- Python Online Compiler
- Taking inputs (stdin)
- About Python
- Tutorial & Syntax help
- Loops
- 1. If-Else:
- Note:
- 2. For:
- Example:
- 3. While:
- Collections
- 1. List:
- Example:
- 2. Tuple:
- Example:
- 3. Set:
- Example:
- 4. Dictionary:
- Example:
- Supported Libraries
- Online Python IDE
- About Python
- Why Learn Python?
- Features of Online Python Compiler (Interpreter)
- Learn Other Programming Language?
- Share Python Code – a runnable Pastebin
- Privacy
- Duration
- Acceptable Use Policy
- Python Pastebin Tips
- Online Python IDE
- About Python
- Why Learn Python?
- Features of Online Python Compiler (Interpreter)
- Learn Other Programming Language?
Python Online Compiler
Write, Run & Share Python code online using OneCompiler’s Python online compiler for free. It’s one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler’s Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
Taking inputs (stdin)
OneCompiler’s python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys name = sys.stdin.readline() print("Hello "+ name)
About Python
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It’s is highly productive and efficient making it a very popular language.
Tutorial & Syntax help
Loops
1. If-Else:
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression #code elif conditional-expression #code else: #code
Note:
Indentation is very important in Python, make sure the indentation is followed correctly
2. For:
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
Example:
mylist=("Iphone","Pixel","Samsung") for i in mylist: print(i)
3. While:
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
Collections
There are four types of collections in Python.
1. List:
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
Example:
mylist=["iPhone","Pixel","Samsung"] print(mylist)
2. Tuple:
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
Example:
myTuple=("iPhone","Pixel","Samsung") print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung") print(myTuple) myTuple[1]="onePlus" print(myTuple)
3. Set:
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
Example:
4. Dictionary:
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key — value pairs.
Example:
Supported Libraries
Following are the libraries supported by OneCompiler’s Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
Matplotlib | Matplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it’s numerical mathematics extension NumPy |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |
Online Python IDE
Build, run, and share Python code online for free with the help of online-integrated python’s development environment (IDE). It is one of the most efficient, dependable, and potent online compilers for the Python programming language. It is not necessary for you to bother about establishing a Python environment in your local. Now You can immediately execute the Python code in the web browser of your choice. Using this Python editor is simple and quick to get up and running with. Simply type in the programme, and then press the RUN button! The code can be saved online by choosing the SHARE option, which also gives you the ability to access your code from any location providing you have internet access.
About Python
Python, which was initially developed by Guido van Rossum and made available to the public in 1991, is currently one of the most widely used general-purpose programming languages. Python’s source code is freely available to the public, and its usage and distribution are unrestricted, including for commercial purposes. It is widely used for web development, and using it, practically anything can be created, including mobile apps, online apps, tools, data analytics, machine learning, and so on. It is intended to be straightforward and uncomplicated, much like the English language. When compared to other programming languages such as C++, Java, and C#, it is a lot simpler to read and write Python programs. Because of its excellent productivity and efficiency, it has become a very popular choice for use as a programming language.
Why Learn Python?
- Python is a simple language to pick up. It has a simple syntax, and the code is quite easy to read.
- Python is useful in a wide variety of contexts. It is put to use in the creation of quick application development, data science, Internet of Things, and web applications, among other things.
- When compared to most other programming languages, it enables you to develop applications using a smaller number of lines of code.
- It has a very huge community behind it, and there are active forums for users to participate in.
- The presence of Third Party Modules contributes to the increased power of the Python programming language.
- The user is able to easily solve difficult problems with the help of extensive support libraries (for example, NumPy, which is used for numerical computations and Pandas, which is used for data analytics).
- It includes extremely user-friendly data structures, which simplify both the design of the code and the reasoning behind it.
- The number of people using Python is constantly on the rise. It has quickly become one of the most widely used programming languages.
Features of Online Python Compiler (Interpreter)
- Design that is Uncomplicated and Sparse, along with Being Lightweight, Easy, and Quick to Use
- Version 3.8 of Python is supported for interactive program execution, which requires the user to provide inputs to the program in real time.
- Options for a dark and light theme, as well as a customised code editor with additional themes, are helpful for novices learning and practising Python.
