Tools, Software, and Courses We Recommend

Top Picks for Developers and Tech Enthusiasts:

• Programming Tools – Visual Studio Code, PyCharm, Git, Postman, Docker
• Data Science Libraries – pandas, NumPy, scikit-learn, TensorFlow, PyTorch
• Cloud & Deployment – AWS Free Tier, Google Cloud, Heroku
• Version Control – GitHub, GitLab, Bitbucket
• Books –
  • “Automate the Boring Stuff with Python” by Al Sweigart
  • “Python Crash Course” by Eric Matthes
  • “Hands-On Machine Learning with Scikit-Learn and TensorFlow” by Aurélien Géron
  • “The Pragmatic Programmer” by Andrew Hunt & David Thomas
• Online Courses – Udemy, Coursera, Pluralsight, edX, Codecademy
• Downloadable Resources:
  • [Python Cheat Sheet PDF]
  • [Machine Learning Roadmap PDF]
  • [Data Science Project Template]

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