Nina Diana

Nina Diana


pip: PyPI Package Manager in python

PIp is python’s most widely used package manager. Installed by default for versions of python. It is similar to the node’s npm, ruby on rails gem if anyone has ever used it.

  1. Install packages
  2. To install the latest version of a package:
pip install somepackage
  1. To install a certain version, use the following syntax:
pip install SomePackage==1.x.x
  1. Or specify the minimum version you want to install:
pip install SomePackage>=1.0.4
  1. If permission denied errors appear, we use the sudo command to install them.
  2. There is a package.json file in the node to save the packages with the version we have installed. And then if the calf goes somewhere else, just use the command
npm install
  1. Is to automatically install everything in the package.json file. Similarly, in python we can create requirements.txt file. This file is similar to package.json file. Use pip to install via requirements.txt file:
pip install -r requirements.txt
  1. To create requirements.txt file we do:
pip freeze > requirements.txt 
  1. Create requirements.txt in the current virtualenv:
pip freeze --local > requirements.txt
  1. List all installed packages used pip To list all installed packages (already exists in the requirements.txt file or not):
pip list
  1. List all packages outdate and show the latest versions of those packages.
pip list --outdated
  1. Above are the packages I installed in my own computer.
  2. Upgrade packages
  3. To update the package:
pip install --upgrade SomePackage
  1. Sometimes we will get a notification that pipour version is not the latest version.
pip install --upgrade pip
  1. This command will upgrade pipto the latest current version (It looks like it is currently 19.0.3). We can see the version ofpip
pip -V
pip --version
  1. Uninstall Packages
pip uninstall SomePackage
  1. Use a certain version of python with pip
  2. If your system uses both python2 and python3 and the default is python2. Usually when used:
pip install [package]
  1. It will understand you are using to install on for python2. It is similar to the command:
pip2 install [package]
  1. If you want to install it on python3:
pip3 install [package]
  1. You can also set your python default to be python 3. That’s it
pip install [package]
  1. will install by default on python3.
  2. Recommend:
  3. If you use multiple versions of python, it is best to use virtuarlenv. It will separate the versions of python and the installation packages for each version.
  4. Conclusion
  5. Above is an introduction to pip. What probably needs to know when starting with python. Hope the article will be useful to you. Thanks for reading.

#python #programming

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pip: PyPI Package Manager in python
Ray  Patel

Ray Patel


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

How to Install Pyenv on Ubuntu 18.04

What is Pyenv?
Pyenv is a fantastic tool for installing and managing multiple Python versions. It enables a developer to quickly gain access to newer versions of Python and keeps the system clean and free of unnecessary package bloat. It also offers the ability to quickly switch from one version of Python to another, as well as specify the version of Python a given project uses and can automatically switch to that version. This tutorial covers how to install pyenv on Ubuntu 18.04.

#tutorials #apt #debian #environment #git #github #linux #package #package management #package manager #personal package archive #ppa #pyenv #python #python 3 #python support #python-pip #repository #smb #software #source install #ubuntu #ubuntu 18.04 #venv #virtualenv #web application development

Ray  Patel

Ray Patel


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


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

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 file. The 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 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