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Dr. Gaurav Khandelwal

Gaurav is certified by Microsoft for Python Programming.

This is an updated course on python with latest version 3.9. We add new videos  frequently. You will learn the following in python-

  • Features of Python

  • Python Virtual Machine (PVM)

  • Frozen Binaries

  • Memory management in Python

  • Garbage collection in Python

  • Writing our first Python program

  • Executing a Python program

  • Getting help in Python

  • Reopening the Python program in IDLE

Read more

Gaurav is certified by Microsoft for Python Programming.

This is an updated course on python with latest version 3.9. We add new videos  frequently. You will learn the following in python-

  • Features of Python

  • Python Virtual Machine (PVM)

  • Frozen Binaries

  • Memory management in Python

  • Garbage collection in Python

  • Writing our first Python program

  • Executing a Python program

  • Getting help in Python

  • Reopening the Python program in IDLE

  • Comments in Python, Docstrings

  • How Python sees variables

  • Datatypes in Python

  • Sequences in Python

  • Sets in Python

  • Literals in Python

  • Determining the datatype of a variable

  • Characters in Python

  • User-defined datatypes

  • Constants in Python

  • Identifiers and Reserved words

  • Naming conventions in Python

  • Arithmetic operators

  • Using Python interpreter as calculator

  • Assignment operators

  • Unary minus operator

  • Relational operators

  • Logical operators

  • Boolean operators

  • Membership operators

  • Identity operators

  • Operator precedence and associativity

  • Mathematical functions

  • Output statements

  • Various formats of print()

  • Input statements

  • The built in argv[] list

  • Entering various elements from command prompt

  • Processing command line arguments

  • if statement

  • if … else statement

  • if … elif … else statement

  • while loop

  • for loop

  • Infinite loops

  • Nested loops

  • break statement

  • continue statement

  • pass statement

  • assert statement

  • return statement

  • Creating an array

  • Importing the array module

  • Indexing and slicing on arrays

  • Types of arrays

  • Working with arrays using numpy

  • Creating arrays using linspace

  • Creating arrays using logspace

  • Creating arrays using arange() function

  • Creating arrays using zeros() and ones() functions

  • Mathematical operations on arrays

  • Comparing arrays

  • Aliasing the arrays

  • Viewing and Copying arrays

  • Slicing and indexing in numpy arrays

  • Dimensions of arrays

  • Attributes of an array

  • reshape()

  • flatten()

  • Working with Multi dimensional arrays

  • The array() function

  • ones() and zeros() functions

  • eye() function

  • reshape() function

  • Indexing in multi dimensional arrays

  • Slicing the multi dimensional arrays

  • Matrices in numpy

  • Creating strings

  • Length of a string

  • Indexing in strings

  • Repeating the strings

  • Concatenation of strings

  • Checking membership

  • Comparing strings

  • Removing spaces from a string

  • Finding sub strings

  • Strings are immutable

  • Replacing a string with another string

  • Splitting and joining strings

  • Changing case of a string

  • Checking starting and ending of a string

  • String testing methods

  • Formatting the strings

  • Sorting strings

  • Defining a function

  • Calling a function

  • Returning results from a function

  • Returning multiple values from a function

  • Functions are first class objects

  • Pass by object reference

  • Formal and actual arguments

  • Positional arguments

  • keyword arguments

  • Default arguments

  • Variable length arguments

  • Local and global variables

  • The global keyword

  • Passing a group of elements to a function

  • Recursive functions

  • Function decorators

  • Generators

  • Structured programming

  • Creating our own modules in Python

  • The special variable name

  • Structured Programming

  • Creating our own modules in Python

  • The special variable name

  • Creating our own Package

  • Accessing the modules from the package

  • Creating lists using range() function

  • Updating the elements of a list

  • Concatenation of two lists

  • Repetition of lists

  • Membership in lists

  • Aliasing and cloning lists

  • Methods to process lists

  • Nested lists

  • List comprehensions

  • Tuples

  • Creating tuples

  • Accessing the tuple elements

  • Basic operations on tuples

  • Operations on dictionaries

  • Dictionary methods

  • Using for loop with dictionaries

  • Sorting the elements of a dictionary using lambdas

  • Converting lists into dictionary

  • Converting strings into dictionary

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What's inside

Learning objectives

  • Python core concepts in easy way in hindi
  • All concepts will be cleared in a lucid manner
  • Interview questions
  • Excellent tips
  • A to z about core python in depth
  • Best course in python
  • Python in hindi in easy way

Syllabus

In this video , you will learn-What is Python and where Python is used.

