Your other option is something like the Advanced Python Course here at UCode.
Having an in-depth understanding of Python implies a lot of time and effort has been spent familiarizing themselves with the core features of Python and implementing code into a projects over a wide variety of contexts. A coder can roughly gauge their comprehension of the Python language by undertaking some of the challenges available at pythonchallenge.com or hackerrank.com, which are built for this purpose. They are also quite useful as resources to improve your existing skills.
There is a wide amount of directions one can go when developing with Python, though some of the most commonly used areas are data science, web development and system administration. It is beneficial to the learner to identify which area they would like to focus their learning on before proceeding.
Python provides a huge set of libraries for each of these purposes. A library is a set of programmatic functions which have been written to satisfy a particular purpose, and are available to be reused. Many libraries are packages with their own set of ‘rules’ in order to be used within other software. For example, Django, Flask, and Turbo Gears are popular tools to aid web development and database management. Being able to identify and properly implement these libraries is an important trait of any experienced developer.