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