Server Side Programming Articles - Page 2622 of 2646

Organizing Python modules efficiently is important to maintain scalability and collaboration. Following best practices can make your project easier to understand and use. In this article, we will discuss about an structure approach to organize Python modules with a sample project and some of the best practices to organize. Sample Project Structure Samplemod is an example of a well-structured project that focuses on creating sample module. Below is the directory structure of this project - README.rst LICENSE setup.py requirements.txt sample/__init__.py sample/core.py sample/helpers.py docs/conf.py docs/index.rst tests/test_basic.py tests/test_advanced.py Let's look at these one by one - ... Read More

Python introduces new features with every latest version. Therefore, to check what version is currently being used we need a way to retrieve them. If a user implements features without the correct version, it can generate random issues. We can check the version using few different methods. These methods are discussed below. Using the Sys Module Using sys module, we can retrieve the current python module version. The following lines of code can be used to do so. import sys print(sys.version) Output The output obtained is as follows. 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0] ... Read More

Python has a capability that allows you to build and store classes and functions for later usage. A module is the name of the file that has these collections of methods and classes. A module may contain more modules. Let’s consider the following example to import multiple modules at once − import sys, os, math, datetime print ('The modules are imported') This imports all four of the following modules at once: datetime(to manipulate dates as date objects), math(consists of functions that can calculate different trigonometric ratios for a given angle), sys (for regular expressions), and os (for operating ... Read More

You cannot, in general encapsulate Python modules in a single file. Because doing so would destroy the module searching method that python uses (files and directories). If you are not able to install modules on a machine(due to not having enough permissions), you could use either virtualenv or save the module files in another directory and use the following code to allow Python to search for modules in the given module:>>> import os, sys >>> file_path = 'AdditionalModules/' >>> sys.path.append(os.path.dirname(file_path)) >>> # Now python also searches AdditionalModules folder for importing modules as we have set it on the PYTHONPATH.You can ... Read More

While installing cygwin, make sure you install the python/python-setuptools from the list. This will install "easy_install" package. Once you have easy_install, you can use it to install pip. Type the following command:$ easy_install-a.b pipYou must replace a.b with your python version which can be 2.7 or 3.4 or whatever else. Now you can use pip to install the module you want. For example, To install the latest version of "SomeProject":$ pip install 'SomeProject'To install a specific version:$ pip install 'SomeProject==1.4'To install greater than or equal to one version and less than another:$ pip install 'SomeProject>=1,Read More

Here is a sample project that shows a very good way to structure your projects: https://github.com/kennethreitz/samplemod The project is about creating the "sample" module. The directory structure looks as follows:README.rst LICENSE setup.py requirements.txt sample/__init__.py sample/core.py sample/helpers.py docs/conf.py docs/index.rst tests/test_basic.py tests/test_advanced.pyThe README.rst file: This file is for giving a brief description of the module, how to set it up, how to use it, etc.LICENSE: Contains license text and any copyright claims.setup.py: It is Python's answer to a multi-platform installer and makes file. If you’re familiar with command-line installations, then make && make install translates to python setup.py build && python setup.py ... Read More

You need to have Python, pip, virtualenv, awswebcli and a SSH client installed to set up your Python Development Environment on AWS. You can follow instructions at http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/eb-cli3-install.html to install these.Once you have all those installed, you need to set up a virtual environment so that your global packages do not get polluted. Use the following command to set up a virtual environment:$ virtualenv -p python2.7 /tmp/hello-world Running virtualenv with interpreter /usr/bin/python2.7 New python executable in /tmp/hello-world/bin/python2.7 Also creating executable in /tmp/hello-world/bin/python Installing setuptools, pip...done.Once your virtual environment is ready, start it by running the activate script located in the ... Read More

Assuming you have set up Python 3.6, Pipenv and heroku CLI installed locally and are logged in on Heroku from the CLI using the steps mentioned here: https://devcenter.heroku.com/articles/getting-started-with-python#set-up.Your application needs to have a git repository to be deployed to heroku. You need to cd in the directory where the root of your git repo code resides. Now you need to create a heroku application using:$ heroku create Creating lit-bastion-5032 in organization heroku... done, stack is cedar-14https://lit-bastion-5032.herokuapp.com/ | https://git.heroku.com/lit-bastion-5032.gitGit remote heroku addedWhen you create an app, a git remote (called heroku) is also created and associated with your local git repository. ... Read More

While working in python, we will need external libraries or modules to solve the specific problems. This can be done by using the python built-in package manage pip making it easy to install, upgrade and manipulate packages. In this articles, we will learn how to use pip to install the python modules in easy way. pip The pip stands for 'pip installs packages'. It is the default package installer for python and is used to install the packages from the python package index and other indexes. For checking if the pip is installed or not, run the ... Read More

A file containing Python code, definitions of statements, functions, or classes is known as a module. A module with the name "module" that we will construct is a file named module.py. To break down complex programmes into smaller, easier-to-understand parts, we use modules. Code reuse is another benefit of modules. In this article, we will discuss various ways to find which Python modules are being imported from a package. Using List Comprehension To iterate over each element in the Python list, a list comprehension is made out of brackets carrying the expression, which is then run for each element. Python ... Read More