Introduction to Python Programming - Python Programming For Data Science | Lecture Notes - YNetStudyHub
Python Programming For Data Science

Introduction to Python Programming

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An overview of Python programming language, its syntax, data types, variables, and basic operations.

Introduction to Python Programming
Quick‑reference guide for beginners


1. What Is Python?

Feature Description
High‑level Abstracts away low‑level details (memory management, pointers).
Interpreted Code is executed line‑by‑line by the Python interpreter; no separate compile step.
Dynamic typing Variable types are inferred at runtime.
Multi‑paradigm Supports procedural, object‑oriented, and functional styles.
Extensive standard library “Batteries‑included” modules for file I/O, networking, web, data, etc.
Cross‑platform Runs on Windows, macOS, Linux, and many embedded systems.

2. Setting Up the Environment

  1. Install Python

    • Download from https://python.org (latest stable release, e.g., 3.12).
    • Verify: python --version (or python3 --version on Unix).
  2. Choose an editor / IDE

    • Light: VS Code, Sublime Text, Atom.
    • Full‑featured: PyCharm, Thonny, Spyder, Jupyter Notebook/Lab.
  3. Virtual environments (recommended)

    # Create
    python -m venv myenv
    # Activate
    # Windows
    myenv\Scripts\activate
    # macOS / Linux
    source myenv/bin/activate
    # Install packages
    pip install numpy pandas
    

3. Basic Syntax & Concepts

3.1. Hello, World!

print("Hello, World!")

3.2. Variables & Data Types

Type Literal Example Common Operations
int 42 + - * // % **
float 3.14 + - * / **
str "text" concatenation +, formatting
bool True / False logical and, or, not
list [1, 2, 3] indexing, slicing, append, pop
tuple (1, 2) immutable sequence
dict {'key': 'value'} key‑value lookup
set {1, 2, 3} membership, set ops

3.3. Control Flow

# Conditional
if score >= 90:
    grade = 'A'
elif score >= 80:
    grade = 'B'
else:
    grade = 'C'

# Loop – for (iterates over any iterable)
for i in range(5):          # 0,1,2,3,4
    print(i)

# Loop – while
count = 0
while count < 5:
    print(count)
    count += 1

3.4. Functions

def greet(name: str, times: int = 1) -> None:
    """Print a greeting `times` times."""
    for _ in range(times):
        print(f"Hello, {name}!")

greet("Alice", 3)
  • Parameters can have default values and type hints.
  • Use return to send a value back.

3

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Unit Syllabus 29 Topics
Introduction to Python Programming
Data Structures in Python
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Control Flow in Python
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Functions and Modules
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File Handling in Python
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NumPy for Data Science
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Pandas for Data Science
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Data Visualization with Matplotlib
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Introduction to Machine Learning with Python
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Data Cleaning and Preprocessing
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Introduction to Python Programming
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Data Structures in Python
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Working with NumPy for Data Science
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Data Manipulation with Pandas
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Data Visualization with Matplotlib and Seaborn
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Introduction to Machine Learning with Scikit-Learn
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Web Scraping and Data Collection
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Introduction to Natural Language Processing (NLP)
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Introduction to Deep Learning with TensorFlow
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Handling Big Data with PySpark
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Introduction to Python Programming
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Data Structures in Python
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Working with Libraries for Data Science
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Data Cleaning and Preprocessing
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Exploratory Data Analysis (EDA)
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Machine Learning with Python
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Model Evaluation and Validation
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Data Visualization with Python
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Introduction to Deep Learning with Python
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