You will also see some great features of Python .


Read more

This lecture explains how can we install python on windows.

This quiz will contain 5 questions, check your skills

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses the Hindi language to explain Python, which can help non-English speakers grasp programming concepts more easily and lower the barrier to entry for those new to coding
Covers core Python concepts such as data types, operators, control statements, and functions, which are fundamental for building a strong foundation in programming
Includes practical examples and programs, such as checking for palindromes and printing grades, which reinforces learning through hands-on application of concepts
Explores advanced topics like recursion, decorators, and generator functions, which can help learners expand their knowledge beyond the basics and prepare for more complex programming tasks
Teaches about command line arguments, which is a useful skill for creating more versatile and interactive programs that can accept input from the user
Uses Python version 3.9, which is somewhat outdated, so learners may need to adapt their knowledge to newer versions of Python as they continue their studies

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Reviews summary

Python basics in hindi for beginners

According to learners, this course offers a clear and easy-to-understand introduction to Python basics, primarily taught in Hindi. Students appreciate the simplistic teaching approach and the instructor's ability to explain complex concepts effectively, making it particularly well-suited for absolute beginners and those from non-IT backgrounds. Reviewers frequently mention the practical examples and hands-on exercises as helpful for solidifying understanding. While the course covers core Python concepts comprehensively for a beginner level, some learners occasionally note areas that could be more in-depth or updated, but overall sentiment is overwhelmingly positive.
Course primarily taught in Hindi, which is a key feature.
"Being taught in Hindi made it so much easier for me to grasp the concepts quickly."
"Finally a good Python course explained clearly in Hindi!"
"If you prefer learning in Hindi, this course is the best option available."
"The use of Hindi simplifies technical jargon significantly."
Hands-on examples and practical problems help learning.
"Loved the practical examples and coding demonstrations provided in the lectures."
"The exercises given helped reinforce the concepts learned in the videos."
"Learning by doing with the instructor was the most effective part for me."
"Got to code along with the instructor, which was very beneficial."
Instructor's teaching style is praised by learners.
"The instructor is very knowledgeable and teaches in a very engaging way."
"Gaurav sir's teaching style is excellent, making learning Python enjoyable."
"He patiently explains everything step-by-step which is great for slow learners like me."
"The teacher makes sure you understand before moving on."
Excellent starting point for those new to Python.
"As a complete beginner, this course was exactly what I needed to start learning Python."
"Perfect course for anyone who is new to programming or has a non-IT background."
"It truly lives up to its name, 'Python for beginners'. Highly recommended for starters."
"I had no prior coding experience, but this course made Python accessible."
Concepts are explained clearly, especially for beginners.
"The instructor explains the concepts very clearly and in an easy-to-understand manner."
"This course is perfect for beginners. The explanations are very simple and make learning easy."
"I found the way the instructor breaks down topics to be exceptionally clear and helpful."
"Really appreciate the simplicity and clarity of the lectures."
Some topics could benefit from deeper coverage.
"While great for basics, some advanced topics could use more detailed explanation."
"Wish there were more examples covering real-world application scenarios."
"It's a solid foundation, but you'll need other resources for intermediate topics."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python in Easy Way in Hindi : Python for beginners 2024 with these activities:
Review Basic Programming Concepts
Strengthen your understanding of fundamental programming concepts like variables, data types, and control flow before diving into Python.
Browse courses on Programming Fundamentals
Show steps
  • Review notes from any prior programming courses.
  • Complete online quizzes on basic programming concepts.
  • Write simple programs using pseudocode or flowcharts.
Read 'Python Crash Course'
Supplement the course material with a well-regarded introductory Python book to reinforce learning.
Show steps
  • Read the first few chapters covering basic syntax and data structures.
  • Work through the example code and exercises in the book.
Solve Basic Python Exercises
Reinforce your understanding of Python syntax and data structures by solving coding exercises.
Show steps
  • Find a website with Python coding exercises for beginners.
  • Solve at least 5-10 exercises focusing on variables, loops, and functions.
  • Review solutions and understand any mistakes.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python Cheat Sheet
Consolidate your knowledge by creating a cheat sheet of Python syntax, functions, and concepts covered in the course.
Show steps
  • Review course materials and identify key concepts.
  • Organize the cheat sheet by topic (e.g., data types, loops, functions).
  • Include code examples and brief explanations for each concept.
Build a Simple Calculator
Apply your Python skills by building a simple calculator program that performs basic arithmetic operations.
Show steps
  • Plan the program's structure and user interface.
  • Write code to handle user input and perform calculations.
  • Test the calculator thoroughly and fix any bugs.
Dive into Python 3
Deepen your understanding of Python with a more advanced book that covers topics beyond the scope of the course.
View Dive Into Python 3 on Amazon
Show steps
  • Read chapters on topics that interest you or that you find challenging.
  • Experiment with the code examples and try to modify them.
Help Others in Online Forums
Solidify your understanding by helping other students with their Python questions in online forums.
Show steps
  • Find a Python forum or online community.
  • Browse the forum and answer questions from other learners.
  • Explain concepts clearly and provide helpful code examples.

