Learn Python With Me Course | i-Sapna.com

Learn Python with me is our Python tutorial series that focuses on everything about the Python programming language, from its fundamentals to the most advanced topics. This course is helpful for beginners as well as experts in the programming arena.

We will try exploring each and every bit of Python in our blog, and please find below the list of Python Chapters. We have also included videos in each topic to help you learn the Python programming language quickly.

• Chapter 1: Python Introduction
• Chapter 2: Install Python and Run First Python Program
• Chapter 3: Python Variables and Datatypes
• Chapter 4: Python Comments, Literals, Constants, Docstrings
• Chapter 5: Python Identifiers, Reserved Words, Python Naming Convention
• Chapter 6: Python Operators
• Chapter 7: Python Operators Precedence
• Chapter 8: Python Mathematical Functions
• Chapter 9: Python Input and Output
• Chapter 10: Python Command Line Arguments
• Chapter 11: Python Control Statements
• Chapter 12: Python Interview Question Programs
• Chapter 13: Python Arrays
• Chapter 14: Python Multi-Dimensional Arrays
• Chapter 15: Python Strings – Part 1
• Chapter 16: Python Strings – Part 2
• Chapter 17: Python Strings – Part 3
• Chapter 18: Python Strings – Part 4
• Chapter 19: Python Functions
• Chapter 20: Python Pass by Object Reference
• Chapter 21: Python Formal and Actual Arguments
• Chapter 22: Python Local and Global Variables
• Chapter 23: How to pass a Group of elements to Python Function?
• Chapter 24: Python Recursive Functions
• Chapter 25: Python Anonymous Functions or Lambda Functions
• Chapter 26: Generators in Python
• Chapter 27: Decorators in Python
• Chapter 28: Create Python Modules
• Chapter 29: if __name__ == ‘__main__’
• Chapter 30: Python Lists – Create, Append, Update and Delete
• Chapter 31: Python Lists – Concatenate, Repeat, Aliasing, Cloning, Membership
• Chapter 32: Python List Methods to work with
• Chapter 33: Exciting things you can do on Python Lists
• Chapter 34: Nested Lists in Python
• Chapter 35: Python List Comprehension
• Chapter 36: Python Tuples
• Chapter 37: Nested Tuples
• Chapter 38: Python Tuples Immutable?
• Chapter 39: OOPS in Python (Object-Oriented Programming in Python)
• Chapter 40: Python Classes
• Chapter 41: Python Variables Types
• Chapter 42: Python Methods Types
• Chapter 43: Pass members of one class to another class
• Chapter 44: Inheritance in Python
• Chapter 45: Types of Inheritances in Python
• Chapter 46: Polymorphism in Python
• Chapter 47: Abstract Class and Abstract Method
• Chapter 48: Interfaces in Python
• Chapter 49: Encapsulation in Python
• Chapter 50: Errors and Exceptions in Python
• Chapter 51: Exception Handling in Python (Also includes info on ‘assert’ statement)
• Chapter 52: Types of Exceptions in Python
• Chapter 53: User-defined exceptions in Python
• Chapter 54: Log Exceptions in Python
• Chapter 55: Files in Python
• Chapter 56: Pickle in Python
• Chapter 57: Seek() and Tell() methods to work with Binary files in Python
• Chapter 58: Additional File Operations in Python
• Chapter 59: Regular Expressions in Python
• Chapter 60: Date and Time in Python
• Chapter 61: Threads in Python
• Chapter 62: Creating Threads in Python
• Chapter 63: Single Tasking and Multitasking using Python Threads
• Chapter 64: Python Thread Synchronization using Locks and Semaphores
• Chapter 65: Deadlock of Threads in Python
• Chapter 66: Python Thread Communication
• Chapter 67: Daemon Threads in Python
• Chapter 68: Networking in Python – Part 1
• Chapter 69: Networking in Python – Part 2

Why Learn Python?

All thanks to the easy programming in Python, it is gaining much popularity across the world. If you still have doubts about learning Python, please be informed that it is used by big tech giants such as Netflix, Spotify, Dropbox, Google, etc.

Python is also helpful in working with analytics and creating striking graphical representations of the data. If you are someone who has aspirations on Datascience, you won’t regret learning Python. It also comes with a fantastic collection of libraries like NumPy and matplotlib, using which you can do wonders. Since it is also popular and extensively supported, you can find answers to your Python queries on several forums.

Python in IoT Programming and Machine Learning

• For those of you who don’t know about IoT – Internet of Things, it is the next most significant thing that will make the world a better place. It’s all about the devices or interfaces interacting with each other without needing human-to-human or human-to-computer dealings.
• Machine Learning is a division of Computer Science and Artificial Intelligence that deals with the data and algorithms that will grant the ability to the devices and programs to learn from their practices and improve themselves without relying on much code.

Python coding is the top choice that supports both Internet of Things and Machine Learning.

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