Introduction of Python, Software Training Institute

Introduction of
Python
Presented by Kavitha
Quality Thought
simplicity and
readability.

2: Why Python?
● Readability: Python's syntax is simple and clear, making it beginner-
friendly.
● Versatility: Used in web development, data science, artificial
intelligence, automation, and more.
● Cross-platform: Works on Windows, macOS, and Linux.
● Large Community & Support: Large open-source community and a
vast collection of libraries and frameworks.

3: Python Syntax Basics
● Variables and Data Types:
○ Integer (int), Float (float), String (str), List, Dictionary (dict), Tuple, Set.
○ Example: x = 5, name = "Python"
● Control Structures: if, for, while, try-except (for exception handling).
Example:
python
if x > 10:
print("x is greater than 10")
● Functions: Defined using def keyword.
Example:
python
def greet(name):
○ return f"Hello, {name}!"

4: Python Libraries & Frameworks
● Data Science:
○ NumPy, Pandas (data manipulation), Matplotlib, Seaborn
(visualization), Scikit-learn (machine learning).
● Web Development:
○ Flask, Django (web frameworks).
● Machine Learning:
○ TensorFlow, Keras, PyTorch.
● Automation & Scripting:
○ Selenium, Requests (web scraping, API interaction).

5: Real-World Applications of Python
● Data Science: Python is widely used for data analysis, visualization,
and machine learning.
● Web Development: Django and Flask help build scalable web
applications.
● Automation: Python is often used for automating repetitive tasks,
file manipulation, and more.
● Artificial Intelligence: Python is the go-to language for AI and deep
learning applications.
● Game Development: Frameworks like Pygame enable game creation.
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Introduction of Python, Software Training Institute

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