Full Stack FastAPI, React, and MongoDB (2022)

Build Python web applications with the FARM stack

By Marko Aleksendrić
#Python #FastAPI #JS #ReactJS #React #MongoDB

A Blueprint for Production-Ready Web Applications (2022)

By Dr. Philip Jones

Leverage industry best practices to create complete web apps with Python, TypeScript, and AWS
#Python #TypeScript

#pic_post #python

Getting Started With Django

If you like the elegance of the Python programming language, Django is the web framework for you! Django is a powerful but pragmatic framework, with an emphasis on getting work done.
In this course, Derek Jensen will teach you all the basics of creating a web app with Django. You'll learn how to create a new app from scratch and how to code Django views, models, URL paths, migrations, templates, and more. Along the way, you'll build a complete web app to support one of Derek’s biggest passions: lawn care.

🆓 Free Online Course
💻 19 Lecture Videos
⏰ Duration: 1.8 hours
🏃‍♂️ Self paced
Teacher 👨‍🏫 : Derek Jensen
Source: tutsplus

🔗 Course Link

#Django #python #web

#python #web #development

7 Step Roadmap for Data Analyst

1. Maths and Statistics
2. Microsoft Excel
3. SQL
4. Python
5. Data Visualization
6. BI Tools
7. Make resume, GitHub profile, LinkedIn profile & prepare for interviews

@javascript_resources

#DataAnalyst #python

The Ultimate DevOps Developer Roadmap

1 - Programming Languages
Pick and master one or two programming languages. Choose from options like Python, JavaScript, Go, Ruby, etc.

2 - Operating Systems
Master the ins and outs of major operating systems like Linux, Windows, Mac, and so on.

3 - Source Control Management
Learn about source control management tools such as Git, GitHub, GitLab, and Bitbucket.

4 - Networking
Master the basics of networking concepts such as DNS, IP, TCP, and SSH.

5 - CI/CD
Pick tools like GitHub Actions, Jenkins, or CircleCI to learn about continuous integration and continuous delivery.

6 - Scripting and Terminals
Learn scripting in bash, and PowerShell along with knowledge of various terminals and editors.

7 - Hosting and Platforms
Master multiple hosting platforms such as AWS, Azure, GCP, Docker, Kubernetes, Digital Ocean, Lambda, Azure Functions, etc.

8 - Infrastructure as Code
Learn infrastructure as code tools like Terraform, Pulumi, Ansible, Chef, Puppet, Kubernetes, etc.
@javascript_resources
9 - Monitoring and Logging
Master the key tools for monitoring and logging for infrastructure and applications such as Prometheus, Elasticsearch, Logstash, Kibana, etc.

10 - Basics of Software Development
Learn the basics of software development such as system availability, data management, design patterns, and team collaboration.

Over to you: What else would you add to this roadmap?

#devops #python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

How to use Python to automate & monitor — Dark Web OSINT



Blog 1: https://publication.osintambition.org/python-for-dark-web-osint-automate-threat-monitoring-5994b63c4d4a

Blog 2: https://codewithc.com/dark-web-monitoring-using-python/
@javascript_resources
#CyberSecurity
#Python #OSINT #DarkWeb #DarkWebOSINT #PythonProgramming

⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .

✔️ To use the online and PDF versions of these books, you can use the following links:👇

0⃣ Python Data Science Handbook
┌ Online
└ PDF

1⃣ Python for Data Analysis book
┌ Online
└ PDF

🔢 Fundamentals of Data Visualization book
┌ Online
└ PDF

🔢 R for Data Science book
┌ Online
└ PDF

🔢 Deep Learning for Coders book
┌ Online
└ PDF

🔢 DS at the Command Line book
┌ Online
└ PDF

🔢 Hands-On Data Visualization Book
┌ Online
└ PDF

🔢 Think Stats book
┌ Online
└ PDF

🔢 Think Bayes book
┌ Online
└ PDF

🔢 Kafka, The Definitive Guide
┌ Online
└ PDF

#DataScience #Python #DataAnalysis #DataVisualization #RProgramming #DeepLearning #CommandLine #HandsOnLearning #Statistics #Bayesian #Kafka #MachineLearning #AI #Programming #FreeBooks

https://t.me/javascript_resources ✅

Free Certification Courses to Learn Data Analytics in 2025:

1. Python
🔗 https://imp.i384100.net/5gmXXo

2. SQL
🔗 https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
🔗 https://edx.org/learn/r-programming/harvard-university-statistics-and-r

4. Data Science: R Basics
🔗https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
🔗 https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
🔗https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
🔗https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
🔗https://imp.i384100.net/rQqomy

9. Tableau
🔗https://imp.i384100.net/MmW9b3

10. PowerBI
🔗 https://lnkd.in/dpmnthEA

11. Data Science: Productivity Tools
🔗 https://lnkd.in/dGhPYg6N

12. Data Science: Probability
🔗https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science

13. Mathematics
🔗http://matlabacademy.mathworks.com

14. Statistics
🔗 https://lnkd.in/df6qksMB

15. Data Visualization
🔗https://imp.i384100.net/k0X6vx

16. Machine Learning
🔗 https://imp.i384100.net/nLbkN9

17. Deep Learning
🔗 https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
🔗https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
🔗https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
🔗 https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
🔗https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
🔗 https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience

https://t.me/javascript_resources ✈️