How to Learn Python from Scratch

If you want to learn programming today, the easiest and most popular language is Python . It is not only easy to learn but you can do many things through it – like web development, data science, artificial intelligence, automation, machine learning, scripting, and much more. In this blog, we will see step-by-step how to learn Python from zero , what resources to use, what projects to work on and how to go from a beginner to an expert. Why learn Python? There are many benefits of learning Python: This is a simple and readable language, which even a beginner can understand easily. Python is open-source i.e. it is available for free. It has many libraries and frameworks like Django, Flask, Pandas, NumPy, TensorFlow etc. The demand for Python is increasing very rapidly in the job sector. Step 1: Start with the Basics If you are a complete beginner, first install Python on your computer. You can download it from the official website – python.org. After installing, you ...
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How Are Software Development Lifecycles Affected by AI?

1.How Does AI Improve the Quality of Code?

AI finds bugs, suggests improvements, and automates code reviews.


2.Is Project Planning Made Better by AI?

AI-driven analytics provide information that can be used to allocate resources and schedule projects more precisely.

3.Is Testing Processes Being Transformed by AI?

AI accelerates release cycles by automating testing.

4.How Does AI Help with Bug Finding?

AI foresees and finds possible bugs early on.


5.How Does AI Affect CI/CD?

Build, test, and deployment are all automated by AI, which simplifies CI/CD.

6.Can AI Customize User Interfaces?

AI uses user behavior analysis to direct the creation of customized features.

7.How Is Maintenance Optimized by AI?

Artificial Intelligence tracks and forecasts software problems.


8.How Is AI Affecting Teamwork?

AI tools that automate task management improve teamwork.

9.How Does AI Strengthen Security?

Artificial Intelligence finds weaknesses and recommends safe coding techniques.

10.What Are the Difficulties in Integrating AI?

Integration of AI can be difficult, requiring careful technical and ethical thought.



Artificial Intelligence is transforming software development at every level, increasing productivity and effectiveness.

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