Python Mastery: All Levels

From Beginner to Pro: Master Python Programming

What you'll learn

Python Basics with 20 + Practice Questions

Data Types with 20 + Practice Questions

Operators with 20 + Practice Questions

Control Flow with 20 + Practice Questions

Functions with 20 + Practice Questions

Basic Concepts with 20 + Practice Questions

OBJECT ORIENTED PROGRAMING (OOPS CONCEPT)

85+ PYTHON PROGRAMS

2 PAPER FOR STUDY

EACH PAPER CONTAINS MORE 200+ QUESTIONS

Requirements

No Prior Knowledge Needed: The course is designed for beginners, so you do not need any prior experience or knowledge in the subject.

Basic Computer Skills: You should be comfortable using a computer and navigating websites or applications.

Access to a Computer or Mobile Device: You will need a device with an internet connection to access course materials and participate in activities.

Willingness to Learn: An open mind and a desire to learn are the most important prerequisites.

For specific courses, you may need to install certain software or tools. Instructions will be provided.

Example: For a Python course, having Python installed or using an online platform like Google Colab is recommended.

Supportive Environment: It’s helpful to have a quiet space to study and practice, especially if the course involves hands-on activities.

Description

Welcome to PYTHON, an in-depth and hands-on learning experience designed to help you master. Whether you're a beginner looking to understand the basics or an advanced learner aiming to refine your skills, this course is built to meet you where you are.In this course, you'll dive into Python Programing, learning how to apply them effectively through real-world examples, practical exercises, and quizzes. The course is structured to offer clear, easy-to-follow instructions that allow you to work at your own pace, with each section designed to build on the last.You’ll start by understanding the fundamentals, such as basic concepts before moving on to more advanced topics. Along the way, you'll engage in activities that reinforce your learning and challenge you to think critically about how to use the knowledge in your own projects or work.Throughout the course, you'll have access to:Interactive lessons that combine video tutorials, readings, and hands-on assignmentsQuizzes and exercises that test your understanding and reinforce your learningDiscussion forums where you can connect with fellow students and ask questionsPersonalized feedback to help you improve your skills and stay on trackBy the end of this course, you'll have gained the knowledge and confidence to [outcome, e.g., "build your own projects," "apply advanced techniques," "pass industry certifications"]. Whether you're learning for personal development, career advancement, or to simply gain a new skill, this course will provide the tools you need to succeed.Join now, and take the next step towards mastering PYTHON!

Overview

Section 1: Book + Resources

Lecture 1 Book + Resources

Section 2: DOWNLOAD AND RUN PYTHON

Lecture 2 WATCH

Lecture 3 GUIDE TO DOWNLOAD AND INSTALL PYTHON

Lecture 4 WHY YOU SHOULD LEARN PYTHON

Section 3: BASIC IN PYTHON

Lecture 5 WATCH

Lecture 6 WATCH

Lecture 7 WATCH

Lecture 8 WATCH

Lecture 9 Variables in Python

Lecture 10 Constants in Python

Lecture 11 Comments in Python

Lecture 12 WATCH

Lecture 13 Input and Output in Python

Section 4: DATA TYPES IN PYTHON

Lecture 14 WATCH

Lecture 15 Numbers in Python: int, float, and complex

Lecture 16 WATCH

Lecture 17 Strings in Python

Lecture 18 WATCH

Lecture 19 Lists in Python

Lecture 20 WATCH

Lecture 21 Tuples in Python

Lecture 22 WATCH

Lecture 23 Sets in Python

Lecture 24 WATCH

Lecture 25 Dictionaries in Python

Lecture 26 Booleans in Python: Everything You Need to Know

Lecture 27 NoneType in Python: Everything You Need to Know

Section 5: OPERATORS IN PYHTON

Lecture 28 WATCH

Lecture 29 Arithmetic Operators in Python

Lecture 30 WATCH

Lecture 31 Relational (Comparison) Operators in Python

Lecture 32 WATCH

Lecture 33 Logical Operators in Python

Lecture 34 WATCH

Lecture 35 Assignment Operators in Python

Lecture 36 WATCH

Lecture 37 Bitwise Operators in Python

Lecture 38 WATCH

Lecture 39 Membership Operators in Python

Lecture 40 Identity Operators in Python

Section 6: CONTROL FLOW IN PYTHON

Lecture 41 WATCH

Lecture 42 If-Else Statements in Python

Lecture 43 WATCH

Lecture 44 WATCH

Lecture 45 Loops in Python

Lecture 46 WATCH

Lecture 47 WATCH

Lecture 48 Break, Continue, and Pass Statements in Python

Section 7: FUNCTIONS IN PYTHON

Lecture 49 WATCH

Lecture 50 Defining Functions in Python: Comprehensive Guide

Lecture 51 WATCH

Lecture 52 Functions and Arguments in Python

Lecture 53 WATCH

Lecture 54 WATCH

Section 8: BASIC CONCEPTS IN PYTHON

Lecture 55 WATCH

Lecture 56 WATCH

Lecture 57 Type Casting in Python

Lecture 58 String Formatting in Python

Lecture 59 List Comprehensions in Python

Lecture 60 Dictionary Comprehensions in Python

Lecture 61 WATCH

Lecture 62 WATCH

Lecture 63 WATCH

Lecture 64 Exception Handling in Python (try, except, finally)

