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NumPy VS PuTTY

Compare NumPy VS PuTTY and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

PuTTY logo PuTTY

Popular free terminal application. Mostly used as an SSH client.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • PuTTY Landing page
    Landing page //
    2023-09-13

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

PuTTY features and specs

  • Free and Open Source
    PuTTY is free to use and its source code is openly available. This allows flexibility for users to modify it according to their needs and ensures that there are no licensing costs associated with its usage.
  • Wide Protocol Support
    PuTTY supports various network protocols including SSH, Telnet, SCP, and SFTP. This makes it versatile for different types of server management and data transfer tasks.
  • Lightweight
    PuTTY is a lightweight application that consumes minimal system resources, making it suitable for use on older or less powerful systems without significant performance degradation.
  • Extensible Configuration Options
    PuTTY offers a wide range of configuration options for terminal emulation, keyboard mappings, and connection settings, giving users fine control over their connections and workflow.
  • Portability
    PuTTY can be run as a portable application from USB drives or other external storage devices without the need for a formal installation process on the host system.

Possible disadvantages of PuTTY

  • No Integrated File Manager
    Unlike some other SSH clients, PuTTY does not come with an integrated file manager, which can make tasks involving file transfers less convenient without the use of PuTTY's separate utilities like PSCP or WinSCP.
  • Limited Scripting Capabilities
    PuTTY itself lacks advanced scripting capabilities which can be a limitation for users who need to automate sessions or workflows extensively. External tools or extensions are necessary for these needs.
  • Basic User Interface
    The user interface of PuTTY is quite basic compared to modern applications. It lacks some of the polished features and aesthetics that other terminal clients might offer.
  • No Tabbed Sessions
    PuTTY does not natively support multiple tabbed sessions within a single window, which can make managing multiple connections less convenient. Users typically need to open multiple instances of the application.
  • Windows-Centric
    While PuTTY is primarily developed for Windows, its cross-platform capabilities through ports like PuTTY for Mac or Linux are not as well-supported, leading to potential inconsistencies and lack of features compared to the Windows version.

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

PuTTY videos

MASSIVE STORE PUTTY REVIEW!

More videos:

  • Review - MOST EXPENSIVE STORE PUTTY + MORE!
  • Review - STORE BOUGHT SLIME & PUTTY REVIEW, MIXING ALL MY SLIME !! SLIME SMOOTHIE | SATISFYING SLIME VIDEO 32

Category Popularity

0-100% (relative to NumPy and PuTTY)
Data Science And Machine Learning
SSH
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Server Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and PuTTY

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

PuTTY Reviews

10 Best PuTTY Alternatives To Try in 2024
Instead of a full-fledged PuTTY alternative, SuperPuTTY is an add-on that changes how PuTTY looks. It also brings several additional features that are missing from the original PuTTY implementation.
10 Best PuTTY Alternatives for SSH Remote Connection
SuperPuTTY requires you to install the original PuTTY for the application to install and run. Besides that, the SuperPuTTY is an advanced PuTTY version with secure SSH connection protection with SCP and SFTP file transfers.
Source: www.tecmint.com
Looking for MobaXterm Alternative? Here are Some Options to Consider
Putty is a popular SSH and telnet client for Windows. It's lightweight, fast, and easy to use. Putty offers all the basic features you need for remote desktop access, including SSH, telnet, rlogin, and raw TCP connections. It also has a built-in serial console for connecting to serial ports. However, Putty doesn't have advanced features like file transfer, X11 forwarding,...
Top 10 Best MobaXterm Alternatives for Windows, macOS & Linux In 2021
PuTTY is, without a reservation, the top SSH customer that we can discover for Windows. Light and really basic, this customer satisfies its function: to enable us to connect to any Windows or Linux server from another location to manage it safely through the Internet. In addition, it has a series of alternatives that permit us to configure, for example, the look or conserve...
The 10 Best Linux Terminal Emulators
The list is by no means exhaustive in any way. There are many Linux terminal emulators with dedicated following and users. Other terminal emulators that could have easily made it into my list include; xfce4-terminal, PuTTY, Tilda, or Yakuake. The default terminal emulator in Linux distros is always good enough for many users. Nailing down a favorite emulator requires you to...

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 119 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

PuTTY mentions (0)

We have not tracked any mentions of PuTTY yet. Tracking of PuTTY recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and PuTTY, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.

OpenCV - OpenCV is the world's biggest computer vision library

ConEmu - ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.