We talk
about Python Programming (Basic to Advance), RoadMap and why learn python?
And we provide
python course or get certificate with guaranteed jobs Opportunities.
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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