Lecture 65 Python Standard Library: An In-Depth Guide

Section 9: MODULES & PACKAGES

Lecture 66 WATCH

Lecture 67 WATCH

Section 10: MODULES

Lecture 68 WATCH

Section 11: FILE MANUPLATION

Lecture 69 WATCH

Lecture 70 WATCH

Lecture 71 WATCH

Lecture 72 WATCH

Section 12: OOPS CONCEPT

Lecture 73 WATCH

Lecture 74 WATCH

Lecture 75 WATCH

Lecture 76 WATCH

Lecture 77 WATCH

Lecture 78 WATCH

Lecture 79 WATCH

Lecture 80 WATCH

Lecture 81 WATCH

Lecture 82 WATCH

Lecture 83 WATCH

Lecture 84 WATCH

Lecture 85 WATCH

Lecture 86 WATCH

Lecture 87 WATCH

Section 13: PROGRAMS

Lecture 88 SUM OF NUMBERS

Lecture 89 SQUARE ROOT OF NUMBERS

Lecture 90 SWAP 2 VARIABLES

Lecture 91 GENERATE RANDOM NUMBERS

Lecture 92 KILOMETER TO MILES

Lecture 93 CELSIUS TO FAHRENHEIT

Lecture 94 CHECK A NUMBER POSITIVE OR NEGATIVE

Lecture 95 NUMBER IS EVEN OR ODD

Lecture 96 LEAP YEAR IN PYTHON

Lecture 97 LARGEST AMONG 3 NUMBERS

Lecture 98 CHECK PRIME NUMBER

Lecture 99 FACTORIAL OF A NUMBER USING FOR LOOP

Lecture 100 FACTORIAL OF A NUMBER USING RECURSION

Lecture 101 MULTIPLICATION TABLE IN PYTHON

Lecture 102 FIBONACCI SERIES USING FOR LOOP

Lecture 103 FIBONACCI SERIES USING RECUSION

Lecture 104 CHECK ARMSTRONG NUMBER

Lecture 105 POWER OF 2 USING FOR LOOP

Lecture 106 POWER OF 2 USING ANONYMOUS AND MAP FUNCTION

Lecture 107 ADD LIST USING MAP FUNCTION

Lecture 108 FIND EVEN NUMBER IN LIST FILTER FUNCTION

Lecture 109 FIND NUMBERS DIVISIBLE BY ANOTHER NUMBER USING FILTER FUNCTION

Lecture 110 CONVERT DECIMAL TO BINARY_ OCTAL AND HEXADECIMAL IN PYTHON

Lecture 111 FIND ASCII VALUE OF CHARACTER IN PYTHON

Lecture 112 FIND HCF OR GCD USING LOOP IN PYTHON

Lecture 113 FIND HCF OR GCD USING EUCLIDEAN ALGORITHM

Lecture 114 FIND LCM USING WHILE LOOP IN PYTHON

Lecture 115 FIND LCM USING GCD IN PYTHON

Lecture 116 FIND FACTORS OF A NUMBER IN PYTHON

Lecture 117 MAKE A SIMPLE CALCULATOR IN PYTHON

Lecture 118 SHUFFLE DECK OF CARDS IN PYTHON

Lecture 119 DISPLAY CALENDAR IN PYTHON

Lecture 120 ADD TWO MATRICES IN PYTHON

Lecture 121 TRANSPOSE A MATRIX IN PYTHON

Lecture 122 MULTIPLY TWO MATRIX IN PYTHON

Lecture 123 CHECK WHETHER STRING IS PALINDROME OR NOT IN PYTHON

Lecture 124 SORT NUMBERS USING BUBBLE SORT IN PYTHON

Lecture 125 RIGHT TRIANGLE STAR PATTERN IN PYTHON

Lecture 126 INSERTION SORT ALGORITHM IN PYTHON

Lecture 127 PYRAMID STAR PATTERN IN PYTHON

Lecture 128 SORT NUMBERS USING SELECTION SORT IN PYTHON

Lecture 129 PRINT DIAMOND SHAPE STAR PATTERN IN PYTHON

Lecture 130 REMOVE PUNCTUATIONS FROM A STRING IN PYTHON

Lecture 131 SORT WORDS IN ALPHABETIC ORDER IN PYTHON

Lecture 132 SET OPERATIONS IN PYTHON

Lecture 133 COUNT NUMBER OF VOWELS IN STRING IN PYTHON

Lecture 134 MERGE MAILS IN PYTHON

Lecture 135 PRINT INVERTED HALF PYRAMID PATTERN IN PYTHON

Lecture 136 PRINT FLOYD_S TRIANGLE IN PYTHON

Lecture 137 MERGE TWO DICTIONARIES IN PYTHON

Lecture 138 SLICE LISTS IN PYTHON

Lecture 139 FLATTEN A NESTED LIST IN PYTHON (LIST COMPREHENSION)

