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We talk about Python Programming (Basic to Advance), RoadMap and why learn python?

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Python

Python is a high-level, general-purpose, and interpreted programming language used in various sectors including machine learning, artificial intelligence, data analysis, web development, and many more. Python is known for its ease of use, powerful standard library, and dynamic semantics. It also has a large community of developers who keep on contributing towards its growth. The major focus behind creating it is making it easier for developers to read and understand, also reducing the lines of code.

 

History: -

Python, first created in 1980s by the Guido van Rossum, is one of the most popular programming languages. During his research at the National Research Institute for Mathematics and Computer Science in the Netherlands, he created Python – a super easy programming language in terms of reading and usage. The first ever version was released in the year 1991 which had only a few built-in data types and basic functionality.

 

Later, when it gained popularity among scientists for numerical computations and data analysis, in 1994, Python 1.0 was released with extra features like map, lambda, and filter functions. Followed by which adding new functionalities and bringing newer versions of Python came into fashion.

 

1.     Python 1.5 released in 1997

2.     Python 2.0 released in 2000

3.     Python 3.0 in 2008 brought newer functionalities

4.     The latest version of Python, Python 3.10 was released in 2021

Python Advance

Python topics are too difficult for beginners. This is also reflected in our image. The trail requires experience and beginners with insufficient experience could easily get dizzy. Those who have successfully completed our beginner's tutorial or who have acquired sufficient Python experience elsewhere should not have any problems. As everywhere in our tutorial, we introduce the topics as gently as possible. This part of our Python tutorial is aimed at advanced programmers.

 

Most people will probably ask themselves immediately whether they are at the right place here. As in various other areas of life and science, it is not easy to find and describe the dividing line between beginners and advanced learners in Python. On the other hand, it is also difficult to decide what the appropriate topics are for this part of the tutorial. Some topics are considered by some as particularly difficult, while others rate them as easy. Like the hiking trail in the picture on the right. For people with mountain experience, it is a walk, while people without experience or with a strong feeling of dizziness are already dreadful at the sight of the picture.

 

When asked what advanced topics are, i.e. Python topics that are too difficult for beginners, I was guided by my experiences from numerous Python trainings.

 

Those who have successfully completed our beginner's tutorial or have had sufficient Python experience elsewhere should have no problems. As everywhere in our tutorial, we introduce the topics as gently as possible.

 

Python Roadmap for Beginners: -

Basics- Syntax, Variables, Data Types, Conditionals, Loops Exceptions, Functions, Lists tuples, set, dictionaries.

Advanced- List comprehensions, generators, expressions, closures Regex, decorators, iterators, lamdas, functionals programming, map-reduce, filters, threading, magic methods

OOP- Classes, inheritance, methods

Web frameworks- Django, Flask, Fast API

Data Science- NumPy, Pandas Seaborn Scikit-learn, TensorFlow, Pytorch.

Testing- Unit testing, integration, testing, end to end testing,load testing

Automation- File manipulations Web scraping GUI Automation Network Automation

DSA- Array & Linked lists, heaps stocks queue, hash tables, binary search tree, recursion, sorting Algorithms.

Package Managers- plp, Conda

 

This road map describe the areas of python and what is depth of Python, clearly visible what is the importance of Python.

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