Python Tutorial

Introduction Python Features Python Applications Python System requirements Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python apply() function in python Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python Python Yield vs Return

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time ModulePython Random Module Python Calendar Module CSV Module in Python Python Subprocess Module

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Subprocess Python Virtual Environment Type Casting in Python Python Collections Python Attributes Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 2

What is Python 2

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

How to

How to Parse JSON in Python How to Pass a list as an Argument in Python How to Install Numpy in PyCharm How to set up a proxy using selenium in python How to create a login page in python How to make API calls in Python How to run Python code from the command prompt How to read data from com port in python How to Read html page in python How to Substring a String in Python How to Iterate through a Dictionary in Python How to convert integer to float in Python How to reverse a string in Python How to take input in Python How to install Python in Windows How to install Python in Ubuntu How to install PIP in Python How to call a function in Python How to download Python How to comment multiple lines in Python How to create a file in Python How to create a list in Python How to declare array in Python How to clear screen in Python How to convert string to list in Python How to take multiple inputs in Python How to write a program in Python How to compare two strings in Python How to create a dictionary in Python How to create an array in Python How to update Python How to compare two lists in Python How to concatenate two strings in Python How to print pattern in Python How to check data type in python How to slice a list in python How to implement classifiers in Python How To Print Colored Text in Python How to open a file in python How to Open a file in python with Path How to run a Python file in CMD How to change the names of Columns in Python How to Concat two Dataframes in Python How to Iterate a List in Python How to learn python Online How to Make an App with Python How to develop a game in python How to print in same line in python How to create a class in python How to find square root in python How to import numy in python How to import pandas in python How to uninstall python How to upgrade PIP in python How to append a string in python How to comment out a block of code in Python How to change a value of a tuple in Python

Sorting

Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort

Programs

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Misc

Introduction to Scratch programming SKLearn Clustering SKLearn Linear Module Standard Scaler in SKLearn Python Time Library SKLearn Model Selection Standard Scaler in SKLearn Accuracy_score Function in Sklearn Append key Value to Dictionary in Python Cross Entropy in Python Cursor in Python Data Class in Python How to Install Tweepy in Python Imread Python Program of Cumulative Sum in Python Python Program for Linear Search Python Program to Generate a Random String Read numpy array in Python Scrimba python Sklearn linear Model in Python Scraping data in python Accessing Key-value in Dictionary in Python Find Median of List in Python Linear Regression using Sklearn with Example Problem-solving with algorithm and data structures using Python Python 2.7 data structures Python Variable Scope with Local & Non-local Examples Arguments and parameters in Python Assertion error in python Programs for Printing Pyramid Patterns in Python _name_ in Python Amazon rekognition using python Anaconda python 3.7 download for windows 10 64-bit Android apps for coding in python Augmented reality in python Best app for python Difference between Perl and Python Not supported between instances of str and int in python Python comment symbol Python Complex Class Python IDE names Selection Sort Using Python Hypothesis Testing in Python Idle python download for Windows Insertion Sort using Python Merge Sort using Python Python - Binomial Distribution Python Logistic Regression with Sklearn & Scikit Python Random shuffle() method Python variance() function Python vs HTML Removing the First Character from the String in Python Adding item to a python dictionary Best books for NLP with Python Best Database for Python Count Number of Keys in Dictionary Python Cross Validation in Sklearn Drop() Function in Python EDA in Python Excel Automation with Python Python Program to Find the gcd of Two Numbers Python Web Development projects Adding a key-value pair to dictionary in Python Python Euclidean Distance Python Filter List Python Fit Transform Python e-book free download Python email utils Python range() Function Python random.seed() function What is the re.sub() function in Python Python PPTX Python Pickle Python Seaborn Python Coroutine Python EOL Python Infinity Python math.cos and math.acos function Python Project Ideas Based On Django Reverse a String in Python Reverse a Number in Python Python Word Tokenizer Python Trigonometric Functions Python try catch exception GUI Calculator in Python Implementing geometric shapes into the game in python Installing Packages in Python Python Try Except Python Sending Email Socket Programming in Python Python CGI Programming Python Data Structures Python abstract class Python Compiler Python K-Means Clustering NSE Tools In Python Operator Module In Python Palindrome In Python Permutations in Python Pillow Python introduction and setup Python Functionalities of Pillow Module Python Argmin Python whois Python JSON Schema Python lock Return Statement In Python Reverse a sentence In Python tell() function in Python Why learn Python? 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Installing Packages in Python

It's critical to understand that the term "package" here refers to a collection of software that must be installed (i.e. as a synonym for a distribution). It has nothing to do with the sort of package you import into your Python source code (i.e. a container of modules). The word "package" is commonly used in the Python community to refer to a distribution of code. There are those who prefer not to use the term "distribution" since it might be mistaken with a Linux distribution or another larger software distribution like Python itself.

Ensure that you can execute Python from the command line

Make sure you have Python installed and that the expected version is available from the command line before you continue. You may verify this by using the following command on your computer:

py --version

You should see something similar to Python 3.6.3 as a result. Please download Python 3.x from python.org or see the Hitchhiker's Guide to Python's Installing Python section if you do not have it already installed.

Note If it’s a newbie and that person may error similar to this:

>>> python --version
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'python' is not defined

This is because the instructions in this article are designed to be performed in a shell (also called a terminal or console). This lesson will teach you how to use your operating system's shell and how to communicate with Python.

Note: In an extended shell, such as IPython or the Jupyter notebook, system commands like those in this article can be prefaced by a Character run:

In [1]: import sys

!{sys.executable} --version

Python 3.6.3

Instead of using simple python, use sys.executable to guarantee that commands are executed in the Python installation that matches the current notebook.

