@@ -18,7 +18,56 @@ Python is a general-purpose programming language that is interpreted, object-ori
1818 - You can use Raspberry Pi to create DIYs and other projects like robots, arcade machines, remote-controlled toys, and cameras.
1919 - Python’s readability and ease-of-use make developers more productive.
2020
21- Still skeptical?? refer: [ Reasons why you must learn python] ( https://data-flair.training/blogs/why-should-i-learn-python/ )
21+ [ Top 7 reasons why you must learn python] ( https://data-flair.training/blogs/why-should-i-learn-python/ )
22+ 23+ ## 3. What is it used for?
24+ Python is a general-purpose language, but is used almost everywhere:
25+ - Web development
26+ - Game development
27+ - Machine Learning
28+ - Data Science (preferred)
29+ - Artificial Intelligence (ex- robotics)
30+ - Scripting
31+ - Computer Vision
32+ - Scraping
33+ - Natural Language Processing
34+ - Data analytics
35+ - Scientific and Numeric computing
36+ - Software Application Development
37+ - Desktop GUI
38+ - Network Programming
39+ 40+ ## 4. Is Python Easy to Learn?
41+ Python is definitely easy to learn, that is why it is taught to university students- to create interest in programming. Python is:
42+ 43+ - Easy to learn- it has a smooth learning curve
44+ - Easy to read- it is easy to read and understand someone else’s code
45+ - Easy to write- Python’s syntax is like English
46+ - Easy to debug- it gives you full tracebacks
47+ 48+ ## 5. How to Learn?
49+ Want to learn Python and build a career in it? We have laid down steps to help you:
50+ 51+ - Follow online tutorials
52+ - Code while you learn
53+ - Read books
54+ - Watch videos/ Do an online Python course
55+ - Work with machine learning and other libraries
56+ - Build projects
57+ - Read interview questions
58+ - Contribute to open-source projects
59+ 60+ ### Top Python Books
61+ These are some books you should read to improve your Python skills:
62+ 63+ Learning Python - Mark Lutz
64+ Python Cookbook - David Beazley and Brian K. Jones
65+ Python for Data Analysis - Wes McKinney
66+ Python Essential Reference - David Beazley
67+ Python in a Nutshell - Alex Martelli
68+ Violent Python - TJ O’Connor
69+ Python Pocket Reference - Mark Lutz
70+ 2271
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