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HOW TO BECOME AN EXPERT PYTHON PROGRAMMER
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HOW TO BECOME AN EXPERT PYTHON PROGRAMMER

Python is an interpretable, high-level, general-purpose programming language. In its design philosophy, extensive indentation emphasises code readability. Its language elements and object-oriented approach are designed to help programmers write clear, logical code for both minor and large projects.

Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural) programming, object-oriented programming, and functional programming. It is commonly referred to as a “batteries included” language because of its extensive standard library. Guido van Rossum developed Python in the late 1980s to supplant the ABC programming language.

In 1991, Python 0.9.0 was the first version to be released. Python 2.0 was released in the year 2000, introducing new features such as list comprehensions and a garbage collection system based on reference counting. Python 3.0 was released in 2008, and it represented a substantial and incompatible change to the language. Python 2 was deprecated with version 2.7.18 in 2020.

In this post, I will outline the entire path to becoming a proficient/professional Python programmer, beginning as a beginner. I will discuss some of the following headings:

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Python coding expertise

Structure and algorithms of data

Debugging abilities

Utilising libraries intelligently

Best coding practises and PEP8

Opensource contribution

Master the discipline of requesting assistance

Projects, projects, projects

Python Programming Capabilities

Python Programming Capabilities Essentially, this can be separated into three categories: novice, intermediate, and advanced. For fundamental skills, you must be familiar with radio buttons, numbers, strings, and other primitive data types; subsequently, you can study advanced data types such as dictionary and tuple. You must understand if for control blocks, functions, read and write file and module operations.

 

Exception handling, classes and objects, inheritance, iterators, generator, list/dictionary comprehensions, sets, and command line argparse are required for the intermediate level. Object-Oriented Programming (OOP) and classes enable code modularization and facilitate the design of large, maintainable software projects. Python’s list/dictionary and comprehension capabilities are among its most potent features. It not only enables you to write complete codes, but also improves the performance of your programme. You can also familiarise yourself with set and command line argument parsing.

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This includes advanced topics such as multitasking, multithreading, multiprocessing, multiprocessing lock and pool, unit tests: pytest, decorators, and context managers, among others.

Structure and algorithms of data

Possessing a solid foundation in data structure and algorithm is the most effective method to become an expert in the Python programming language. Without these skills, it is somewhat challenging to write a decent and efficient Python programme.

Debugging abilities

I have worked with many Python programmers, and one thing they all have in common is debugging skills. If you have excellent debugging skills, a programming error will not disappoint you, and it will be easy to fix.

Utilizing libraries intelligently

The reason python is so popular is because it has a large number of libraries that can be used to make your work easier. For example, nopi is a numerical computing library that makes it easy to work with multidimensional arrays and perform computations. If you don’t know about the nopi library and you want to perform computations, it can be somewhat laborious. A proficient Python programmer is one who can write sensible code. On the basis of your knowledge of code organisation, you must organise your code on a good layout so that it is readily manageable.

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Opensource contribution

Contributing to an open source project will enhance your understanding of Python programming and increase your experience.

Master the discipline of requesting assistance

You must understand how to pose questions on Google and in online communities such as stackover and geeksforgeeks. You don’t need to ask for direct answers, but if you’re looking for a mentor, the majority of people are online and willing to assist. If you have a role model, you’ll soon be writing better, more maintainable Python code.

 

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