Table of contents
Easy to Learn
Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
Versatile
Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
Large Standard Library
Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
Strong Community Support
Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
Cross-Platform Compatibility
Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
Good for Rapid Development
The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.
Promote Python. You can add any of these badges on your website.
We have collected here some useful links to help you find out if Python is good.
Check the traffic stats of Python on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Python on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Python's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Python on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Python on Reddit. This can help you find out how popualr the product is and what people think about it.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Import threading Import requests Import time Def fetch_url(url): response = requests.get(url) return len(response.content) Urls = [ "https://python.org", "https://github.com", "https://stackoverflow.com", "https://pypi.org", "https://docs.python.org", ] # Single-threaded Start = time.time() For url in urls: fetch_url(url) Single_time = time.time() - start Print(f"Single-threaded:... - Source: dev.to / 9 months ago
Import asyncio Import aiohttp Async def fetch_url(session, url): async with session.get(url) as response: return await response.text() Async def main(): urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] async with aiohttp.ClientSession() as session: tasks = [fetch_url(session, url) for url in urls] pages = await... - Source: dev.to / 9 months ago
Next, ensure you have Python 3 installed locally on your PC. Once that's done, proceed to install the following libraries:. - Source: dev.to / 9 months ago
It is the year 2025, everybody and their grandma have asked ChatGPT about the meaning of life. While we cannot be sure whether it generated a hallucinated answer, we do know that LLMs are developed using Python. Data scientists today are expected to work with AI/ML models and therefore Python (see below), effectively settling the age-old "Python vs. R" debate. - Source: dev.to / 9 months ago
If you need to install Python, download it from the official Python website or consider using Anaconda or Miniconda, which include essential tools for data science and AI development. - Source: dev.to / 12 months ago
Go to the official Python website: https://python.org. - Source: dev.to / about 1 year ago
If Python is not installed, download it from python.org or use your system's package manager (e.g., sudo apt install python3 on Ubuntu). - Source: dev.to / over 1 year ago
Python Installed: Download and install the latest Python version from python.org, including pip during setup. - Source: dev.to / over 1 year ago
First, you'll need to install Python if you don't have it already. Go to the official Python website python.org, download the latest version, and follow the instructions. - Source: dev.to / over 1 year ago
Python: Weโll use Python for itโs simplicity and accessibility. - Source: dev.to / over 1 year ago
Bootstrapping was an often neglected problem. Should we tell people to install Python from https://python.org? The Anaconda distribution? How do we stop folks from using their system package manager and risk breaking everything? - Source: dev.to / almost 2 years ago
Automate the Boring Stuff with Python: https://automatetheboringstuff.com Learn Python 3 Course https://www.codecademy.com/courses/learn-python-3 Official Python Documentation: https://python.org. - Source: dev.to / about 2 years ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / about 2 years ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 years ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter โfโ or โFโ. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / over 2 years ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / over 2 years ago
Python remains a highly influential and widely regarded programming language, upheld for its versatility, simplicity, and expansive ecosystem. Its reputation has been steadily bolstered by its application across various fields, including web development, machine learning, data analysis, and even in creative domains such as trading and automation.
One of Python's most touted attributes is its accessibility. The language's syntax is clean and readable, making it an excellent choice for beginners, yet it is robust enough for experienced developers working on complex projects. The inherent simplicity of Python accelerates learning and reduces maintenance costs, as highlighted by its use in the educational sector and within major technology companies like Google, Amazon, and Facebook.
Pythonโs dominance in the realms of data science and machine learning is particularly noteworthy. Tools like Pandas, Scikit-learn, and TensorFlow, continue to fuel Pythonโs popularity among data scientists and machine learning engineers. This pervasive usage has established Python as a foundational language in educational curricula for data-related fields.
In web development, Python frameworks such as Django and Flask are instrumental in offering developers streamlined and efficient ways to build robust applications. Their growing adoption signifies Pythonโs competitive advantage in constructing secure, scalable, and maintainable web applications.
Python's extensive libraries and community support are significant contributors to its popularity. The Python Package Index (PyPI) hosts thousands of packages that extend the language's capabilities considerably. This rich set of resources empowers developers to tackle a wide array of challenges across diverse industries with relative ease.
Despite its extensive merits, Python does face competition from languages like JavaScript in web development, Java and C++ in system-level programming, and more niche languages like R in statistical analysis. However, Pythonโs dynamic nature and constantly evolving ecosystem, including innovative implementations like PyPy for performance optimization, keep it at the forefront of general-purpose programming languages.
While Python excels in its versatility, it is not without its limitations. Performance can be a bottleneck due to its interpreted nature and Global Interpreter Lock (GIL), which is a factor when running CPU-bound multi-threaded programs. However, Python has turned these limitations into learning curves, continuously improving through advancements in asyncio and support for asynchronous programming.
Public opinion surrounding Python remains overwhelmingly positive due to its extensive application scope and supportive community. Its adaptability in various domains continues to attract new learners and seasoned developers alike. Although it faces competition, Python's ample resources and forward momentum indicate it will remain a staple language in the programming landscape for years to come.
The official Python website provides a central hub for installing the language, accessing documentation, and staying current with updates and community news. Overall, Python's simplicity coupled with its powerful capabilities maintains its status as a cornerstone of modern programming.
Do you know an article comparing Python to other products?
Suggest a link to a post with product alternatives.
Is Python good? This is an informative page that will help you find out. Moreover, you can review and discuss Python here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
Great Experience in Programming