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Total Commander VS NumPy

Compare Total Commander VS NumPy and see what are their differences

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Total Commander logo Total Commander

A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Total Commander Landing page
    Landing page //
    2021-10-06
  • NumPy Landing page
    Landing page //
    2023-05-13

Total Commander features and specs

  • Dual-pane Interface
    Total Commander features a dual-pane interface, which allows users to easily drag and drop files between directories, enhancing productivity and file management efficiency.
  • Customizability
    The application offers extensive customization options, including customizing the toolbar, keyboard shortcuts, and file display settings, providing users with a tailored experience.
  • Built-in FTP Client
    Total Commander includes an integrated FTP client, making it convenient for users to transfer files to and from remote servers without needing additional software.
  • Plugin Support
    Total Commander supports a wide range of plugins, adding extra functionalities like additional file system interfaces, file viewers, and archivers to extend the software's capabilities.
  • Powerful File Operations
    It offers advanced file operations such as multi-rename tool, file comparison, and synchronization, which are highly useful for power users managing large sets of files.

Possible disadvantages of Total Commander

  • Outdated Interface
    The interface of Total Commander can appear dated compared to modern file managers, which may be less appealing to new users accustomed to more contemporary designs.
  • Learning Curve
    Due to its extensive features and customizability, new users might find Total Commander overwhelming and may require time to learn and utilize the software effectively.
  • Paid Software
    Total Commander is not free; although it offers a trial version, users need to purchase a license to access the full functionality, which may deter some users looking for free alternatives.
  • Limited OS Support
    While primarily designed for Windows, Total Commander has limited support for other operating systems. Though there are Android and Linux versions, they may not offer the same level of functionality as the Windows version.
  • No Cloud Integration
    Total Commander lacks built-in cloud storage integration, which is a feature increasingly expected by users looking to manage files across multiple cloud services directly from their file manager.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Total Commander videos

+ Add

ENG Total Commander Tutorial - Manual: Installation, Multiple Rename ,FTP, Comparing

More videos:

  • Tutorial - Total Commander - Review, Tutorial und Tipps [Part 1]
  • Tutorial - Total Commander - Review, Tutorial und Tipps [Part 2]

NumPy videos

+ Add

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

Category Popularity

0-100% (relative to Total Commander and NumPy)

Total Commander

NumPy

File Manager
100 100%
File Manager
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
FTP Client
100 100%
FTP Client
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Total Commander and NumPy. For example, how are they different and which one is better?
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Reviews

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

Total Commander Reviews

14 Alternative File Managers To Replace Windows 10 File Explorer
An advanced file manager for Windows 10. Total Commander may not have the most beautiful interface, but its advanced features and dual file windows make file management a snap. The main interface consists of two windows where you can open two folders and exchange and manage files between them seamlessly.
Source: geekflare.com
3 Popular Total Commander Analogs for Linux
In Linux there is no special need for such software, because such actions can be performed with standard solutions. But here we should pay attention to the graphical component of Total Commander — it is familiar to many: it is clear and easy to work in it. That is why users are looking for similar software for Linux.
Source: medium.com
The best file managers for your computer
An also very popular alternative, which you probably already knew by its previous name, Windows Commander. Currently, Total Commander it is used by users all over the world, mainly because it also offers support with Linux partitions, among other things. Its interface is very intuitive and has the most common basic functions. One option to consider.
Source: movilforum.com
8 Best Total Commander Alternatives & Competitors in 2022 (Free & Paid)
Total Commander is not always the best solution for everyone. In this article, we’ve compiled a list of the 8 best Total Commander alternatives and competitors.
Source: www.softwarediscover.com
The best third-party file managers for Android
Like the desktop app, Total Commander enables you to drag and drop individual files and entire subdirectories within your device's internal storage. Take it a step further by downloading plug-ins from Total Commander's website to enable features like FTP and SFTP access and uploads to Google Drive, OneDrive, and Dropbox. The app offers customization features akin to that of...
Source: www.androidpolice.com

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.
Source: www.analyticsvidhya.com
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

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.

Total Commander mentions (0)

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

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 / 9 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 / 9 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 / 10 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 / 10 months ago
View more

What are some alternatives?

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

Double Commander - Double Commander is a cross-platform open source file manager with two panels side by side.

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

FreeCommander - FreeCommander is an easy-to-use alternative to the standard windows file manager. The program helps you with daily work in Windows. Here you can find all the necessary functions to manage your data stock.

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

Directory Opus - Directory Opus for Windows - the Ultimate Windows File manager and Explorer Replacement. DownloadOpus 12: To update to the latest version, simply download and . BuyThank you for your interest in Directory Opus!

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

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