Note this tutorial's python command and python3 -m pip - user command should be replaced with their Python 3 equivalents due to the way Linux distributions are managing the Python 3 migration. Users using the system Python should first create a virtual environment before continuing with the lesson. If you encounter a permissions problem while following this guide, return to the section on establishing virtual environments, put one up, and then follow the steps as stated.

Ensure you can run pip from the command line

Additionally, you’ll need to make sure you have pip available. You can check this by running:

py -m pip --version

It's likely that pip is already present if you installed Python via a source installation, an installer from python.org, or Homebrew. You may have to install pip individually if you're using Linux and the OS package management; see installing pip/setuptools/wheel with Linux Package Managers for more information.

Try installing pip from the standard library first if it isn't already there, then:

py -m ensurepip --default-pip

This should allow you to use pip instead of python -m.

Download get-pip.py safely and securely

Run the Python script get-pip.py. 2 This command will set up or upgrade pip as needed. Additionally, if setup tools and wheel aren't already installed, it will do it now.

Warning If your operating system or another package management manages your Python installation, proceed with caution. get-pip.py is incompatible with these other utilities and may cause havoc on your system. To install in /usr/local, use python get-pip.py —prefix=/usr/local/ instead of pip.

Make certain that pip, setuptools, and wheel are up to current.

Up-to-date versions of the setuptools and wheel projects are helpful to guarantee that you can also install from source archives, even if you just use pip.

py -m pip install --upgrade pip setuptools wheel

Creating a fictitious setting if desired.

For more information, see the section below, but here is how to run venv 3 on a normal Linux system:

py -m venv tutorial_env 
tutorial_env\Scripts\activate

This will build a new virtual environment in the tutorial env directory and set up the current shell to utilise it as the default Python environment.

Creating Virtual Environments

To avoid having to install Python packages everywhere, "Virtual Environments" in Python let you install them only where they're needed. See installing stand-alone command line tools for information on how to do so securely.

Assume you have a programme that requires LibFoo version 1 while another programme requires version 2. What's the difference between the two? You may accidentally update a programme that should not be upgraded if you install everything into /usr/lib/python3.6/site-packages (or wherever your platform's normal installation directory is).

Alternatively, what if you just want to install an app and forget about it? If an application is functioning, any change to its libraries or to the versions of those libraries will cause it to malfunction.

Also, what happens if you are unable to place packages in the global site-packages directory? You could do this, for example, if the host is shared.

Python virtual environments may currently be created with one of two tools:

Pip and setuptools are automatically installed in newly generated virtual environments in Python 3.4 and later when using venv, which is included by default in those versions of Python.

Although virtualenv must be installed separately, it supports Python 2.7 and Python 3.3, and pip, setuptools, and wheel are always included in newly generated virtual environments by default (regardless of Python version).

The fundamental way to use it is as follows:

Using venv:

py -m venv <DIR>

<DIR>\Scripts\activate

Using virtualenv:

virtualenv <DIR>

<DIR>\Scripts\activate

The usage of source under Unix shells ensures that the variables of the virtual environment are set within the current shell and not in a subprocess (which then disappears, having no useful effect).

Windows users should _not_ use the source command in either of the examples above, but should instead execute the activate script from the command shell as follows:

<DIR>\Scripts\activate

It may be hard to keep track of numerous virtual environments manually, therefore the dependency management lesson presents a higher level tool, Pipenv, that keeps track of a distinct virtual environment for each project and application you work on.

Installing from PyPI

Most people use pip to install packages from the Python Package Index by specifying a set of requirements before they run an install command. An optional version specifier follows the project name in a requirement specifier. PEP 440 includes a complete list of all presently supported specifiers. Here are a few real-world instances.

The most recent version of "SomeProject" may be installed by following these steps:

py -m pip install "SomeProject"

To install a specific version:

py -m pip install "SomeProject==1.4"

To install greater than or equal to one version and less than another:

py -m pip install "SomeProject>=1,<2"

Source Distributions vs Wheels

While pip may install from either Source Distributions (sdist) or Wheels, if both are available on PyPI, pip will opt for the more suitable Wheel. Use the –no-binary argument to disable pip's default behaviour.

It is possible to install a project with compiled extensions more quickly by using wheels instead of source distributions.

Instead of rebuilding the source distribution in the future, pip will locally construct a wheel and cache it for future installs if it cannot locate one to install.

Upgrading packages

Upgrade an already installed SomeProject to the latest from PyPI.

py -m pip install --upgrade SomeProject

Installing to the User Site

The user option can be used to install packages only for the current user:

py -m pip install --user SomeProject

See the pip documentation' User Installs section for additional details.

Note that in a virtual environment, the —user option has no effect; all installation commands will have an impact on the virtual environment.

This will install any command-line scripts or console entry points specified by SomeProject in the user's binary directory, regardless of whether they are already in your shell's PATH. Installing scripts to locations other than the PATH environment variable causes a warning to be shown. If the scripts aren't available in your shell after installation, you'll have to add the directory to your PATH

Python -m site —user-base and bin may be used to locate the user base binary directory on Linux and macOS. For example, if you want to print /.local (with extended to the absolute path to your home directory), you'll have to add /.local/bin to your PATH environment variable. Changing /.profile will permanently alter your PATH.

If you're using Windows, do py -m site —user-site to locate the user base binary directory and then replace site-packages with Scripts. C:UsersUsernameAppDataRoamingPython36site-packages, for example, might return, and you'd have to change your PATH to include it.



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