Python Pro Bootcamp Zero to Hero
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Course Description:
Welcome to the Master Python Programming Bootcamp, an all-inclusive course designed to transform you from a complete beginner to a proficient Python programmer. Whether you’re just starting your coding journey or looking to elevate your skills to the next level, this Bootcamp is meticulously crafted to guide you through every step of learning Python.
Course Overview:
Python is one of the most versatile and widely-used programming languages in the world, known for its simplicity, readability, and powerful capabilities. This Bootcamp will take you on a comprehensive journey through Python, covering everything from basic syntax and foundational concepts to advanced programming techniques, real-world applications, and industry best practices.
What You’ll Learn:
1. Introduction to Python:
– Overview of Python and its applications in various industries.
– Setting up your development environment with Python and popular IDEs.
– Understanding Python syntax, variables, and data types.
2. Control Structures:
– Mastering conditional statements (if, else, elif) and loops (for, while).
– Writing efficient and readable code with control flow techniques.
– Practical exercises to solidify your understanding.
3. Functions and Modules:
– Creating and using functions to write modular code.
– Exploring Python’s built-in functions and creating custom functions.
– Understanding scope, recursion, and lambda functions.
– Importing and utilizing modules and libraries.
4. Data Structures:
– In-depth exploration of lists, tuples, dictionaries, and sets.
– Advanced data structure manipulation techniques.
– Working with complex data structures in real-world scenarios.
5. Object-Oriented Programming (OOP):
– Core concepts of OOP: classes, objects, inheritance, and polymorphism.
– Designing and implementing classes and objects in Python.
– Leveraging OOP to write clean, efficient, and reusable code.
– Real-world examples and projects to apply OOP concepts.
6. File Handling:
– Reading from and writing to files in Python.
– Handling different file formats: text, CSV, JSON, and more.
– Practical applications of file handling in data processing tasks.
7. Exception Handling:
– Writing robust code with Python’s exception handling mechanism.
– Understanding and handling different types of exceptions.
– Implementing try-except blocks, raising exceptions, and custom exception classes.
Why This Course is Different:
– Comprehensive Curriculum: This Bootcamp covers every aspect of Python programming, ensuring you gain a complete understanding of the language.
– Project-Based Learning: Engage in numerous real-world projects that reinforce your learning and build a strong portfolio.
– Expert Instruction: Learn from an experienced instructor who brings industry knowledge and practical insights to the table.
– Lifetime Access: Enjoy lifetime access to the course materials, allowing you to revisit and review content at your own pace.
– Supportive Community: Join a community of fellow learners, participate in discussions, and receive support throughout your learning journey.
Who This Course is For:
– Beginners with no prior programming experience who want to learn Python from scratch.
– Intermediate learners looking to deepen their understanding of Python and explore advanced topics.
– Professionals seeking to enhance their skills for career advancement or transitioning into a Python-focused role.
– Students preparing for technical interviews and looking to build a strong foundation in Python programming.
Course Requirements:
– No prior programming experience is required. A passion for learning and a computer with internet access are all you need to get started!
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Course IntroductionPython master Bootcamp
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VS code installation
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How to run your first code in python
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Why to learn python language and its features
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Issues in python
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Python usecase to understand importance of python
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Python introduction and Basics QuizTest your grasp of Python fundamentals in this comprehensive quiz. From basic syntax and data types to control structures and functions, you'll demonstrate your understanding of Python's core concepts. Tackle questions on variables, operators, loops, lists, dictionaries, and file handling. Perfect for beginners aiming to solidify their Python knowledge and prepare for more advanced programming challenges.
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Variables and Constants
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Naming of variables in python
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Dynamic binding and dynamic typing
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Keywords and identifiers
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Comments
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Indentation in python
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Type conversion ,type casting
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Print fucntion
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Input function
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String formating
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Eval function
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Python variables Quiz
Python variables are named containers for storing data values. They're created when you assign a value using the "=" operator. Variables can hold various data types like numbers, strings, or complex objects. Python is dynamically typed, so you don't need to declare the type explicitly. Variable names are case-sensitive and must follow certain naming conventions.
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Operators in python
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Arithmetic operators
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Assignment operators and comparsion operators
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Logical and bitwise
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Membership and identity operators
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Python Operators Quiz
Python operators are symbols or keywords that perform operations on values or variables. They include arithmetic (+, -, *, /), comparison (==, !=, <, >), logical (and, or, not), assignment (=, +=), bitwise (&, |, ^), identity (is), and membership (in) operators. These allow you to perform calculations, make comparisons, combine conditions, and manipulate data efficiently in your Python programs.
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If , else , elif , finaly keyword
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Nested if else statement
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Practice question condtional statement
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Conditional statement in python Quiz
Conditional statements in Python, such as `if`, `elif`, and `else`, control the flow of execution based on logical conditions. They allow the program to execute specific code blocks when certain conditions are true or false, enabling decision-making and branching in the code.
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For loops
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Nested for loops
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While loop
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Break
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Continue statement
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Pass
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For loop exercise 1
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While loop exercise 2
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Loops in python Quiz
Python offers two main types of loops: 'for' and 'while'. 'For' loops iterate over a sequence (like a list or range) for a set number of times. 'While' loops continue as long as a condition is true. Both allow you to repeat code blocks, process data collections, and create iterative algorithms efficiently.
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Data types in python
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String introduction
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String oerpration
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String functions and methods
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Escape Sequence character
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Regular expressions
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String interview theory questions
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String interview coding questions
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Data types (string) Quiz
In Python, a `string` is a sequence of characters enclosed in quotes (single, double, or triple). Strings are immutable, meaning their content cannot be changed once created. They support various operations like concatenation, slicing, and methods for manipulation, such as `lower()`, `upper()`, and `replace()`.
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List createing , slicing and indexing
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List operations
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List methods
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Zip and Enumerate function
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List comprehension
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Del vs None type
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List theory interview questions
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List coding interview questions
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Data types(List) Quiz
Lists in Python are ordered, mutable sequences that can store multiple items of any type. They're created using square brackets [] or the list() constructor. Lists support indexing, slicing, and various methods like append(), remove(), and sort(). They're versatile for storing and manipulating collections of data in Python programs.
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Tuples creating and features
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Tuples packing and unpacking , slicing and indexing
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List vs tuples
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Tuple methods , functons and operators
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Tuple theory questions
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Tuple coding questions
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Data types (tuples) Quiz
Tuples in Python are ordered, immutable sequences that can store multiple items of any type. They're created using parentheses () or the tuple() constructor. Tuples support indexing and slicing, but not item assignment or deletion. They're often used for grouping related data and can be elements in sets or dictionary keys.
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Sets introduction
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Sets use case
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Sets methods , functions and operation
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Set comprehension
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Frozen set
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Set theoretical questions
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Set coding questions
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Dictionary creation and features
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Data types (set) Quiz
Sets in Python are unordered collections of unique elements. They're created using curly braces {} or the set() constructor. Sets don't allow duplicates and support mathematical operations like union, intersection, and difference. They're mutable but can only contain immutable elements. Sets are useful for removing duplicates and testing membership efficiently.
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Dictionary methods
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Dictionay function and operators
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Nested Dictionary
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Dictionary comprehension
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Dictionary practice questions
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Data types( dictionary ) Quiz
A dictionary in Python is a versatile data structure that stores key-value pairs. It's unordered, mutable, and uses curly braces {}. Keys must be unique and immutable (e.g., strings, numbers, tuples), while values can be of any type. Dictionaries offer fast lookups and are ideal for representing structured data.
