Debugging and Troubleshooting in Python: A Developer’s Essential Guide

https://medium.com/@epythonlab/debugging-and-troubleshooting-in-python-a-developers-essential-guide-b3415f53b1e0

You notice that we have started writing a blog on topics that many developers, especially beginners, find challenging.

Training Neural Network with Tensorflow and Keras
https://youtu.be/MXERXMbp15k

#COVID19 data analysis using #Pandas

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We learn how to analysis data in future data science. You stay at home and learn new futures of Data Science.

Think this is an opportunity to be future Data Scientist.

I share you my knowledge and experience.

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​​How to make box move with the python

🖥 Which are positional arguments?

➕Check out solution here:https://www.youtube.com/watch?v=K-u3vndXulg

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Why NumPy is faster than array list?

✅Size:- Numpy data structures take up less space

✅Performance:- they have a need for speed and are faster than lists

✅Functionality: - SciPy and NumPy have optimized functions such as linear algebra operations built in.

✅Memory:- The main benefits of using NumPy arrays should be smaller memory consumption and better runtime behavior. 

✅TIP

Indentation is important for python programming you never miss it.

Indentation refers to the spaces at the beginning of a code line.

Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important.

Python uses indentation to indicate a block of code.
Example:
for x in range (2, 5):
print x

N.B: Python will give you an error if you skip the indentation:

EXAMPLE:
for x in 5:
print x

Python is a general-purpose programming language. It can do almost all of what other languages can do with comparable, or faster, speed. It is often chosen by Data Analysts and Data Scientists for prototyping, visualization, and execution of data analyses on datasets.

There’s an important question here. Plenty of other programming languages, like R, can be useful in the field of data science. Why are so many people choosing Python?

One major factor is Python’s versatility. There are over 125,000 third-party Python libraries. These libraries make Python more useful for specific purposes, from the traditional (e.g. web development, text processing) to the cutting edge (e.g. AI and machine learning). For example, a biologist might use the Biopython library to aid their work in genetic sequencing.

Additionally, Python has become a go-to language for data analysis. With data-focused libraries like pandas, NumPy, and Matplotlib, anyone familiar with Python’s syntax and rules can use it as a powerful tool to process, manipulate, and visualize data.

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Full-stack web app development full tutorial with python and flask framework
https://www.youtube.com/watch?v=tbvZcyTwocA

Sales Forecasting

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Resources

Master MongoDB with VS Code: Step-by-Step Guide to Creating Databases, Collections, and Documents
https://youtu.be/KiQKCafwMXU

MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code : https://www.youtube.com/watch?v=nm-7rM5mnYE

Next we will share you how to create collections and read data. Stay tuned!!

Featured Projects in our Github

Check them out : https://github.com/epythonlab

New to Linux? Learn the basic Linux commands for beginners in this easy-to-follow video tutorial. Master essential commands and start navigating your Linux system like a pro! https://youtu.be/yr65ibmN6-M

Don't forget to like, share, and subscribe for more data science and machine learning tutorials! If you have any questions or suggestions for future videos, please leave them in the comments below.

Creating and parsing XML documents in Python is a valuable skill for managing and exchanging structured data. In this tutorial, I'll cover the basics of creating XML documents and parsing them using Python's built-in XML module.

https://www.youtube.com/watch?v=WnbS90EzU0Y

Learn Python from beginners to advanced with practical exercises with VsCode: https://youtu.be/ISv6XIl1hn0

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

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Join https://t.me/epythonlab for more learning resources

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok