Python Mastery: Bootcamp For Beginners To Expert

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Master Python fundamentals and advance to developing custom applications and software solutions efficiently.

What you'll learn
Develop problem-solving skills using Python.
Apply Python to real-world scenarios and personal projects.
Create a portfolio of 100+ Python projects to apply for developer jobs
Develop a diverse portfolio containing over 100 Python projects to enhance your qualifications for developer positions.
Establish a solid grasp of Python fundamentals starting from the basics.
In this Course you will Learn Anaconda distribution and become familiar with Jupyter Notebook.

Requirements
Access to the internet and computer is all you need.
No prior programming experience required – I'll guide you through every essential concept.
I'll provide detailed, step-by-step instructions for installing and configuring all necessary software.
No need to purchase any software – I'll instruct you on using PyCharm, Jupyter Notebooks, and Google Colab.

Description
Embark on a comprehensive journey to master Python, one of today's most essential skills. This course covers Python 3, starting from the basics and progressing to advanced features, with over 100 lectures and 15+ hours of video content. You'll build a Python project portfolio with practical examples, coding exercises, and projects while learning at your own pace. Gain lifetime access to valuable resources and elevate your career with practical Python expertise.Our Course Covers the Following Topics with Realtime Practical Examples:Here's a comprehensive Python syllabus:Introduction to PythonHistory of PythonFeatures and advantagesInstalling PythonPython BasicsPython syntax and structureVariables and data typesBasic operatorsInput and outputConditional statements (if, elif, else)Loops (while loop, for loop)String ManipulationString methods and operationsFormatting stringsData StructuresListsTuplesSetsDictionariesand many moreThis course is designed to stay relevant and up-to-date by regularly adding new content and projects based on feedback and suggestions from students like yourself. Your input helps shape the direction of the course, ensuring it remains dynamic and responsive to the evolving needs of learners. Through comprehensive and engaging video tutorials, we'll guide you through each concept and skill, providing the necessary support and resources for you to succeed as a Python developer. Whether you're a beginner or looking to advance your skills, you'll find the course tailored to meet your needs and help you achieve your goals in Python programming.Atish Jain-Coding Career Expert

