77 docs tagged with "python"

Master basic arithmetic operations with 15+ programming practice problems for C, C++, Java, and Python. Step-by-step practical programming guide with examples.

Python basics — interpreter model, script structure, indentation rules, print and input, and execution flow. Starting point for BCA Programming Skills 204.

Python collections — tuple, set, and dictionary creation, access, and methods. Covers immutability, set operations, and dict comprehension for BCA.

15+ common Python mistakes explained with wrong and correct code examples. Covers syntax errors, logic bugs, performance pitfalls, and style issues.

The definitive Computer Science glossary for GSEB, CBSE, ICSE & BCA students in Surat. Plain-language definitions for 50+ terms — OOP, JVM, recursion, SQL.

Python conditional and iterative statements — if-elif-else, nested if, while, for, break, continue, pass, and loop else with examples for BCA practical exams.

Learn how to create pandas DataFrames from dictionaries, lists, and CSV files. Understand rows, columns, index. Practical code guide & notes for student exams.

SD Jain College FYBCA Semester 2 practical journal programs for 204 Programming Skills Using Python. Solved VNSGU BCA practical exam question paper solution.

Your complete guide to starting with Python: learn what Python is, install it on any OS, write your first program, run scripts, and choose the right editor.

Write your very first Python program. Learn the print() function, syntax rules, and how to execute scripts from the terminal. Complete student exam study guide.

Master row and column selection in pandas DataFrames using loc (label-based) and iloc (position-based). Learn to filter rows with boolean conditions.

Learn what pandas is, why data scientists use it, how to install it with pip, and how to import it in your Python scripts with practical examples.

Python lists — creation, indexing, slicing, append, remove, sort, and common list methods. Includes practical examples for BCA Programming Skills 204 students.

NumPy and Pandas basics — array creation, statistics with NumPy, and DataFrame creation and indexing with Pandas. Practical intro for BCA data analysis topics.

Master the pandas Series object — a labeled, one-dimensional array. Learn to create, index, slice, and perform operations on Series with Python examples.

Practice Python basics: print(), the REPL, comments, and your first Hello World program with three levels of challenges. Structured study material & code notes.

Practice variables, data types, operators, string manipulation, and type casting with three difficulty levels. Complete practical study guide for student exams.

Practice if-elif-else, for loops, while loops, break/continue, and comparisons with three levels of challenges. Practical code guide & notes for student exams.

Practice lists, tuples, dictionaries, sets, and nested data structures with three levels of challenges. Step-by-step practical programming guide with examples.

Practice defining functions, return values, lambda, list comprehension, and importing modules with three levels of challenges. Free student exam study guide.

Practice classes, objects, __init__, inheritance, methods, and encapsulation with three levels of challenges. Complete practical study guide for student exams.

Practice file I/O, exception handling, algorithms (search/sort), and database basics with three levels of challenges. Free student notes & practical code guide.

Practice pandas Series, DataFrames, CSV handling, and basic data analysis with three levels of challenges. Free student notes & practical code examples guide.

Python track covering fundamentals, strings/operators, control flow, collections, NumPy, and Pandas. Step-by-step practical programming guide with examples.

Programming Skills 204 — C and Python coding exercises for BCA, BBA, and GSEB students. Covers problem-solving fundamentals and practical programming lab tasks.

Master Python's arithmetic operators, including standard math and Python-specific ones like Floor Division and Exponentiation. Learn BODMAS in coding.

Master Python Async/Await. Learn async def, await, asyncio, tasks, and gather for concurrent I/O operations with real-world examples. Complete.

Master Python Booleans. Understand how expressions evaluate to True or False and learn the rules of Truthy and Falsy values in coding. Complete.

Master loop control in Python. Learn when to jump out of a loop (break), skip an item (continue), or use a placeholder (pass). Free student exam study guide.

A comprehensive reference for Python's built-in functions. Learn how to use print, len, range, and more with the Tool Belt scenario. Complete.

Real-world Python case studies covering web scraping, data analysis, and CLI automation. See how Python solves practical problems. Complete practical.

Printable Python cheatsheets covering syntax, data types, control flow, functions, OOP, file I/O, and more. Free student notes & practical code examples guide.

Python Course Foundations hub — variables, data types, strings, lists, collections, functions, and OOP basics aligned with BCA Programming Skills 204 outcomes.

Your roadmap to mastering data science with Python and pandas. Learn Series, DataFrames, indexing, and CSV file handling with real-world examples.

Python data types — int, float, str, bool, and type conversion. Covers casting, type() function, and practical input/output workflows for BCA students.

Learn how to connect Python to databases. Master SQLite (built-in), MySQL, and MongoDB using the Digital Librarian scenario. Complete student exam study guide.

Master advanced Python tools. Learn how to wrap functions with Decorators and process huge data with Generators using the Gift Wrapper scenario.

Learn how to deploy Python applications — CLI tools with PyInstaller, web apps on Render/PythonAnywhere/Railway, and data dashboards on Streamlit Cloud.

