Python Presentation_20250724_140746_0000
                     PYTHON
PROGRAMMING
BY   NARGIS 
KUMARI
Introducti
Pytohonn is a high-level, versatile, and widely 
used programming language known for its 
readability and ease of learning. Created by 
Guido van Rossum in 1991, it's used in 
various fields like web development, software 
development, data science, and machine 
learning. Python's design emphasizes code 
clarity and uses a syntax that allows 
developers to express concepts in fewer lines 
of code compared to other languages. 
SCOPE OF 
PYTH1.O WebN Development
Python is widely used for creating web applications 
with frameworks like:
Django – Full-stack framework for large-scale 
projects
Flask – Lightweight and easy to use for smaller 
apps
FastAPI – Modern framework for building APIs
🟢 Why it’s popular: Clean syntax, fast development, 
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Python dominates in:
Data Analysis with pandas, NumPy
Data Visualization with matplotlib, seaborn, Plotly
Statistical Analysis and reporting
🟢 Why: Extensive libraries, easy integration with 
data sources, and strong community support.
3. Machine Learning & AI
Python is the go-to language for AI because of:
Scikit-learn – Machine learning algorithms
TensorFlow, PyTorch – Deep learning
OpenCV – Computer vision
NLTK, spaCy – Natural language processing
🟢 Why: Strong ecosystem, GPU support, and 
excellent community documentation.
4. Software Development & 
Automation
Python helps automate tasks like:
File handling, data scraping, report 
generation
Scripting repetitive system tasks or 
testing
🟢 Tools: Selenium, BeautifulSoup, 
PyAutoGUI, Robot Framework
ADVANTAGES
2. Extensive Libraries and 
Frameworks
• Python offers rich libraries for 
almost every field
• Saves development time and 
effort.
✅ 1. Easy to Learn and Use 3. Versatile and Flexible
• Python has simple, readable • Python is used in many 
syntax similar to English. domains:
• Ideal for beginners and ⚬ Web development
professionals alike. ⚬ Data science
4. Strong Community Support 5. Platform Independent
• Massive, active community of • Python is cross-platform:
developers. ⚬ Run the same code on Windows, 
• Tons of free tutorials, documentation, macOS, Linux without modification.
forums, and Q&A sites like Stack • Helps in creating portable applications.
Overflow.
• Easy to find help or collaborators for 
projects.
DISADVANTAGE
1. Slower Speed Compared to CompileSd 
Languages
Python is an interpreted language, not compiled.
Slower execution than languages like C, C++, or Java.
Not ideal for performance-critical applications (like 
real-time systems or game engines).
2. High Memory Consumption
Python uses more memory because of its dynamic 
typing and flexibility.
Not suited for memory-intensive tasks on limited 
hardware (e.g. mobile or embedded systems).
3. Weak in Mobile Development
Python is rarely used for developing mobile apps.
Lacks strong support and tools for mobile platforms compared to Swift (iOS) or Kotlin 
(Android).
4. Runtime Errors
Python is dynamically typed, so type-related 
bugs may only appear at runtime.
This can lead to unexpected crashes if not 
carefully tested.
5. Not Ideal for Multi-threading (CPU-
bound tasks)
Due to the Global Interpreter Lock (GIL), 
Python has limitations in running multiple 
CPU-heavy threads in parallel.
Not optimal for multi-threaded, CPU-intensive 
programs.
Thank 
You