Lecture 140 ITERATE OVER DICTIONARIES USING FOR LOOP IN PYTHON

Lecture 141 CHECK IF A LIST IS EMPTY IN PYTHON

Lecture 142 COPY CONTENT OF A FILE IN PYTHON

Lecture 143 CONCATENATE OR JOIN TWO LISTS IN PYTHON

Lecture 144 SPLIT LIST INTO EVENLY SIZED CHUNKS IN PYTHON

Lecture 145 CONVERT A STRING TO A FLOAT OR INT IN PYTHON

Lecture 146 GET A SUBSTRING OF A STRING IN PYTHON

Lecture 147 PRINT OUTPUT WITHOUT A NEWLINE IN PYTHON

Lecture 148 READ A FILE LINE BY LINE INTO A LIST IN PYTHON

Lecture 149 RANDOMLY SELECT AN ELEMENT FROM THE LIST IN PYTHON

Lecture 150 CHECK IF A STRING IS A FLOAT NUMBER IN PYTHON

Lecture 151 COUNT OCCURRENCE OF AN ITEM IN A LIST IN PYTHON

Lecture 152 APPEND TO A FILE IN PYTHON (FILE HANDLING)

Lecture 153 DELETE AN ELEMENT FROM A DICTIONARY IN PYTHON

Lecture 154 CREATE A LONG MULTILINE STRING IN PYTHON

Lecture 155 MEASURE ELAPSED TIME IN PYTHON IN PYTHON

Lecture 156 CONVERT TWO LISTS INTO A DICTIONARY IN PYTHON

Lecture 157 TRIM WHITESPACE FROM A STRING IN PYTHON

Lecture 158 GET THE FILE NAME FROM THE FILE PATH IN PYTHON

Lecture 159 HOW TO REPRESENT ENUM IN PYTHON

Lecture 160 RETURN MULTIPLE VALUES FROM A FUNCTION IN PYTHON

Lecture 161 GET LINE COUNT OF A FILE IN PYTHON

Lecture 162 FIND ALL FILES WITH .TXT EXTENSION PRESENT INSIDE A DIRECTORY IN PYTHON

Lecture 163 GET FILE CREATION AND MODIFICATION DATES IN PYTHON

Lecture 164 GET THE FULL PATH OF THE CURRENT WORKING DIRECTORY IN PYTHON

Lecture 165 ITERATE THROUGH TWO LISTS IN PARALLEL IN PYTHON

Lecture 166 CHECK THE FILE SIZE IN PYTHON

Lecture 167 REVERSE A NUMBER IN PYTHON

Lecture 168 COMPUTE THE POWER OF A NUMBER IN PYTHON

Lecture 169 COUNT THE NUMBER OF DIGITS PRESENT IN A NUMBER IN PYTHON

Lecture 170 CHECK IF TWO STRINGS ARE ANAGRAM IN PYTHON

Lecture 171 CAPITALIZE THE FIRST CHARACTER OF A STRING IN PYTHON

Lecture 172 COMPUTE ALL THE PERMUTATION OF THE STRING IN PYTHON

Lecture 173 CREATE A COUNTDOWN TIMER IN PYTHON

Lecture 174 COUNT NUMBER OF OCCURRENCE OF A CHARACTER IN STRING IN PYTHON

Lecture 175 REMOVE DUPLICATE ELEMENTS FROM A LIST IN PYTHON

Lecture 176 CONVERT BYTES TO A STRING IN PYTHON

Lecture 177 STRING SLICING EXAMPLES IN PYTHON

Section 14: PAPERS

This course is perfect for everyone, from children to adults.,Beginner-Friendly: Starts from the very basics, making it accessible to complete beginners with no prior knowledge.,Comprehensive Learning: Covers essential concepts and skills, ensuring a well-rounded understanding of the subject.,Suitable for All Ages: Tailored to meet the learning needs of individuals at any stage of life, whether you're a child, student, or adult.,Interactive & Engaging: Includes hands-on exercises, quizzes, and projects to make learning both fun and effective.,Accessible Anytime: Learn at your own pace, whenever and wherever you want, with online access to course materials.,Supportive Community: Join a thriving community of learners and get help from instructors and peers whenever you need it.,Real-World Application: Focuses on practical skills that can be applied in real-life scenarios, ensuring you’re job-ready or able to enhance your personal projects.,This course adapts to your learning needs, making it a perfect fit for anyone eager to start learning or grow their knowledge.