Career center

Learners who complete Python in Easy Way in Hindi : Python for beginners 2024 will develop knowledge and skills that may be useful to these careers:
Python Developer
A Python developer specializes in building applications using the Python programming language. This 'Python in Easy Way in Hindi' course provides a thorough introduction to Python, covering fundamental concepts such as data types, operators, control flow, and functions. The course's detailed exploration of data structures like lists, tuples, and dictionaries, along with modules and packages, helps one to write clean, efficient, and well-organized Python code. Learning about Python's features from this course, such as memory management and garbage collection, helps improve your coding skills and problem-solving abilities.
Software Developer
A software developer designs, develops, and tests software applications. This 'Python in Easy Way in Hindi' course helps build a foundation in Python, a language frequently used in software development. The course covers core concepts like data types, operators, control statements, and functions, which are crucial for writing effective code. Exposure to topics like arrays, strings, and command line arguments makes the transition to more advanced software development concepts even smoother. The practical examples and lucid teaching manner of the course can be very helpful when beginning this career.
Backend Developer
A backend developer builds and maintains the server-side logic and databases that power web applications. This 'Python in Easy Way in Hindi' course will be extremely helpful in learning the fundamentals of Python, a popular language for backend development. The course covers essential concepts such as data structures, control flow, and functions, which are necessary for building robust and scalable backend systems. You can use this background to learn web frameworks such as Flask and Django. As well, you will find your experience with Python's memory management and garbage collection useful.
Data Analyst
A data analyst collects, cleans, and analyzes data to identify trends and insights. This 'Python in Easy Way in Hindi' course helps build a foundation for data analysis using Python. The course covers essential Python concepts such as data types, operators, and control flow. These help you manipulate and analyze data effectively. The introduction to NumPy for array manipulation is particularly valuable, as NumPy is widely used for numerical computations in data analysis. This course helps you start learning the fundamentals of coding in preparation for a career in data.
Automation Engineer
An automation engineer designs and implements automated systems and processes, often using scripting languages like Python. This 'Python in Easy Way in Hindi' course provides a solid introduction to Python fundamentals, including control flow, loops, and functions. These are essential for writing scripts to automate tasks. Moreover, the course covers command line arguments, which are super helpful for creating automation tools that can be run from the command line. Grasping these concepts allows an automation engineer to develop efficient and reliable automation solutions.
Quality Assurance Engineer
A quality assurance engineer tests software to ensure it meets quality standards. This 'Python in Easy Way in Hindi' course helps build a basis in Python, which is used for writing test scripts and automating testing processes. The course covers core concepts such as control flow, loops, and functions. These are useful for creating test cases and validating software functionality. Moreover, the course's introduction to data structures like lists and dictionaries helps them manage and manipulate test data efficiently.
Web Developer
A web developer creates and maintains websites and web applications. While this 'Python in Easy Way in Hindi' course does not cover web frameworks directly, it provides a solid foundation in Python, which is essential for backend web development. Understanding core Python concepts such as functions, modules, and data structures helps web developers build robust and scalable web applications using frameworks like Django or Flask. The knowledge of string manipulation, file handling, and other core Python features help you tackle various web development tasks effectively.
DevOps Engineer
A DevOps engineer focuses on automating and streamlining the software development lifecycle. This 'Python in Easy Way in Hindi' course may be useful, as Python is commonly used for scripting and automation in DevOps. The course's coverage of topics like command line arguments, control flow, and functions helps DevOps engineers write scripts to automate tasks such as server provisioning, application deployment, and monitoring. Furthermore, understanding Python's module system allows them to create reusable and maintainable automation code.
