GitforGits grāmatas
Rust In Practice: A Programmers Guide to Build Rust Programs, Test Applications and Create Cargo Packages
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Linux Essentials for Hackers & Pentesters: Kali Linux Basics for Wireless Hacking, Penetration Testing, VPNs, Proxy Servers and Networking Commands
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Practical Rust 1.x Cookbook: 100+ Solutions across Command Line, CI/CD, Kubernetes, Networking, Code Performance and Microservices
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Statistics with Rust: 50+ Statistical Techniques Put into Action
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PostgreSQL 15 Cookbook: 100+ expert solutions across scalability, performance optimization, essential commands, cloud provisioning, backup, and recovery
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Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
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Mastering Postman: A Comprehensive Guide to Building End-to-End APIs with Testing, Integration and Automation
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Hands-On Multi-Cloud Kubernetes: Multi-cluster kubernetes deployment and scaling with FluxCD, Virtual Kubelet, Submariner and KubeFed
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Mastering Go Network Automation: Automating Networks, Container Orchestration, Kubernetes with Puppet, Vegeta and Apache JMeter
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Mastering C++ Network Automation: Run Automation across Configuration Management, Container Orchestration, Kubernetes, and Cloud Networking
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PowerShell SysAdmin Crash Course: Unlock the Full Potential of PowerShell with Advanced Techniques, Automation, Configuration Management and Integration
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Rust for Network Programming and Automation: Learn to Design and Automate Networks, Performance Optimization, and Packet Analysis with low-level Rust
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Day Trading with ChatGPT: Test the Power of AI for Stock Market Predictions
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SQL 101 Crash Course: Comprehensive Guide to SQL Fundamentals and Practical Applications
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Python Networking 101: Navigating essentials of networking, socket programming, AsyncIO, network testing, simulations and Ansible
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C++ Networking 101: Unlocking Sockets, Protocols, VPNs, and Asynchronous I/O with 75+ sample programs
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Google JAX Essentials: A quick practical learning of blazing-fast library for machine learning and deep learning projects
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Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch
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Terraform for Developers: Essentials of Infrastructure Automation and Provisioning
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Practical C++ Backend Programming: Crafting Databases, APIs, and Web Servers for High-Performance Backend
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TensorFlow Developer Certification Guide: Crack Googles official exam on getting skilled with managing production-grade ML models
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WebAssembly Essentials: Make code reusable and deployed for high performance web apps
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Parallel Python with Dask: Perform distributed computing, concurrent programming and manage large dataset
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PyTorch Cookbook: 100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks
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Learning Ansible: Embrace productivity and challenge IT complexity with the best automation engine
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Web Programming with Go: Building and Scaling Interactive Web Applications with Gos Robust Ecosystem
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PowerShell Troubleshooting Guide: Techniques, strategies and solutions across scripting, automation, remoting, and system administration
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Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice
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Implementing Linkerd Service Mesh: Add Observability, Load Balancing, Micro Proxies, Traffic Split and Multi-Cluster Communication to Kubernetes
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