Despite the current economic climate, open source jobs remain resilient and are poised to survive the great resignation era, with the tech unemployment rate decreasing by 1.8% in 2023. ⁰
As the days get longer and the weather gets warmer, it's time to go out and search for the perfect lightweight Linux distro.
Now is the perfect time to build the Cloud DevOps skills you need for a rewarding career in tech.
Kubernetes is an open-source system, developed by Google, for managing containerized applications in a clustered environment.
Open source developers are in high demand, so software developers who focus on training for the right certifications and specialty skill sets can take their career in a range of directions.
MLOps is a set of strategies and techniques that allow data science teams to quickly and effectively create, deploy, and maintain ML models in production environments.
Data science has exploded as a practice in recent years, with open-source technologies such as Linux and Kubernetes playing a major role in driving innovation.
Learning MLOps can give you the valuable skills to develop and maintain ML/AI models more efficiently and effectively, making you more attractive to employers looking for data professionals with experience in this discipline.
Math is the foundation of machine learning algorithms, and having a strong understanding of mathematics is essential for success in data science, which heavily relies on machine learning.
Mathematics and Machine Learning are closely intertwined, with both disciplines striving to use data to make better decisions.
One of the most in-demand skills for high-paying Cloud, DevOps, and SRE job roles is Kubernetes Administration.
Building a portfolio is a great learning opportunity and quite effective for showcasing your technical expertise.
The Managed Kubernetes Services from the leading organizations in the cloud computing ecosystem have all made huge strides over the past few years, enabling companies to run containerized workloads with cutting-edge open source capabilities.
There are rewarding career paths available if you have some TensorFlow experience under your belt! We’ve done the hard work and collated a list of resources that provide hands-on and project based learning.
Cloud security is a cornerstone of cloud computing. It is a brilliant career choice that provides economic stability and cognitive growth.
Kubernetes-knowledgeable application developers–CKADs reap plenty of economic benefits.
Linear Algebra is a vital cog in data scientists’ skill set that learners don't bother much about because they find maths intimidating.
If you need to upgrade your skills but feel intimidated by statistics, don't panic. It's much easier to develop the foundational Statistical skills you need.
So you’re thinking about Kubernetes certification. That’s great!
Become AWS Certified and demonstrate your technical proficiency with AWS products and solutions.
It doesn’t take a rocket scientist to learn machine learning for finance. But it can feel like it if you’re just getting started on your own.
Python is the top programming language of choice for data science novices who appreciate its accessibility, ease of use, and general-purpose versatility. It has a simple syntax that mimics natural language and emphasizes readability — It's like a math-infused version of the English language.
Python is one of the most popular programming languages in the world. It is simple, elegant and easy to code with Python, which is why it has gained a colossal popularity in one decade.
UX design is a hot career choice. It is according to Forbes the second-best job for work–life balance and the fifth most requested skill in tech.
To become a skilled UX Designer, you’ll want to focus on fundamentals, user research strategy, visual communication design, responsive design, and so forth.
Machine Learning Engineer is one of the most lucrative and dynamic career paths in Data Science and Ai.
Install Python on Linux/Unix
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A Data Analyst is responsible for analyzing large data sets — both structured and unstructured.
Building technical expertise and advanced skill-set will help you become a prolific data scientist.
It is exceedingly important for aspiring Data Scientists to understand every fundamental of statistics.
Python is the programming language of choice for scientific computing, offering a powerful environment for statistical data analysis.
R programming is great for statistical computing and graphics, with powerful packages optimized for data analysis and data visualization.
Learn Python for Data Science, including Pandas, NumPy, Matplotlib and Bokeh, to manipulate, analyze, and visualize datasets.
The current LibreOffice supports most existing Linux distributions and versions.
Non-programmers love WordPress because it gives their creativity a huge boost.
Learn about data engineering, how it's used, common skills and careers that implement data engineering.
Data Engineering encompasses many roles and tasks.
Create a blazing fast website with OpenLiteSpeed ready Instance for WordPress on Google Cloud
SQL is a highly relevant programming language in data science and has been the requested skill in the tech industry for a long period.
There is great demand for deep learning engineers across the world as it solves complex problems
AWS Certified DevOps Engineers are in high demand by employers worldwide.
The AWS Certified Solutions Architect Professional certification is a well-respected credential in the tech community.
Geo Spatial Analysis is considered as a core infrastructure of the modern tech industry
AWS Certified Developer exam is for practitioners with hands-on experience in developing and maintaining Web Applications.
AWS Certified SysOps Administrator is a cloud practitioner able to create automatable and repeatable deployments of networks and systems in the AWS Cloud.
AWS Certified Solutions Architect is one of the top certifications in the cloud computing industry.
Jupyter notebook is excellent for beginners and even better for experienced programmers as it supports more than 40 programming languages, primarily focused on Python.
A reliable email client comes with security features that will keep your data protected at all times
Pandas is a Python library widely used by Data Scientists and Machine Learning engineers/ researchers.
AWS Certified Cloud Practitioner is an entry-level certification offered by AWS.
R is used for efficient Data Science
Cross-Platform app development tools or hybrid app development is currently one of the key emerging trends in the worldwide mobile apps market.
Serverless is the fastest-growing cloud service model right now and with the rapid development of applications, there is also the rising need to eliminate server management. 💡Substack 👉 kanger.dev Newsletter — we hate spam! Top Serverless and AWS Lambda Courses Here, we have stacked some of the Best Serverless Courses by
Fire up your Terminal to Install Spotify on Debian and Linux Distros with the official package repository from Spotify.
This piece mainly focuses on highlighting the key differences between Custom ERP Software Development and Generic ERP Solution.
Serverless computing is another extension of this new world