Learn Python from Basics to Production
- Description
- Curriculum
- FAQ
- Reviews
This course is for anyone who wants to learn python. I will cover the basic implementation of different functions and how to use them together to create solutions.
We will see different kinds of in-built functions, object-oriented programming, and how to solve different problems. We will not only learn python but problem-solving in the computational world too.
After going through this course you will be ready to jump into creating real-world projects.
I designed this course structure after finding a pattern among different students. These were a few things which were required in all fields. I combined, structured, and built this course to be a base foundation from where you can transition into any specific field. No matter if it’s data science, a simple job, academics or just for fun.
I started from very basic covering the idea behind the programming language. Then I explained each topic with their general life usage. I tried to explain the working of each bit. How to combine these tiny pieces of code and convert the result into a working model.
This course is enough to get you started in the world of programming. No matter if you are a programmer or not, this course will surely help you.
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1
Hello world with VS CodeLet's get started with coding in VS Code. VS code is a coding IDE (Integrated Development Environment) which means you can develop an entire application in it. It's pretty efficient because of embeded Terminal, vast exntensions and the UI. I use it to code all my projects. The other choices can be Pycharm, IDLE or simply notepad.
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2
Printing Basics
The Description how Print function works in Python.
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3
Printing Advance
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4
Variables in Python
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5
More about Numbers
Basic Arithmetic Operators in Python. Two special Operators.
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6
Understanding Floats
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7
Booleans in Python
What are Booleans? What kind of values do they store? How to use them?
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8
Common Errors and Comments
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9
Type Casting Data Type
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18
Handling User Inputs
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19
If-Else Statements
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20
And and Or Operator
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21
Check Palindrome String
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22
If-Else statements Nested
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23
Checking Advance Conditions - Fuzz Buzz
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24
Writing Conditionals in an Efficient way
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25
Creating an Email Validator
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26
Enhancing the Email Validator
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27
Practise Python Conditionals & Strings
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64
Functions Introduction
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65
Parameter passing in Functions
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66
Returning data from Functions
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67
Returning data from Functions - 2
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68
Returning data from Functions - 3
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69
Optional arguments in Functions
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70
*Args and **Kwargs
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71
Functions as first class citizens
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72
Nested Functions
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73
Namespaces
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74
O! Python Closures
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75
Python Generators
