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Python Industry_ready Training Topics

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Basic 10 | Basic 20 | Intermediate | Advanced | WS-Internship |
Topic Subtopic Industry-Ready
Introduction to Python Introduction to Python โœ“
Python Syntax and Structure โœ“
Comments โœ“
Docstrings โœ“
Variables โœ“
Data Types โœ“
Integers โœ“
Floats โœ“
Strings โœ“
Booleans โœ“
Input and Output โœ“
Type Conversion and Casting โœ“
Python Operators Arithmetic Operators โœ“
Assignment Operators โœ“
Comparison Operators โœ“
Logical Operators โœ“
Bitwise Operators โœ“
Membership Operators (in, not in) โœ“
Identity Operators (is, is not) โœ“
Conditional Statements if โœ“
elif โœ“
else โœ“
Loops for Loops โœ“
while Loops โœ“
Nested Loops โœ“
Loop Control Statements break โœ“
continue โœ“
pass โœ“
Data Structures in Python String Methods โœ“
Slicing โœ“
Indexing โœ“
String Formatting โœ“
Lists โœ“
List Methods and Slicing โœ“
List Comprehensions โœ“
Using Lists as Stacks โœ“
Using Lists as Queues โœ“
Nested List Comprehensions โœ“
The del statement โœ“
Tuples โœ“
Immutability โœ“
Tuple Methods โœ“
Dictionaries (Basic) โœ“
Key-Value Pairs โœ“
Dictionary Methods โœ“
Dictionary Comprehensions โœ“
Sets โœ“
Set Methods โœ“
Set Operations โœ“
Arrays โœ“
Functions Defining Functions โœ“
Positional and Keyword Arguments โœ“
Default Arguments โœ“
Arbitrary Arguments (*args, **kwargs) โœ“
Return Statement โœ“
Lambda Functions (Anonymous Functions) โœ“
Scope and Lifetime of Variables (Local, Global, nonlocal) โœ“
Classes and Objects Creating Classes โœ“
Creating Objects โœ“
Attributes and Methods โœ“
Inheritance Single Inheritance โœ“
Multiple Inheritance โœ“
Multilevel Inheritance โœ“
Overriding Methods โœ“
Using super() โœ“
Polymorphism Method Overloading (conceptual; Python doesnโ€™t support this directly) โœ“
Method Overriding โœ“
Encapsulation Encapsulation โœ“
Reading and Writing Files Opening Files (open()) โœ“
Modes: r, w, a, r+, etc. โœ“
Reading: read(), readline(), readlines() โœ“
Writing: write(), writelines() โœ“
Working with binary files (rb, wb) โœ“
Working with File Paths Using os and pathlib modules. โœ“
File Iterators Reading files line by line with for loops. โœ“
Handling Exceptions in File Operations Handling Exceptions in File Operations โœ“
Working with CSV and JSON Files csv module for reading and writing CSV files. โœ“
json module for JSON serialization and deserialization โœ“
Try-Except Blocks Single except block โœ“
Multiple except blocks โœ“
Exception Handling Using else and finally โœ“
raise statement. โœ“
Built-in Modules Popular modules: math, os, sys, time, random, re, itertools, collections. โœ“
Creating Custom Modules Creating Custom Modules โœ“
Working with Packages __init__.py and structuring packages. โœ“
Importing Importing โœ“
Iterators Creating custom iterators using __iter__ and __next__. โœ“
Generators Using yield in functions. โœ“
Generator expressions โœ“
Function Decorators Creating and using decorators. โœ“
Using multiple decorators on a single function โœ“
Class Decorators Class Decorators โœ“
Regular Expressions re.match, re.search, re.findall, re.split, re.sub โœ“
Literal characters, special characters. โœ“
Quantifiers (*, +, ?, {}) โœ“
Character classes and sets ([a-zA-Z], \d, \w, etc.) โœ“
Anchors (^, $) โœ“
Functional Programming Using map() for transformations. โœ“
Filtering sequences with filter(). โœ“
Aggregating data with functools.reduce() โœ“
Lambda Functions โœ“
List, Set, and Dictionary Comprehensions โœ“
Working with Dates and Times datetime.date, datetime.time, datetime.datetime. โœ“
Formatting with strftime. โœ“
Parsing with strptime โœ“
Time functions: time(), sleep(), ctime() โœ“
Introduction to Threads What is threading? โœ“
Difference between threads and processes. โœ“
Using the threading Module Creating and starting threads. โœ“
Using join() and is_alive() methods. โœ“
Daemon threads and their use โœ“
Thread Synchronization Avoiding race conditions using Lock, RLock, Semaphore. โœ“
Thread-safe data structures (e.g., queue.Queue). โœ“
Introduction to Multiprocessing Why use multiprocessing over threading? (Global Interpreter Lock - GIL) โœ“
Creating and managing processes โœ“
Using the multiprocessing Module Process, Pool, and Manager. โœ“
Sharing data using Value and Array. โœ“
Unit Testing Writing tests using unittest. โœ“
Using assertions (assertEqual, assertRaises, etc.). โœ“
Test Discovery Using unittest or pytest to find and run test cases โœ“
Debugging Using pdb (Python Debugger) for step-by-step debugging โœ“
Advanced File Operations Reading and writing large files efficiently. โœ“
Working with temporary files using tempfile. โœ“
Directory Operations Managing directories with os and shutil. โœ“
Walking through directories using os.walk() โœ“
Error Handling Catching and handling file-related exceptions (FileNotFoundError, PermissionError). โœ“
Data Analysis with Pandas DataFrame and Series objects. โœ“
Pandas Reading and writing data from various formats (CSV, Excel, SQL, JSON). โœ“
Handling missing values (fillna, dropna). โœ“
Data type conversions. โœ“
String operations on columns. โœ“
Filtering and indexing. โœ“
Grouping and aggregations (groupby, pivot_table). โœ“
Sorting and ranking. โœ“
Joining and merging DataFrames. โœ“
Cloud-Lab Support Cloud-Lab Support โœ“
Introduction to Web Scraping What is web scraping, use cases, ethics & legality โœ—
Python Refresher Variables, loops, functions, exception handling โœ—
Working with HTTP HTTP methods, headers, status codes, intro to requests library โœ—
Parsing HTML with BeautifulSoup DOM structure, navigating and searching HTML trees (find, select) โœ—
Data Extraction Techniques Extracting text, attributes, handling tables and lists, writing to CSV/JSON โœ—
Handling Real-World Pages Dynamic content, user agents, headers, cookies, session handling โœ—
Selenium Basics Webdriver setup, locating elements, clicking, inputting, screenshots โœ—
Headless browsing, wait strategies (WebDriverWait, expected_conditions) โœ—
Authentication & Pagination Login handling, infinite scroll, "Next Page" navigation โœ—
Captchas & Anti-Bot Measures IP rotation, proxies, CAPTCHAs overview, handling bot protection basics โœ—
Introduction to Scrapy Scrapy project structure, items, pipelines, spiders โœ—
Scrapy Advanced Features Middlewares, logging, exporting, working with APIs โœ—
Storing Data Storing in MySQL, SQLite, MongoDB, file system โœ—
Real-World Projects Build 2 projects: e.g., Product price tracker, Job listing scraper โœ—
Regex in Scraping Matching complex patterns in HTML/text โœ—
APIs vs Scraping When to use an API, how to call and parse JSON responses โœ—
Scheduling & Automation Using cron, Python scripts with schedule, deployment strategies โœ—
Data Cleaning Using pandas or custom scripts for cleaning scraped data โœ—
Enrollment Plan 6 Months Duration 60,000 120,000
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