- Options to Undo or Redo Changes Made in the Code Editor Options to Copy or Download the Results of the Program Expandable Output Terminal Options to Undo or Redo Changes
- A hint for the frequently occurring problems in Python
- Interactive Python Shell Advanced Python module support relevant to Data Science, including Pandas and NumPy Coding sharing functionality allows you to save your code in the cloud, where it can be retrieved whenever and wherever there is internet connectivity.
Learn Other Programming Language?
Visit online-ide.com to learn and practice top programming languages — C, C++, Java, Ruby, PHP, R, GoLang
Share Python Code – a runnable Pastebin
This is a free tool for sharing Python code quickly, designed for Python learners and teachers.
If you’d like to share something that isn’t Python code, try one of these other code sharing tools:
- Hastebin for simplicity
- GitHub Gist for a git repo
- Pastebin for bells, whistles, & ads
- PrivateBin for privacy
- Rentry for sharing markdown
Privacy
Code snippet links are not indexed by search engines, but don’t expect privacy from them (guessing URLs is possible).
Duration
Code snippets expire after 7 days by default. You can signup for a Python Morsels account to make unexpiring code snippets.
Code snippets may be removed before their expiration date. We are not responsible for data loss or removed pastes.
Acceptable Use Policy
This page was created for sharing Python code snippets. Submitting many pastes per day is fine, but uploading an excessive amount of data or using excessive bandwidth is frowned upon.
And remember that this is not a file hosting service.
Please do not post information that should be private or secure. Please do not use this service to cause harm.
Python Pastebin Tips
Include a module-level docstring to give your code snippet a title.
For runnable code, remember to print the output you’d like shown.
An HTTP GET from a command-line tool returns just your code
curl -L https://pym.dev/p/25phe/
Link previews in Slack and on social media will show your code.
Online Python IDE
Build, run, and share Python code online for free with the help of online-integrated python’s development environment (IDE). It is one of the most efficient, dependable, and potent online compilers for the Python programming language. It is not necessary for you to bother about establishing a Python environment in your local. Now You can immediately execute the Python code in the web browser of your choice. Using this Python editor is simple and quick to get up and running with. Simply type in the programme, and then press the RUN button! The code can be saved online by choosing the SHARE option, which also gives you the ability to access your code from any location providing you have internet access.
About Python
Python, which was initially developed by Guido van Rossum and made available to the public in 1991, is currently one of the most widely used general-purpose programming languages. Python’s source code is freely available to the public, and its usage and distribution are unrestricted, including for commercial purposes. It is widely used for web development, and using it, practically anything can be created, including mobile apps, online apps, tools, data analytics, machine learning, and so on. It is intended to be straightforward and uncomplicated, much like the English language. When compared to other programming languages such as C++, Java, and C#, it is a lot simpler to read and write Python programs. Because of its excellent productivity and efficiency, it has become a very popular choice for use as a programming language.
Why Learn Python?
- Python is a simple language to pick up. It has a simple syntax, and the code is quite easy to read.
- Python is useful in a wide variety of contexts. It is put to use in the creation of quick application development, data science, Internet of Things, and web applications, among other things.
- When compared to most other programming languages, it enables you to develop applications using a smaller number of lines of code.
- It has a very huge community behind it, and there are active forums for users to participate in.
- The presence of Third Party Modules contributes to the increased power of the Python programming language.
- The user is able to easily solve difficult problems with the help of extensive support libraries (for example, NumPy, which is used for numerical computations and Pandas, which is used for data analytics).
- It includes extremely user-friendly data structures, which simplify both the design of the code and the reasoning behind it.
- The number of people using Python is constantly on the rise. It has quickly become one of the most widely used programming languages.
Features of Online Python Compiler (Interpreter)
- Design that is Uncomplicated and Sparse, along with Being Lightweight, Easy, and Quick to Use
- Version 3.8 of Python is supported for interactive program execution, which requires the user to provide inputs to the program in real time.
- Options for a dark and light theme, as well as a customised code editor with additional themes, are helpful for novices learning and practising Python.
- Options to Undo or Redo Changes Made in the Code Editor Options to Copy or Download the Results of the Program Expandable Output Terminal Options to Undo or Redo Changes
- A hint for the frequently occurring problems in Python
- Interactive Python Shell Advanced Python module support relevant to Data Science, including Pandas and NumPy Coding sharing functionality allows you to save your code in the cloud, where it can be retrieved whenever and wherever there is internet connectivity.
Learn Other Programming Language?
Visit online-ide.com to learn and practice top programming languages — C, C++, Java, Ruby, PHP, R, GoLang