Master Python Dictionaries. Learn how to store data in key-value pairs, access values by names, and use common dict methods like items(), keys(), and values().

Structured Python exercises in 8 phases—from Hello World to Data Science. Each phase offers starter code and solutions across three difficulty levels.

Explore the core features of Python like dynamic typing and portability. Learn how Python is used in Web Dev, AI, Data Science, and Automation.

Comprehensive A-Z glossary of Python programming terms with definitions and cross-links to tutorials. 50+ essential terms explained. Complete.

Build your first desktop app with Python's Tkinter. Learn about widgets, geometry managers, and event handling using the Remote Control scenario.

Learn how to make HTTP requests in Python using the requests library. Master GET, POST, headers, error handling, and working with REST APIs.

Learn how to make decisions in Python using If, Elif, and Else. Includes the Traffic Light scenario and flowcharts for logical branching. Complete.

Step-by-step guide to installing Python 3 and setting up your first IDE. Includes tips for Windows PATH configuration and Linux setup. Complete.

Comprehensive Python interview preparation with 30+ questions from beginner to advanced, coding challenges, and tips for success. Free student exam study guide.

Learn about Python's reserved keywords and various types of literals (numeric, string, boolean). Essential reference for board exams and interviews.

A structured 8-phase Python roadmap from beginner to advanced. Follow this path to master Python foundations, control flow, OOP, data science, and more.

Learn how to use Python Lists to store and manage collections of data. Master indexing, slicing, and common list methods like append, pop, and sort.

A definitive guide to choosing the right loop and control statement in Python. Compare efficiency and use cases for For, While, Break, and Continue.

A quick-lookup guide for the most useful Python methods. Master string manipulation, list management, and dictionary lookups with the Multi-Tool scenario.

Master Python's numeric types (int, float, complex) and learn how to convert between them using explicit and implicit type casting. Complete.

Master Python packaging. Learn pip, virtual environments, requirements.txt, project structure, and how to publish your own packages to PyPI.

Hands-on Python projects from beginner to advanced. Build real applications and create a portfolio that showcases your skills. Free student exam study guide.

A printable Python quick reference cheatsheet covering syntax, data types, operators, string/list/dict methods, control flow, OOP, files, and exceptions.

Learn how to search text with Regular Expressions and speed up your code with Multiprocessing. Includes the DNA Scanner and Kitchen Team scenarios.

Master Python Sets. Learn about unordered collections, removing duplicates, and mathematical operations like Union and Intersection with Venn diagrams.

80-question Python skills assessment organized into 8 progressive phases. Pass each phase (≥7/10) to unlock the next. Free student notes & practical code guide.

Learn to manipulate text in Python. Master string slicing, formatting with f-strings, and essential methods like upper, lower, and replace. Complete.

Learn how to swap two variables in Python using the classic temporary variable method and the elegant Pythonic tuple unpacking way. Complete.

Master the fundamental rules of Python syntax, including the mandatory indentation rule and how to use comments effectively for clean code. Complete.

Master Python testing with pytest. Learn to write tests, use fixtures, parametrize test cases, measure coverage, and build reliable software.

Learn about Python Tuples and why they are useful. Understand immutability, tuple packing/unpacking, and when to use Tuples instead of Lists.

Structured Python learning roadmap from beginner foundations to practice, data handling, and advanced topics. Complete practical study guide for student exams.

Master Python Type Hints. Learn how to add type annotations to variables, functions, and collections for better code clarity and IDE support.

Learn how to take user input in Python using the input() function and display it back with formatting. Master basic interaction. Free student exam study guide.

Python variables — naming rules, dynamic typing, multiple assignment, constant conventions, and global vs local scope for BCA Programming Skills 204.

Learn how to store and organize data using Python variables. Includes a deep dive into Numeric, Sequence, Mapping, and Set data types. Complete.

Learn to read and write CSV files using pandas pd.read_csv() and df.to_csv(). Understand how pandas handles headers, encoding, and missing data from CSV files.

Expand your Python skills with BeautifulSoup for web scraping, Folium for maps, and OpenCV for computer vision. Build real-world projects. Complete.

Python strings and operators — string creation, slicing, methods (upper, lower, split, replace), and arithmetic, comparison, logical operators with examples.

User-defined functions in Python — def syntax, parameters, default arguments, return values, and scope. Covers lambda and recursion for BCA practical exams.

Free computer science tutorials, programming guides & board exam notes (GSEB, CBSE, ICSE, BCA). Master Python, Java, SQL, HTML, C/C++ with practical code.

Step-by-step practical exam solutions for VNSGU BCA Semester 3 Database Handling using Python and SQLite (April 2025, Set A). Free VNSGU BCA paper study guide.

Step-by-step practical exam solutions for VNSGU BCA Semester 3 Database Handling using Python and SQLite (April 2025, Set B). Free VNSGU BCA paper study guide.

Discover why Python is the world's most popular language. Learn its history, the WORA principle, and why it is perfect for students and professionals.