How to Publish Python Packages to PyPI

Always wanted to publish a package on PyPI, but didn’t know where to start? This talk is for you! Starting with nothing, we’ll build a package and publish it on PyPI using current best practices.

Learn how to structure your project and your code. Discover what goes in your coderequirements.txt/code and your codesetup.py/code. Ensure your code will work in different on different platforms! Document your code so people won’t ask you loads of questions! Finally, learn how avoid doing any of this yourself.

This talk will cover:

  • Why should you package your code for PyPI?
  • How to structure your project and your code, including why you need a codesrc/code folder!
  • Discover what goes in your codePipfile/code and your codesetup.py/code, and why. Learn the difference between installing your library to use it, and installing it to develop on it.
  • Write tests for your project, and run them using Tox.
  • Ensure your code will work in different on different platforms with
  • Continuous Integration!
  • Document your code so people won’t ask you loads of questions!
  • How to actually get your code on PyPI using Twine.
  • Finally, learn how avoid doing any of this yourself (or avoid doing it twice) using CookieCutter templates.

#python #web-development #machine-learning

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How to Publish Python Packages to PyPI
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

Ray  Patel

Ray Patel

1619571780

Top 20 Most Useful Python Modules or Packages

 March 25, 2021  Deepak@321  0 Comments

Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:

  1. Web Development
  2. Data Science
  3. Machine Learning
  4. AI and graphical user interfaces.

Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.

#python #packages or libraries #python 20 modules #python 20 most usefull modules #python intersting modules #top 20 python libraries #top 20 python modules #top 20 python packages

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

How to create a python package and publish to PyPI

The Python Package Index (PyPI) is a repository of python packages contributed by open-source python community to help others. What’s the purpose of creating packages? Without them, we would have to rely on sharing the code by copy/paste which is not efficient. A package can have pieces of code that grab data from an API, do some manipulations on inputs etc. Let’s see an example of python package I created to convert text to braille and steps to publish to PyPI.

Step 1: Set up the folder structure

Create a folder structure in the format shown below. The main package folder name should be same as your package name. The folder that contains your code can be named anything. Here I have kept the name same as the main package folder.

.
└── pybraille (main package folder)
    └── pybraille (folder that contains your code)
        └── your code here

Step 2: Add your code

Place all the class or script files in the folder that contains your code and add a init.py file. The init.py file should contain the import statements to expose only the required classes and functions you want the user to access. from pybraille.main import convertText, convertFile

**Also, you can add a list named all in the init.py file containing the module names. This allows the user to import all the module names mentioned in all variable when **from package import * is encountered.

__all__ = [‘convertText’, ‘convertFile’]

#pip #python-packages #python-programming #pypi #python

Ray  Patel

Ray Patel

1625859240

Difference Between Python Module and Python Package?

Difference between python module and python package?

What’s the difference between a Python module and a Python package?

Module:  It is a simple Python file that contains collections of functions and global variables and has a “.py”  extension file. It’s an executable file and we have something called a “Package” in Python to organize all these modules.

Package:  It is a simple directory which has collections of modules, i.e., a package is a directory of Python modules containing an additional init.py  file. It is the init.py  which maintains the distinction between a package and a directory that contains a bunch of Python scripts. A Package simply is a namespace. A package can also contain sub-packages.

When we import a module or a package, Python creates a corresponding object which is always of type module . This means that the dissimilarity is just at the file system level between module and package.

#technology #python #what's the difference between a python module and a python package? #python package #python module