Python is the Best Language you can Learn today!
You Can easily Land a Job that pays +$120,000
But, 90% of people get lost on their way
Why?
Cox, they lost focus.
So Here is The Complete Roadmap to Becoming a Professional Python Developer.
Here is the Simplest Data Analyst Path for Anyone
You will get:
✅What to Learn Each Day
✅Exact Lessons to become a DA
✅Technologies you need to Learn
✅Most Frequent Interview Ques
+ Full Python Course
You can get it for $10 today- Normal Price $130
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I know many have tried to learn programming languages but are stuck somewhere, and couldn't complete it.
Why is that?
What I found is, they lost their focus.
This is the reason, I want to show you a very clear path to learning python and becoming a professional Developer
👇
Here is how I have arranged it:
There are 5 Main Parts:
Part 1: Learn the Basics
Part 2: Data Structure
Part 3: Adv Topics
Part4: Frameworks
Part 5: Testing App
Under each Part, we have Lesson,
Under Lessons, we have Topics to Learn.
From this, you will know what you need to learn under a specific Lesson/Topic.
Let's Start. 👇
Part 1: Learn the Basics:
Lesson 1: Basic Syntax
→ No need ";" to separate the statements
→ Single-line comment begins with a hash (#) symbol
→ single quotes ('): String
→ double quotes ("): Another String
→ triple single quotes ('''): Multiple Line String
Lesson 2: Variables and Data Type:
Under Variable what you need to Learn:
→Variable Assignment
→Variable Types in Python
→Object References
→Object Identity
→Variable Names
Under Data Type, what you need to Learn:
→str
→int
→float
→list
→tuple
→range
→boolean
Lesson 3: Conditional Statements
What you need to Learn:
→ If
→ If condition
→ else condition
→ Nested if statement
→ Switch case
Lesson 4: Typecasting
Process of converting the value of one data type (integer, string, float, etc.) to another data type.
2 Types of conversions:
→ Implicit
→ Explicit
Lesson 5: Exceptions:
Python has many built-in exceptions that are raised when your program encounters an error
→try statement
→except
→else
→ finally
(Look at the Diagram in the 1st Tweet, you will know where you are now).
Lesson 6: Functions & Built-in Functions
A function is a reusable block of code
→ define a function with the "def" keyword
→Arguments in Functions
→Call a Functions
→Functions with Return
→Built-in Function Examples:
print()
property()
compile()
complex()
slice()
sorted()
Lesson 7: Lists
Lists are just like dynamic sized arrays
Learn:
→ Creating a List
→ Creating a list with multiple distinct or duplicate elements
→ Accessing elements from a List and multi-dimensional list
→ Negative indexing
→ Reversing a List
Lesson 8: Tuples
A collection of Python objects separated by commas.
Learn these:
→ Creating Tuples
→ Accessing Values
→ Concatenation
→ Nesting
→ Repetition
→ Slicing
→ Deleting
→ Finding the Length of a Tuple
→ Converting list to a Tuple
→ Tuples in a loop
Lesson 9: Sets
A Set is an unordered collection data type that is iterable, mutable and has no duplicate elements.
Learn these:
→ set() method
→Frozen Sets
→Internal working of Set
→ Methods for Sets
→ Clearing Python Sets
Lesson 10: Dictionaries
Dictionary is an ordered (since Py 3.7)collection of data values
Learn:
→Creating a Dictionary
→Adding elements to a Dictionary
→Accessing elements of a Dictionary
→Accessing an element of a nested dictionary
→Dictionary methods: clear(),copy()..
We have come to the end of Part 1: Learn the Basics.
This is a series,
In this series, you will get 5 parts (which I mentioned before).
In the Next Series, I will explain the Next Part
Part 2: Data Structures and Algorithms.
Now you are here.
If you don't want to wait,
Grab my "Data Analyst Roadmap for Anyone"
I have included the Complete Python Roadmap as a Bonus.
Today you can get it for $10. (Regular Price $130)
goldsuite.gumroad.com/l/glnjb/10only
That's a wrap!
If you enjoyed this thread:
1. Follow me @sharyph_ for more lessons like these.
2. RT the tweet below 👇 to share with others.
Thank you! twitter.com/sharyph_/status/1665265163962908673