Merge pull request #8 from wizley9999/fix-typos
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docs: fix typos and improve clarity in resources and roadmap
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chessMan
2025-07-19 21:31:53 +05:30
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6 changed files with 15 additions and 15 deletions

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- [Stanford Online](https://online.stanford.edu) - Stanford University's online courses - [Stanford Online](https://online.stanford.edu) - Stanford University's online courses
- [Cybrary](https://www.cybrary.it) - Cybersecurity-focused training - [Cybrary](https://www.cybrary.it) - Cybersecurity-focused training
- [SANS](https://www.sans.org) - Professional cybersecurity training - [SANS](https://www.sans.org) - Professional cybersecurity training
- [W3Schools](https://www.w3schools.co) - Web development tutorials - [W3Schools](https://www.w3schools.com) - Web development tutorials
### Practice Platforms ### Practice Platforms
- [TryHackMe](https://tryhackme.com) - Guided cybersecurity challenges - [TryHackMe](https://tryhackme.com) - Guided cybersecurity challenges

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This comprehensive cheatsheet covers a wide range of Linux networking tools, providing a one-stop reference for Linux users. This comprehensive cheatsheet covers a wide range of Linux networking tools, providing a one-stop reference for Linux users.
## `ping` ## `ping`
The `ping` command is used to check if a remote computer is connected and making HTTP requests. It sends ICMP echo request packets to the target host and waits for a response. The `ping` command is used to check if a remote computer is reachable on a network. It sends ICMP echo request packets to the target host and waits for a response.
**Usage Examples:** **Usage Examples:**
- `ping <hostname>`: Sends ICMP echo requests to the specified hostname. - `ping <hostname>`: Sends ICMP echo requests to the specified hostname.
@@ -423,17 +423,17 @@ The `python -m SimpleHTTPServer` command can be used to quickly serve files from
* `python -m SimpleHTTPServer --help`: Displays the available options for the SimpleHTTPServer module. * `python -m SimpleHTTPServer --help`: Displays the available options for the SimpleHTTPServer module.
## ipealc ## ipcalc
`ipealc` is a command-line tool used to calculate IP addresses and subnet information. `ipcalc` is a command-line tool used to calculate IP addresses and subnet information.
**Usage Examples:** **Usage Examples:**
* `ipealc <ip_address> <subnet_mask>`: Calculates the network address, broadcast address, and available host range for the specified IP address and subnet mask. * `ipcalc <ip_address> <subnet_mask>`: Calculates the network address, broadcast address, and available host range for the specified IP address and subnet mask.
* `ipealc -c <cidr_notation>`: Calculates the subnet mask and other information based on the CIDR notation. * `ipcalc -c <cidr_notation>`: Calculates the subnet mask and other information based on the CIDR notation.
* `ipealc -n <network_address> <prefix_length>`: Calculates the network information based on the network address and prefix length. * `ipcalc -n <network_address> <prefix_length>`: Calculates the network information based on the network address and prefix length.
* `ipealc -h`: Displays the help menu for the ipealc tool, including all available options and usage examples. * `ipcalc -h`: Displays the help menu for the ipcalc tool, including all available options and usage examples.
* `ipealc -v`: Displays the version information for the ipealc tool. * `ipcalc -v`: Displays the version information for the ipcalc tool.
## nsenter ## nsenter

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cpu-x # CPU identification tool cpu-x # CPU identification tool
# CPU Performance Monitoring # CPU Performance Monitoring
numact1 # NUMA topology and statistics numactl # NUMA topology and statistics
lstopo # Hardware topology viewer lstopo # Hardware topology viewer
dmidecode # DMI table decoder dmidecode # DMI table decoder
``` ```
@@ -64,7 +64,7 @@ dmidecode # Memory hardware information
# Memory Performance Tools # Memory Performance Tools
lstopo # Memory topology visualization lstopo # Memory topology visualization
numact1 # NUMA memory statistics numactl # NUMA memory statistics
``` ```
### Operating System Level Tools ### Operating System Level Tools
@@ -250,7 +250,7 @@ schedtool -a 0-3 1234
schedtool -h schedtool -h
``` ```
#### numact1 #### numactl
```bash ```bash
# Show NUMA topology # Show NUMA topology
numactl --hardware numactl --hardware

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## Essential System Binaries (`/sbin`) ## Essential System Binaries (`/sbin`)
The `/sbin` directory contains essential system binaries, which are executable files for system administration commands, such as `fdisk` (partition management), `fsck` (file system check and repair), `getty` (login process), `halt` (system shutdown), `ifconfig` (network interface configuration), `init` (system initialization), `mkfs` (file system creation), `mkswaP` (swap space creation), `reboot` (system reboot), and `route` (network routing configuration). The `/sbin` directory contains essential system binaries, which are executable files for system administration commands, such as `fdisk` (partition management), `fsck` (file system check and repair), `getty` (login process), `halt` (system shutdown), `ifconfig` (network interface configuration), `init` (system initialization), `mkfs` (file system creation), `mkswap` (swap space creation), `reboot` (system reboot), and `route` (network routing configuration).
## Read-Only User Application Support Data & Binaries (`/usr`) ## Read-Only User Application Support Data & Binaries (`/usr`)

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- [NNPACK](https://github.com/Maratyszcza/NNPACK) - [NNPACK](https://github.com/Maratyszcza/NNPACK)
#### Research Papers #### Research Papers
- "Random Search for Hyper-Parameter Optimization" - [arXiv:1803.09820](https://arxiv.org/abs/1803.09820) - "Random Search for Hyper-Parameter Optimization" - [Random Search for Hyper-Parameter Optimization](https://jmlr.org/papers/v13/bergstra12a.html)
- "A Disciplined Approach to Neural Network Hyper-Parameters" - [arXiv:1803.09820](https://arxiv.org/abs/1803.09820) - "A Disciplined Approach to Neural Network Hyper-Parameters" - [arXiv:1803.09820](https://arxiv.org/abs/1803.09820)
- "An Analysis of Deep Neural Network Models for Practical Applications" - [arXiv:1605.07678](https://arxiv.org/abs/1605.07678) - "An Analysis of Deep Neural Network Models for Practical Applications" - [arXiv:1605.07678](https://arxiv.org/abs/1605.07678)

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# Table of Content # Table of Contents
1. [Language-Agnostic DSA Roadmap](#language-agnostic-dsa-roadmap) 1. [Language-Agnostic DSA Roadmap](#language-agnostic-dsa-roadmap)
2. [Language-Agnostic DSA Resources](#language-agnostic-dsa-resources) 2. [Language-Agnostic DSA Resources](#language-agnostic-dsa-resources)