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Python File and Data Handling

Transform raw data into career opportunities with Python file mastery!

4.4
Intermediate

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Python File and Data Handling
4 Modules

Course Curriculum

4 Modules · 11 Chapters · 11 Topics · 82 Sub-topics

01
Foundation
2 Chapters · 2 Topics · 15 Sub-topics
Getting Started with Python
1 Topics
Introduction to Python
7 Sub-topics
What is Python and Why Learn It
Understanding Python Versions (HTML4 vs HTML5)
Installing Python and Setting Up Environment
Understanding Python REPL and Interactive Mode
Writing Your First Python Program
Python IDEs and Text Editors Overview
Understanding Python File Structure
Python Basics and Syntax
1 Topics
Python Syntax Fundamentals
8 Sub-topics
Python Indentation and Code Structure
Comments and Documentation Strings
Variables and Assignment
Dynamic Typing in Python
Understanding Python Keywords and Identifiers
Python Naming Conventions (PEP 8)
Taking User Input with input()
Understanding print() Function and Formatting
02
File Operations
3 Chapters · 3 Topics · 22 Sub-topics
File Handling - Part 1
1 Topics
File I/O Basics
8 Sub-topics
Understanding File I/O Concept
Opening Files with open() Function
File Modes (r, w, a, x, b, +)
Reading Files - read() Method
Reading Files - readline() Method
Reading Files - readlines() Method
Writing to Files - write() Method
Closing Files Properly
File Handling - Part 2
1 Topics
Advanced File Operations
7 Sub-topics
Context Managers with 'with' Statement
File Iteration and Line-by-Line Reading
File Pointer and seek() Method
tell() Method for Position
Working with Binary Files
File Buffering Concepts
File Existence and Properties Checking
Advanced File Operations
1 Topics
Advanced File Handling
7 Sub-topics
Working with Temporary Files
File Locking Mechanisms
Memory-Mapped Files
File Compression (gzip, zipfile)
Archive Creation (tarfile)
Working with Large Files
File System Watching
03
Working with Different Formats
5 Chapters · 5 Topics · 35 Sub-topics
Working with JSON
1 Topics
JSON Data Handling
7 Sub-topics
Understanding JSON Format
json Module Functions
Serializing Python Objects to JSON (dumps, dump)
Deserializing JSON to Python (loads, load)
Handling Complex Objects
Custom JSON Encoders/Decoders
JSON Pretty Printing
Working with CSV Files
1 Topics
CSV File Operations
7 Sub-topics
CSV Format Understanding
Reading CSV with csv.reader()
Writing CSV with csv.writer()
DictReader for Column-Based Reading
DictWriter for Column-Based Writing
Handling Different Delimiters and Dialects
CSV Best Practices
Working with XML
1 Topics
XML Processing
7 Sub-topics
Understanding XML Basics
xml.etree.ElementTree Module
Parsing XML Files
Navigating XML Trees
Finding Elements
Creating and Modifying XML
Writing XML to Files
Working with YAML
1 Topics
YAML Data Handling
7 Sub-topics
Understanding YAML Format
Installing PyYAML
Loading YAML Data
Dumping Data to YAML
YAML Data Types and Structures
Safe Loading for Security
YAML vs JSON vs XML
Serialization and Deserialization
1 Topics
Object Serialization
7 Sub-topics
Understanding Serialization Concept
pickle Module Deep Dive
Pickling and Unpickling Objects
pickle Protocol Versions
Security Concerns with pickle
Alternatives to pickle (JSON, YAML)
Custom Serialization with __getstate__ and __setstate__
04
Database Integration
1 Chapters · 1 Topics · 10 Sub-topics
Database Interaction - SQLite
1 Topics
Database Operations
10 Sub-topics
Understanding SQLite Basics
sqlite3 Module Introduction
Connecting to Databases
Creating Tables
Inserting Data (INSERT)
Querying Data (SELECT)
Updating and Deleting Data
Using Parameterized Queries
Transactions and Commit/Rollback
Cursor Objects and Iteration

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