Data Scientist
A data scientist analyzes and interprets complex data to identify trends and insights. This 'Python in Easy Way in Hindi' course may be useful because Python is a primary tool in data science. The course's coverage of Python's basic syntax, data structures, and control flow helps one manipulate and analyze data effectively. Furthermore, the course's introduction to array manipulation using NumPy is particularly beneficial, as NumPy is a cornerstone of data analysis in Python. This course helps beginners to start learning the fundamentals of coding.
Scientific Programmer
A scientific programmer develops software for scientific research and simulations. This 'Python in Easy Way in Hindi' course may be useful, as Python is a popular language in scientific computing. The course's introduction to NumPy for array manipulation is particularly valuable, as NumPy is widely used for numerical computations and simulations. A strong foundation in Python programming helps you write code to analyze data, visualize results, and develop complex scientific models. If starting a career in science is compelling, this course may be a logical first step.
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models. While this 'Python in Easy Way in Hindi' course does not cover machine learning algorithms directly, it provides the Python foundation needed to learn those algorithms. The course's coverage of data structures, control flow, and functions helps you preprocess and manipulate data, which is a crucial step in machine learning. Gaining a strong understanding of Python fundamentals makes it easier to learn and use machine learning libraries like scikit-learn and TensorFlow.
Embedded Systems Engineer
An embedded systems engineer designs and develops software for embedded systems, such as those found in appliances and vehicles. This 'Python in Easy Way in Hindi' course may be useful, as Python can be used for scripting and testing in embedded systems development. The course's coverage of fundamental concepts like data types, operators, and control flow helps you write scripts to interact with hardware and perform system-level testing. The course helps you begin the journey towards embedded systems.
Robotics Engineer
A robotics engineer designs, builds, and programs robots. Python is often used in robotics for tasks such as robot control, data processing, and simulation, so this 'Python in Easy Way in Hindi' course may be useful. The course's coverage of fundamental concepts like data types, control flow, and functions helps you write code to control robot movements, process sensor data, and implement autonomous behaviors. The course helps you start to learn the fundamentals of Python, and apply these to robots.
Bioinformatician
A bioinformatician analyzes biological data using computational tools and techniques. This 'Python in Easy Way in Hindi' course may be useful because Python is frequently used in bioinformatics for tasks such as sequence analysis, data mining, and statistical modeling. The course covers concepts such as strings, lists, and dictionaries. Applying the knowledge taught in this course can help bioinformaticians process and analyze biological data more effectively. This course is a good first step in a long journey.
Game Developer
A game developer creates video games for various platforms. This 'Python in Easy Way in Hindi' course helps you start the process of learning the fundamentals of game development. While Python is not the primary language for high-performance game engines, it is used for scripting, prototyping, and creating game tools. The course's coverage of core concepts such as data structures, functions, and control flow helps one build game logic and create interactive experiences. Starting here can help you learn more advanced game programming concepts.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python in Easy Way in Hindi : Python for beginners 2024.
Provides a fast-paced introduction to Python that's perfect for beginners. It covers fundamental concepts like variables, data types, control flow, and functions, aligning well with the course syllabus. The project-based approach allows learners to apply their knowledge practically, reinforcing their understanding and building confidence. It's a great resource for hands-on learning and complements the course's objective of making Python accessible.
Offers a more in-depth exploration of Python 3, covering advanced topics and best practices. It's particularly useful for those who want to go beyond the basics and develop a deeper understanding of the language. While not strictly necessary for the course, it provides valuable context and expands on the concepts introduced.

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