Why Should You Learn Python? | Complete python3 tutorials for beginners
Python tutorial for beginners: In this tutorial we will learn why everyone should learn python. If you are a beginner and just starting out with programming then python is probably the best place to start. Also for experienced programmers, it makes sense to learn python programming because code development speed is very good and one can to fast prototyping. Python is used heavily in data science, machine learning, scientific computing due to its rich set of libraries (modules). So come and learn python with me :)
Topics that are covered in this Video:
0:00 Introduction
0:08 It is easy to learn and very intuitive programming language
1:02 You can develop code really fast in python whereas with other languages it takes relatively longer time. This is so because,
* The code syntax is compact
* There is no compilation. Python is interpreted language so you save time on compiling the code.
* It has rich set of libraries so for pretty much anything you can just import a library, write couple of lines using that and you are done
2:45 Rich set of libraries or modules
3:24 Used heavily in the fields of data science, machine learning and scientific computing
3:52 Plenty of job opportunities
#python #pythonbeginners #learnpython #learnprogramming #pythonprogramming #pythondeveloper #programminglanguages2022 #pythonprogrammingforbeginners
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Python Tutorial - 1. Install python on windows
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Python Tutorial - 2. Variables
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Python Tutorial - 3. Numbers
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Python Tutorial - 4. Strings
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Python Tutorial - 5. Lists
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Python Tutorial - 6. Install PyCharm on Windows
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PyCharm Tutorial - 7. Debug python code using PyCharm
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Python Tutorial - 8. If Statement
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Python Tutorial - 9. For loop
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Python Tutorial - 10. Functions
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Python Tutorial - 11. Dictionaries and Tuples
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Python Tutorial - 12. Modules
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Python Tutorial - 13. Reading/Writing Files
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How to install Julia on Windows
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Python Tutorial - 14. Working With JSON
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Julia Tutorial - 1. Variables
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Julia Tutorial - 2. Numbers
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Python Tutorial - 15. if __name__ == "__main__"
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Julia Tutorial - Why Should I Learn Julia Programming Language
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Python Tutorial - 16. Exception Handling
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Julia Tutorial - 3. Complex and Rational Numbers
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Julia Tutorial - 4. Strings
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Python Tutorial - 17. Class and Objects
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Julia Tutorial - 5. Functions
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Julia Tutorial - 6. If Statement and Ternary Operator
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Julia Tutorial - 7. For While Loop
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Python Tutorial - 18. Inheritance
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Julia Tutorial - 8. begin and (;) Compound Expressions
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Python Tutorial - 12.1 - Install Python Module (using pip)
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Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)
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Julia Tutorial - 10. Exception Handling
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Python Tutorial - 19. Multiple Inheritance
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Python Tutorial - 20. Raise Exception And Finally
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Python Tutorial - 21. Iterators
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Python Tutorial - 22. Generators
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Python Tutorial - 23. List Set Dict Comprehensions
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Python Tutorial - 24. Sets and Frozen Sets
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Python Tutorial - 25. Command line argument processing using argparse
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Debugging Tips - What is bug and debugging?
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Debugging Tips - Conditional Breakpoint
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Debugging Tips - Watches and Call Stack
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Python Tutorial - 26. Multithreading - Introduction
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Git Tutorial 3: How To Install Git
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Git Tutorial 1: What is git / What is version control system?
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Git Tutorial 2 : What is Github? | github tutorial
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Git Tutorial 4: Basic Commands: add, commit, push
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Git Tutorial 5: Undoing/Reverting/Resetting code changes
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Git Tutorial 6: Branches (Create, Merge, Delete a branch)
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Git Github Tutorial 10: What is Pull Request?
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Git Tutorial 7: What is HEAD?
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Git Tutorial 9: Diff and Merge using meld
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Difference between Multiprocessing and Multithreading
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Python Tutorial - 27. Multiprocessing Introduction
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Python Tutorial - 28. Sharing Data Between Processes Using Array and Value
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Git Tutorial 8 - .gitignore file
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Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue
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Python Tutorial - 30. Multiprocessing Lock
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Python Tutorial - 31. Multiprocessing Pool (Map Reduce)
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What is code?
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Python unit testing - pytest introduction
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Chapters (6)
Introduction
0:08
It is easy to learn and very intuitive programming language
1:02
You can develop code really fast in python whereas with other languages it takes
2:45
Rich set of libraries or modules
3:24
Used heavily in the fields of data science, machine learning and scientific comp
3:52
Plenty of job opportunities
🎓
Tutor Explanation
DeepCamp AI