Python 3.9.0 is Out! Major New Features of the 3.9 Series

Python is a widely-used general-purpose, high-level programming language. Every Release of Python is open-source. Python releases have also been GPL-compatible. Any version of Python can be downloaded from Python Software Foundation website at python.org

This article describes the latest features in Python 3.9, compared to 3.8.

Python 3.9.0

Release Date: Oct. 5, 2020

This is the stable release of Python 3.9.0

Python 3.9.0 is the latest major release of the Python programming language, and it contains many optimizations and new features.

Installer news:

Python 3.9.0 is the first version to default to the 64-bit installer on Windows. The installer can also disallow installation on Windows 7. Python 3.9 is unsuited with this unsupported version of Windows.

Note: Python 3.9+ cannot be used on Windows 7 or earlier versions.

You can download it from the below link,

https://www.python.org/downloads/release/python-390/

Now scroll mouse on downloads from top menu options and a window will be highlighted, there you can click on Python 3.9.0 button provided below the download for windows option.

Python 3.9.0 is out! Major new features of the 3.9 series-1

If you want to download for different OS’s click on view the full list of downloads available. You can see the below image.

Python 3.9.0 is out! Major new features of the 3.9 series

Or else go to the below link.

https://www.python.org/downloads/

#python #web-development #machine-learning #programming #developer

What is GEEK

Buddha Community

Python 3.9.0 is Out! Major New Features of the 3.9 Series
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Biju Augustian

Biju Augustian

1574340704

The Python 3 New Features from Python Enhancement Proposal

Description
Python 2 will end of life in 2020!!!

If you are a Python 2 developer, it’s time to porting your code into Python 3 !!!

Course Summary

If you are a Python 2 developer and haven’t had the chance to use Python 3, this course is for you. We will talk about Python 3 new feature with demos and make sure you can understand them all
What’s this course about and why you should take it?

This course let you master the new and cool features in Python 3
We assume you have a base knowledge of the subset of Python that runs in Python 2 and 3. We dive deep into every aspect of Python 3 and the PEP’s that prompted those changes. From advanced string formatting, number updates, changes in classes and functions, to Unicode, Type annotation and synchronous Programming, this course covers it all. You will see the features in action and try them out for yourself
Who is this course for?

For anyone who has wanted to dive into the new features of Python 3. It is quite easy to write code that works in both Python 2 and 3. Many old Python developers are used to the features of 2 and have never looked into all of the new features that Python 3 provides. Many new programmers are using Python 3, but are missing out on new features like async and annotations
Existing Python 3 users: If you aren’t using Python to its full potential, you owe it to yourself to checkout this course and see a wealth of Python 3 features that you might not even know exist. You will see and explore most of them in this course!
Basic knowledge
Requirements

Beginner level of python 2 programmer
A computer installed Python 3
What will you learn
understand the differences between Python 2 and Python 3
can port their own code from python 2 to python 3
write python 3 native code
learn Python 3 new feature

# Python 3 #Python Enhancement Proposal # Python 3 New Features from Python Enhancement Proposal

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Luna  Hermann

Luna Hermann

1598897520

What Are The New Features in Python 3.9?

It’s that time again, a new version of Python is imminent. Now in beta (3.9.0b3), we will soon be seeing the full release of Python 3.9.

Some of the newest features are incredibly exciting, and it will be amazing to see them used after release. We’ll cover the following:

  • Dictionary Union Operators
  • Type Hinting
  • Two New String Methods
  • New Python Parser

— this is very cool

Let’s take a first look at these new features and how we use them.

Dictionary Unions

One of my favorite new features with a sleek syntax. If we have two dictionaries a and b that we need to merge, we now use the union operators.

We have the **merge **operator |:

a = {1: 'a', 2: 'b', 3: 'c'}
b = {4: 'd', 5: 'e'}
c = a | b
print(c)

[Out]: {1: ‘a’, 2: ‘b’, 3: ‘c’, 4: ‘d’, 5: ‘e’}

And the **update **operator |=, which updates the original dictionary:

a = {1: 'a', 2: 'b', 3: 'c'}
b = {4: 'd', 5: 'e'}
a |= b
print(a)

[Out]: {1: ‘a’, 2: ‘b’, 3: ‘c’, 4: ‘d’, 5: ‘e’}

If our dictionaries share a common key, the key-value pair in the second dictionary will be used:

a = {1: 'a', 2: 'b', 3: 'c', 6: 'in both'}
b = {4: 'd', 5: 'e', 6: 'but different'}
print(a | b)

**[Out]: **{1: ‘a’, 2: ‘b’, 3: ‘c’, 6: ‘but different’, 4: ‘d’, 5: ‘e’}

Dictionary Update with Iterables

Another cool behavior of the |= operator is the ability to **update **the dictionary with new key-value pairs using an iterable object — like a list or generator:

a = {'a': 'one', 'b': 'two'}
b = ((i, i**2) for i in range(3))
a |= b
print(a)

#python #python-programming #latest-tech-stories #python-top-story #python3 #learn-python #programming #python-tips