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awesome-software-engineering
A curated list of awesome software engineering resources.
https://github.com/Alliedium/awesome-software-engineering
Last synced: 6 days ago
JSON representation
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Fundamentals
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OOP
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Common mistakes
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Common principles
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Refactoring
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Design Patterns
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Clean Code
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Code Review
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Code Style
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Data Structures and Algos
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Science
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Clean Architecture
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Programming Languages
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Java
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Julia
- Type-Dispatch Design: Post Object-Oriented Programming for Julia
- Julia: how multiple dispatch works
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- Goodbye OOP
- Julia: a post-mortem
- Julia: a post-mortem: discussion on Julia's discourse
- Julia: a post-mortem: discussion on ycombinator
- Julia from the perspective of a pythonista
- What's bad about Julia by Jeff Bezenson
- Julia motivation: why weren’t Numpy, Scipy, Numba, good enough?
- JuliaCon 2019 | The Unreasonable Effectiveness of Multiple Dispatch | Stefan Karpinski
- Julia Academy
- Getting started with Julia
- 9 Cool Julia tricks
- Julia blogs aggregator
- Julia 1.6 highlights
- Julia is production-ready
- JuliaCon 2020 | State of Julia | Jeff Bezanson & Stefan Karpinski
- Interview with Julia Language Co-founders
- Julia performance tips
- Julia performance: benchmarking via BenchmarkTools.jl
- How to benchmark like a pro in Julia | Tom Kwong
- JuliaCon 2020 | Adventures in Avoiding Allocations | Brian Jackson
- How hard would it be to implement Numpy.jl, i.e. Numpy in Julia? Point 1
- How hard would it be to implement Numpy.jl, i.e. Numpy in Julia? Point 2
- How to submit a PR on GitHub
- Working with and emulating references in Julia
- Is Julia Dynamically Typed?
- Julia type system
- Libraries & parameterized types | MIT Computational Thinking Spring 2021 | Lecture 18
- juliaobserver.com
- juliapackages.com
- DataFrames minilanguage explained
- Release announcements for DataFrames.jl
- DataFrames.jl: comparison with Pandas
- DataFrames.jl cheatsheet
- JuliaCon 2020 | Doing Scientific Machine Learning (SciML) With Julia
- MIT Course 18.337 - Parallel Computing and Scientific Machine Learning YouTube Channel
- JuliaCon 2020 | Dependency-Aware Jupyter Notebooks | Arnav Sood
- JuliaCon 2020 | Interactive notebooks ~ Pluto.jl | Fons van der Plas
- Pluto.jl Notebooks and PlutoUI Tutorial (Julia Programming)
- How to disable authentication
- How to increase notebook width
- Table of contents
- JuliaCon 2020 | Building Microservices and Applications in Julia
- Custom sysimages: official documentation
- Running AWS Lambda functions with Julia | Tom Kwong
- JuliaCon 2020 | Lessons learned on trait-based descriptions of graphs | Mathieu Besancon
- JuliaPy
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- 9 Cool Julia tricks
- 9 Cool Julia tricks
- DataFrames.jl performance benchmark
- Welcome to DataFrames.jl with Bogumił Kamiński
- MIT Course 18.337 - Parallel Computing and Scientific Machine Learning GitHub Repo
- Dark mode
- SimpleContainerGenerator
- WhereTraits.jl
- BinaryTraits.jl
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- VSCode Plugin
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
- 9 Cool Julia tricks
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JavaScript
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Python
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Rust
- Considering Rust by Jon Gjengset
- Rust Crash Course by Traversy Media
- Rust Linz, August 2020 - Ryan Levick - Why should I care about Rust?
