Python is an incredibly versatile and powerful programming language known for its simplicity and readability. As an interpreted, high-level language, Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Its extensive standard library, combined with comprehensive third-party modules, allows for the development of applications ranging from web development, data analysis, artificial intelligence, scientific computing, and more.
Guido van Rossum known as the creator of the Python programming language.
Python is a case-sensitive language
Dive into our tutorials, tips, and guides, and join the millions of developers worldwide who are building the future with Python.
indentation matters
Block of codes are maintained by using same indent. Line of codes within a particular loop or if condition is maintained within the same indent. Nested loops also maintain the similar indenting condition.
Integrated Development Environments (IDEs)
For coding in Python, a wide range of Integrated Development Environments (IDEs) and code editors are available to suit different programming needs, from simple script writing to large-scale development. Here's a list of popular IDEs and editors for Python:
- PyCharm: A comprehensive IDE developed by JetBrains, offering a rich set of tools for Python development, including debugging, testing, and database support. Available in both free Community Edition and paid Professional Edition.
- Visual Studio Code (VS Code): A highly customizable, open-source code editor by Microsoft with a vast extension library, including Python support for debugging, IntelliSense, linting, and more.
- Spyder: An open-source IDE specifically designed for scientific computing and data science, featuring powerful data exploration and visualization tools.
- Jupyter Notebook: A web-based interactive computing notebook environment, ideal for data analysis, machine learning, and scientific research. It allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- Atom: An open-source text editor developed by GitHub, customizable with numerous packages, including linters, debuggers, and syntax highlighting for Python.
Github announced Atom's end-of-life from December 15 2022
- Sublime Text: A lightweight, cross-platform code editor known for its speed, ease of use, and powerful "Goto Anything" feature. Python development can be enhanced by installing various packages through Package Control.
- Thonny: A simple and beginner-friendly IDE with built-in support for Python. It offers easy-to-use debugging features and a clean interface, making it suitable for beginners.
- Idle: Python’s Integrated Development and Learning Environment comes with Python itself. It offers a basic set of features, including a Python shell, a simple editor, debugging, and more, making it suitable for beginners.
- Eclipse with PyDev: Eclipse is a powerful open-source IDE that, when combined with the PyDev plugin, becomes a fully functional Python IDE. It supports Django integration, code completion, and project management.
- Wing IDE: A professional IDE designed for Python, offering powerful debugging, code intelligence, and editing capabilities. It's suitable for professional developers working on complex projects.
Each of these IDEs and editors offers unique features and benefits, catering to different programming styles and project requirements. Whether you're a beginner or a seasoned developer, there's likely an IDE or code editor that fits your Python development needs.
You can use Jupyter notebook for your coding in your system or use Google Colab the cloud based platform for your Python code.
Python Version
import sys
print(sys.version)
Output ( may change based on installation )
3.7.10 (default, Feb 20 2021, 21:17:23)
Using Command Line interface ( type cmd in search or type cmd in Run box )
python --version
Installed libraries
Display a list of installed libraries available with Python. ( Try it in Colab also. )
%pip freeze
In windows use like this at your command prompt.
C:\Users>python -m pip freeze
Unix MacOS
$ python -m pip freeze
Python Basics
Learn Python basics through ONLINE classes »
Python libraries
calendar | Calendar Module |
IP | IP address and host name in Python |
Json | Json methods to manage Json data formatting |
os | operating system interfaces |
tkinter | Python GUI Module module |
Turtle | Draw graphics in Python |
tuple | Ordered unchangeable items list |
Django | Python web framework |
Pickle | Pickle or Un-pickle Python objects |
Pillow | Python Imageing Library : PIL |
Numpy | scientific computing using Numpy |
Pythrends | Un offical google API to get data from Google Trends |
PDF | Create PDF files with shapes and tables. |
xlsxwriter, openpyxl | Managing Excel file |
Database Management using Python
MySQL | Python functions to manage MySQL database |
SQLite | Python functions to manage SQLite database |
Operators
Installing Python
Python data analysis tool | |
By using BeautifulSoup we can parse HTML or XML documents and get the required tags or contents
CBSE Python
High School Python ( part of Syllabus)
CBSE Python syllabus with link to solutions are here.
IPython
IPython (Interactive Python) is an enhanced interactive shell that builds upon the default Python interactive shell. It provides advanced features for interactive computing in Python, including but not limited to:
- A rich toolkit for interactive data visualization and use of GUI toolkits.
- Easy-to-use, high-performance tools for parallel computing.
- Comprehensive introspection, the capability to access the underlying Python objects with ease.
- Improved readability of code outputs with syntax highlighting.
- A browser-based notebook interface via Jupyter Notebooks, which supports code, text, mathematical expressions, inline plots, and other rich media.
- Magic commands (special commands prefixed with % or %% that are designed to solve common problems in standard data analysis).
Difference Between IPython and Python
- Interface and Features: Python's standard shell is simpler and primarily focused on executing Python commands. IPython, on the other hand, offers a rich set of interactive features designed to enhance user productivity in data science and other computational tasks.
- Target Audience: While Python serves programmers across all domains, IPython is particularly beneficial for scientists, researchers, and data analysts due to its powerful interactive features that facilitate exploration and testing.
- Integration with Jupyter: IPython integrates with Jupyter Notebooks, providing an interactive web-based interface that combines executable code, rich text, equations, and visualizations in a single document.
- Extension and Customization: IPython allows for a higher degree of customization and extension, with support for profiles, plugins, and magic commands, making it adaptable to a wide range of workflows.
- Use Cases: Python can be used for scripting, web development, app development, and more. IPython, while capable of similar tasks, shines in interactive computing, exploratory data analysis, and scientific research.
In summary, IPython is not a different language but an enhanced interactive shell and set of tools that provide additional functionalities on top of Python, aimed at making the interactive Python experience more productive and enjoyable, especially for data-intensive and scientific computing tasks.
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