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Post a LessonAnswered on 06 Sep Learn Python
Kalaiselvi
Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)
Answered on 08 Sep Learn Python
Gerryson Mehta
Data Analyst with 10 years of experience in Fintech, Product ,and IT Services
The main benefit of Python is its simplicity and readability. Python’s clear syntax and easy-to-understand code structure make it accessible for beginners and efficient for experienced programmers. This simplicity speeds up development and debugging, while its extensive libraries and frameworks support a wide range of applications from web development to data science.
Here is my number Call 073-1485-0321.
read lessAnswered on 08 Sep Learn Python
Gerryson Mehta
Data Analyst with 10 years of experience in Fintech, Product ,and IT Services
Some interesting Python books include:
1. **"Python Crash Course" by Eric Matthes** - A hands-on introduction to Python that covers basics and builds practical projects.
2. **"Automate the Boring Stuff with Python" by Al Sweigart** - Focuses on automating repetitive tasks with Python scripts.
3. **"Fluent Python" by Luciano Ramalho** - Explores advanced Python features and idioms for writing efficient, readable code.
4. **"Effective Python" by Brett Slatkin** - Offers tips and best practices for writing high-quality Python code.
5. **"Python Data Science Handbook" by Jake VanderPlas** - Provides comprehensive coverage of data science tools and techniques in Python.
These books cater to different levels of expertise and interests, from beginners to advanced users.
Here is my number Call 073-1485-0321.
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Answered on 08 Sep Learn Python
Gerryson Mehta
Data Analyst with 10 years of experience in Fintech, Product ,and IT Services
### Pros of Python:
1. **Easy to Learn**: Python has a simple syntax that is easy for beginners to understand.
2. **Versatile**: Suitable for web development, data analysis, machine learning, automation, and more.
3. **Large Community**: A large community provides a wealth of libraries, frameworks, and support.
4. **Readable Code**: Code is clean and readable, making it easier to maintain and collaborate on.
5. **Cross-Platform**: Works on multiple operating systems like Windows, macOS, and Linux.
### Cons of Python:
1. **Performance**: Slower execution speed compared to compiled languages like C++ or Java.
2. **Memory Consumption**: Can be high, which might not be ideal for memory-constrained systems.
3. **Global Interpreter Lock (GIL)**: Limits multi-threading performance in Python’s standard implementation.
4. **Limited Mobile Development**: Less common for mobile app development compared to Java or Swift.
These factors make Python a strong choice for many applications, though it may not always be the best option depending on specific needs.
Here is my number Call 073-1485-0321.
read lessAnswered 3 days ago Learn Manual Testing
Rakhi Yadav
Your path to Hindi proficiency starts here
Hey there! Smoke testing is a type of software testing that aims to ensure the basic functionalities of an application work correctly before proceeding with more in-depth testing. It is usually done early in the development cycle or after significant changes to the software to catch any major issues quickly.
Characteristics of smoke testing include:
1. **Basic Functionality Testing**: It focuses on testing the core features of the software.
2. **Quick and Light**: Smoke tests are designed to be quick and not overly detailed to provide a rapid indication of the software's stability.
3. **Automated**: Often, smoke tests are automated to save time and effort.
4. **Non-Exhaustive**: It doesn't cover all possible scenarios but rather checks the critical functionalities.
5. **Decision-making Tool**: The results of smoke testing help in deciding whether the software build is stable enough for further testing.
So, in a nutshell, smoke testing is like a quick health check for software to ensure it's ready for more thorough testing.
read lessAnswered 3 days ago Learn Manual Testing
Rakhi Yadav
Your path to Hindi proficiency starts here
During white box testing, several issues can occur in the system that testers need to be aware of. Some common problems include incomplete code coverage, overlooking boundary conditions, assumptions and dependencies leading to incorrect test results, inadequate error handling testing, potential performance issues like memory leaks, and integration problems when testing individual components. Being mindful of these issues helps testers create more robust test cases and ensures a thorough testing process. If you have any more questions or need further details, feel free to ask!
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Answered on 02 Sep Learn Manual Testing
Rajesh Kumar N
"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"
Answered on 02 Sep Learn Manual Testing
Rajesh Kumar N
"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"
Answered on 02 Sep Learn Manual Testing
Rajesh Kumar N
"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"
Learn IT Courses from the Best Tutors
Answered on 19 Aug Learn Python
Sana Begum
My teaching experience 12 years
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