Computer Science Fundamentals

Computer science fundamentals

1. Algorithms

2. Data Structures

3. Computer languages (compilers, interpreters, intermediate languages, object-oriented, functional programming)

4. Computer Architectures (how CPU works, RISC vs CISC, CPU cache levels, how does it communicate with memory and peripheral, northbridge, southbridge)

5. Databases (SQL, NoDQL)

Resources:

• CS50

Languages and frameworks

• Python, Django and Flask

• JavaScript, jQuery, React, Angular, VueJS

• NodeJS, ExpressJS

• GoLang

• PHP, Symfony, CakePHP

Networking and protocols

1. TCP/IP (error recovery, congestion control)

2. DNS

3. http/1.0, http/1.1, https, keep alive, http/2.0

4. SMTP, IMAP

Cloud

1. Identity management (IAM, Okta)

2. Compute (EC2)

3. Storage (S3, EBS, Glacier)

4. Serveless (Lambda)

5. Networking in the cloud (VPCs, Load balancers, API gateways)

6. Messaging (Kafka, RabbitMQ, SQS)

7. Data Store ( RDS, DynamoDB)

8. Caching (ElasticCache)

9. DNS - Route53

10. CDN - CloudFront

CloudNative Stack

1. Docker, Docker Compose

2. Orchestration (Kubernetes)

3. Service Discovery (etcd, Hashicorp consul)

4. Secrets (Hashicorp Vault)

5. Observability (Prometheus, Grafana, Elastic)

Security

1. cryptography, encryptions

2. Sandboxing

3. ssh

Big Data

1. Hadoop (Map/Reduce), EMR

2. Kafka

3. Apache Spark

4. Apache Storm

5. Presto

6. Jupyter, Zeppelin

Software Engineering

1. Waterfall, Agile, Scrum

2. Requirements management

3. Quality management - QA automation and code coverage