Overview
Section 1: Introduction to Python
Lecture 1 Course Introduction
Lecture 2 Introduction to Python
Lecture 3 More About Guido Van Rossum
Lecture 4 Features of Python
Lecture 5 Who Uses Python?
Lecture 6 Applications of Python
Lecture 7 Python Libraries
Lecture 8 How Python is Related to AI, ML and Data Science
Lecture 9 Career Opportunities
Lecture 10 AI Applications
Lecture 11 Why Java is More Popular than Python
Section 2: Setting Up Python Environment
Lecture 12 Downloading & Installing Python Interpreter
Lecture 13 Downloading and Installing PyCharm IDE
Section 3: Getting Started with Python
Lecture 14 Working with IDLE
Lecture 15 Writing Programs in Script Mode
Lecture 16 Comments in Python
Lecture 17 Python Keywords
Lecture 18 Help In Python
Lecture 19 Understanding the Concept of Modules in Python
Lecture 20 Introduction to PIP Command
Lecture 21 Introduction to print() function in Python
Lecture 22 Escape Sequence in Python
Lecture 23 What is RAW String in Python?
Section 4: Variables, Datatypes & Built-in Functions
Lecture 24 Introduction to Variables in Python
Lecture 25 Why Datatype?
Lecture 26 Introduction to Datatypes
Lecture 27 Type Conversion in Python
Lecture 28 Working with IS Operator in Python
Lecture 29 Small Integer Caching in Python
Lecture 30 Numeric Literal Separator
Lecture 31 Rounding Decimal Places using round() function
Section 5: Anaconda Distribution & Jupyter Notebook
Lecture 32 What is Anaconda?
Lecture 33 What is Jupyter Notebook
Section 6: Operators, Number System & Miscellaneous Concepts
Lecture 34 Operators in Python
Lecture 35 Introduction to Number System
Lecture 36 Working with Bitwise Operators AND, OR and XOR
Lecture 37 Working with Bitwise NOT Operator
Lecture 38 Working with Right Shift & Left Shift Operators
Lecture 39 Introduction to ASCII Codes
Lecture 40 Operators Precedence
Section 7: Getting Started with Python Programming
Lecture 41 Reading User Input
Lecture 42 Preparing Bill for the Mobiles Purchased
Lecture 43 Write a Program to Calculate Bill Amount from the Inputted Rate & Quantity
Lecture 44 Working with Compound Statements in Python
Lecture 45 Find the Sum of a two Digit Number
Lecture 46 Formatting the output
Lecture 47 Formatting Decimal Values
Lecture 48 Deep Dive into format() method
Lecture 49 Calculate the Flying time
Lecture 50 Split the Restaurant Bill among friends
Lecture 51 Introduction to eval() function
Lecture 52 Introduction to Standard Built In Library Functions
Lecture 53 Working with Command Line Arguments(Optional)
Section 8: Getting Started with Control Statements
Lecture 54 Introduction to Conditional Statements
Lecture 55 Simple if Statement - Voting Example
Lecture 56 If with else Statement - even or odd Example
Lecture 57 Importance of Indentation
Lecture 58 if-elif statements - Student Grade Example
Lecture 59 Checking the Character Input
Lecture 60 Check Whether the Inputted Character is Vowel or Consonant - Logic 1
Lecture 61 Check Whether the Inputted Character is Vowel or Consonant - Logic 2
Lecture 62 Project 1 - Adventure Theme Parks Roller-coaster Ride
Lecture 63 Project 2 - BMI Calculator Application
Lecture 64 Project 3 - Cold Brew Cafe Billing Application
Lecture 65 Introduction to Ternary Operators
Lecture 66 Deep Dive Into Ternary Operators
Section 9: Getting Started with Loops/Iterations
Lecture 67 Introduction to Loops
Lecture 68 Fill the Bag with 1 Dozen of Apples
Lecture 69 Find Average Age of Students of a Class
Lecture 70 Print the Inputted Name Length Many Number of Times and Debug the Code
Lecture 71 Program to Validate 10 Digit Mobile Number
Lecture 72 Introduction to for Loop
Lecture 73 Iterate Over a String Object using for Loop
Lecture 74 Introduction to jump statements
Lecture 75 Simulating Coke Vending Machine - break statement demo
Lecture 76 Calculate Sum of N Positive Integers - continue statement demo
Lecture 77 Print the Last Character from the Inputted Name - pass statement demo
Lecture 78 else with while and for
Lecture 79 Prime Number Checking Example using for...else
Lecture 80 Random Number Generation
Lecture 81 Introduction to Nested Loops
Lecture 82 Printing Tables from 2 to N, Each Table till N
Lecture 83 Printing Prime Numbers from 1 to 100
Lecture 84 Pattern 1 - Printing Star Pattern
Lecture 85 Pattern 2 & 3 - Printing Patterns using Numbers
Section 10: Strings in Python
Lecture 86 Introduction to string datatype
Lecture 87 Various Uses of Quotes
Lecture 88 String Indexing & Traversing
Lecture 89 String Slicing
Lecture 90 Project 1: Split First Name, Last Name & Generate User name, Domain & Provider
Lecture 91 Immutable Strings in Python
Lecture 92 String Operators
Lecture 93 Python Functions vs Python Methods
Lecture 94 String Functions
Lecture 95 Working with join() function in Python
Lecture 96 Project 2: Palindrome String Checking
Lecture 97 Project 3: Password Strength Checking
Section 11: Python Data Structures: Lists
Lecture 98 Introduction to Data Structures
Lecture 99 Introduction to List & List Creation
Lecture 100 Creating List using Constructor
Lecture 101 Indexing & Slicing
Lecture 102 List Traversing
Lecture 103 Implementing Built-in Functions in Lists
Lecture 104 Exploring Lists of Delicious Fruits - Assignment on Lists
Lecture 105 Python List Methods Part 1/2
Lecture 106 Python List Methods Part 2/2
Lecture 107 Assignment on List of Fruits
Lecture 108 List Updation - Mutable Lists
Lecture 109 Working with Del Command
Lecture 110 Membership Operators on List
Lecture 111 List Concatenation & Repetition
Lecture 112 Working with Nested List
Lecture 113 List Comprehension
Lecture 114 split() and join() methods
Lecture 115 List Packing & Unpacking
Section 12: Python Data Structures: Tuple
Lecture 116 Introduction to Tuple
Lecture 117 Indexing & Slicing on Tuple
Individuals new to programming seeking to learn from scratch.,Programmers transitioning to Python from other languages.,Intermediate Python developers aiming to enhance their skills.,Those interested in learning to code by building engaging and practical projects.,This course caters to both beginners and experienced programmers, providing tailored and comprehensive Python training.

Homepage

https://www.udemy.com/course/python_mastery/

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