In my last post I have mentioned one AWS workshop related to Python i.e. Learn Python on AWS Workshop.
Thought to create a series of post showcasing all the hands on labs and a python tutorial for beginners.
Step 1 - Login to your AWS Console and make sure you have Cloud9 IDE
Follow the steps mentioned in the cloud9 section as is while you setup the environment
Once you open the Cloud9 IDE first thing first check the Python Version by typing python in the IDE, you will see this
ec2-user:~/environment $ python Python 3.8.16 (default, May 21 2024, 18:54:47) [GCC 7.3.1 20180712 (Red Hat 7.3.1-17)] on linux Type "help", "copyright", "credits" or "license" for more information. >>>
Pro Tip: If you select other that Amazon Linux 2 in Platform dropdown and create your environment then you might not get python environment.
*Interactive Mode
*
This is the interactive python environment. You can enter python commands directly into this and they will run as python. This is a great tool for quickly testing python commands.
Try that now using an example. Type or copy the following into the python interactive environment after the >>>
some_string = "Hello Python" print(some_string)
This should return the following:
some_string = "Hello Python" print(some_string) Hello Python
Congratulations!
You have just created your first python variable called some_string and given it a value "Hello Python".
You then printed the value of the variable using the built in print function.
Exit Interactive Mode
To exit the python environment use crtl + d or by typing exit().
Rest we will learn on Day 2 and in next post.
The above is the detailed content of Learn Python with AWS - Day 1. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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