- Introduction to Rust Part 1 by Ryan Levick
- Introduction to Rust Part 2 by Ryan Levick
- Understanding Rust Lifetimes by Ryan Levick
- Crust of Rust by Jon Gjengset
- R-Evolution: A Story of Rust Adoption at Microsoft - Ryan Levick
- AWS re:Invent 2020: Next-gen networking infrastructure with Rust and Tokio
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Kubernetes Tools
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minikube
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kubectl
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Lens
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Kubernetes Objects
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Ingress
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Applying manifests
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Kubernetes Operators
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Stateful workloads in Kubernetes
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Lens
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Longhorn
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Running a database in k8s as an example
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-
Kubernetes manifest parameterization
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Kubernetes monitoring
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Prometheus
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Grafana
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-
OSI/TCP/IP
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Grafana
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BGP
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Grafana
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HTTPS
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TLS certificates
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ACME
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TCP
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VXLAN
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REST API
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GraphQL
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GitHub
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GitHub Actions
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GitLab
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Jenkins
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Local Distributions
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k3s/k3d
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minikube
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-
Docker
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GPU pass-through
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Basics
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Architecture (containerd, CRI-O and runc)
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Distributions (Docker, nerdctl + Rancher Desktop)
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How to configure on different platforms
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Sample application
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Best practices for building containers
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Advanced
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Infrastructure as Code
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Crossplane
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UML & noUML
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Docker compose
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Software Development Methodologies
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Debugging
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Testing
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IntelliJ Idea
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TTD in JavaScript
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-
Linux
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TTD in JavaScript
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Linux Distributions
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Command line
-
User Access Permissions
-
Fish
-
Package Managers
-
Tips & Tricks
-
Linux Utilities
-
Arch Linux, Manjaro
-
LVM
-
SSH
-
Linux Filesystems
-
Desktop Environments
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Image Editing
-
Video Editing
-
Text Editing
-
LibreOffice
-
-
Windows
-
LibreOffice
-
-
FreeBSD
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LibreOffice
-
-
MacOs
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LibreOffice
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-
Source Control
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Security
-
KeePassXC
-
iptables
-
-
Databases
-
Ansible
-
Proxmox
-
LXC
-
Open vSwitch
-
-
ArgoCd
-
Devspace
Programming Languages
Categories
Fundamentals
304
Programming Languages
217
Docker
76
Infrastructure as Code
61
Linux
50
Kubernetes Tools
48
Ansible
11
Proxmox
10
Kubernetes Objects
10
Devspace
7
Docker compose
7
Databases
7
Kubernetes manifest parameterization
7
Testing
7
Jenkins
7
VXLAN
6
Kubernetes monitoring
5
Stateful workloads in Kubernetes
5
Debugging
4
UML & noUML
4
LXC
4
Security
4
HTTPS
4
Local Distributions
4
Ingress
3
TCP
3
Software Development Methodologies
3
Source Control
3
REST API
3
Kubernetes Operators
3
Windows
2
GitHub Actions
2
GitLab
2
BGP
2
GraphQL
2
ArgoCd
2
GitHub
2
Applying manifests
2
OSI/TCP/IP
2
MacOs
1
IntelliJ Idea
1
FreeBSD
1
Sub Categories
Common principles
138
Julia
117
Java
93
Crossplane
68
Common mistakes
66
OOP
46
minikube
45
GPU pass-through
44
Refactoring
38
ACME
32
Lens
22
Science
18
Best practices for building containers
15
JavaScript
12
Advanced
11
Rust
9
Design Patterns
8
Open vSwitch
8
Command line
7
Linux Utilities
7
Helm
6
Apache Ignite
6
Grafana
6
TTD in JavaScript
6
LibreOffice
5
Linux Distributions
5
Linux Filesystems
4
Arch Linux, Manjaro
4
Sample application
4
Architecture (containerd, CRI-O and runc)
3
Basics
3
Prometheus
3
k3s/k3d
3
Git
3
iptables
3
Video Editing
3
Desktop Environments
2
Code Review
2
SSH
2
User Access Permissions
2
Clean Code
2
Running a database in k8s as an example
2
Fish
2
Tips & Tricks
2
kubectl
2
Python
2
Distributions (Docker, nerdctl + Rancher Desktop)
2
Package Managers
2
Kustomize
1
KeePassXC
1
Clean Architecture
1
SQL
1
Code Style
1
TLS certificates
1
Text Editing
1
LVM
1
Data Structures and Algos
1
How to configure on different platforms
1
Xen
1
Image Editing
1
Longhorn
1
Keywords
awesome
5
awesome-list
4
containers
4
julia-language
3
docker
3
kubernetes
3
javascript
2
python
2
cloud-computing
2
design-patterns
2
static-analysis
2
static-code-analysis
2
julia
2
julialang
2
traits
2
aws
2
infrastructure
1
gof-patterns
1
lists
1
microservices
1
resources
1
code-quality
1
command-line-tool
1
java
1
control-plane
1
cncf
1
checkstyle
1
error-prone
1
findbugs
1
jenkins
1
jenkins-plugin
1
jenkins-warnings
1
localstack
1
cli
1
serverless
1
react
1
react-apps
1
react-native
1
react-tutorial
1
samples
1
tutorial
1
typescript
1
collections
1
multicloud
1
python-framework
1
python-library
1
python-resources
1
architecture
1
infrastructure-as-code
1
static-compilation
1