Python For Beginners Masterclass course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.
Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search. Python is the number one language choice for machine learning, data science, and artificial intelligence.
What you'll learn
Have a fundamental understanding of the Python programming language.
Have the skills and understanding of Python.
Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
Add the Python Object-Oriented Programming (OOP) skills to your résumé.
Understand how to create your own Python programs.
Learn Python from experienced professional software developers.
How to develop powerful Python applications using one of the most powerful Integrated Development Environments on the market, IntelliJ IDEA! - Meaning you can code functional programs easier. IntelliJ has both a FREE and PAID version, and you can use either in this course. PyCharm will also work just fine.
All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you're coding and why - making programming easy to grasp and less frustrating
You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.
Requirements
A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for Windows.
Your enthusiasm to learn this go-to programming language. It's a valuable lifetime skill which you can't un-learn!
Everything else needed to start programming in Python is already included in the course.
Python topics covered in this course are
Introduction to Python
Installing PyCharm
Installing PyCharm Plugins
Installing VSCODE
Installing Atom
Python "Hello World"
Python Variables
Python Comments
Python Data Type
Python Capitalize Method
Python casefold Method
Python center Method
Python Count Method
Python endswith method
Python find method
Python isainum Method
Python isalpha Method
Python isdigit method
Python Islower Method
Python isprintible Method
Python isspace method
Python OR Operator
Python LIST
LIST append method
LIST insert method
LIST copy method
LIST count method
LIST extend method
LIST index method
LIST pop method
LIST remove method
LIST reverse method
LIST sort method
Python Dictionary
Dictionary clear method
Dictionary copy method
Dictionary get method
Dictionary items method
Dictionary Keys Method
Dictionary pop method
Dictionary popitem method
Dictionary SetDefault Method
Dictionary update method
Dictionary value method
Python conditional statement
Python nested conditional statement
Python shorthand conditional statement
Python While loop
While loop with break statement
While loop continue statement
While loop with else block
Python for loop
For loop with break statement
For loop with continue statement
For loop and range function
For loops custom starting point
For loop custom increment value
For loop with else block
For loop nested
Python class basic
Python class advanced
Class inheritance
Python console app development
Python abstract class
Introduction Turtle Module
Installing Turtle Module
Turtle Write
Turtle Reset
Turtle onclick
Turtle onrelease
Turtle ondrag
Turtle Textinput
Turtle SetWorldCoordinates
Turtle bgpic
Turtle Clone
Turtle Bye
Turtle undo
Turtle stamp
Turtle ClearStamps
Turtle Dot
Turtle Radians
Turtle Graphic-1
Turtle Graphic-2
Turtle Graphic-3
Turtle Graphic-4
Customizing Turtle
Turtle Backward Method
Turtle Right
Turtle Left
Turtle Shape
Turtle rectangle box
Turtle Begin fill
Turtle setposition
Turtle setx
Turtle sety
Turtle SetHeading
Turtle home
Turtle circle
Turtle Penup
Turtle ShowTurtle
Turtle Clear
Python Pandas Module
Python Pandas reading CSV
Python Pandas reading JSON
Python Pandas info method
Python Pandas cleaning empty cells
Pandas fix wrong data
Pandas removing duplicate data
Pandas Plotting data
Pandas plotting histogram
Pandas data correlation
Pandas key value pair
Pandas data frame
Pandas Dataf row
Python scope
Python global keyword
Python Module
Python Builtin Module
Python Date Module
Python usage with JSON
Python DICT to JSOON
Python LIST to JSON
Python Asyncio to JSON
Python Asyncio Module
Python base 64 Module
Python copy module shallowcopy
Python copy module deepcopy
Python hashlib module
Python RegEx Search Group
Python RegEx split method
Python RegEx sub method
Python RegEx search span
Python RegEx search string
Python Package Manager PIP
Python RegEx find all method
Python istitle Method
Python Isupper Method
Python Lower Method
Python istrip Method
Python replace method
Python rpartition method
Python rsplit method
Python split lines Method
Python startswith method
Python swapcase method
Python title method
Python Numbers
Python Arithmetic Operators
Python Assignment Operators
Python Logical Operators
Python Comparison Operators
Python Identity Operators
Python Membership Operators
Python Decimal to Binary Conversion
Python left shift operator
Python right shift operator
Python AND operator
Python XOR Operator
Python NOT Operator
Python TUPLE
TUPLE count method
TUPLE index method
Python SET
SET add method
SET clear Method
SET copy method
SET difference method
SET difference update method
SET discard method
SET Interaction method
SET intersection update method
SET isdisjoint method
SET issubset method
SET isupperset method
SET pop method
SET remove method
SET symmetric difference update method
SET symmetric difference method
SET union method
SET update method
Python conditional statement with AND/OR operators
Python function
Function arguments
Function arbitrary keyword arguments
Function datatype arguments
Function keyword arguments
Function pass statement
Function return statement
Function factorial
Function recursion
LAMBDA function
Python Array
Array accessing and slicing
Array changing elements
Array adding new elements
Array concatenation
Python NumPy
Installing NumPy
NumPy pareto distribution
NumPy Random zipf distribution
NumPy ufunc
NumPy ufunc function
NumPy ufunc add method
NumPy ufunc subtraction
NumPy ufunc multiply
NumPy ufunc divide
NumPy ufunc power
NumPy ufunc Mod
NumPy ufunc divmod
NumPy ufunc rounding decimal trunc
NumPy ufunc rounding decimal fix
NumPy ufunc rounding decimal floor cell
NumPy ufunc rounding decimal summation
NumPy ufunc product
NumPy ufunc prod
NumPy ufunc cumprod
NumPy ufunc diff
NumPy ufunc lcm
NumPy ufunc gcd
NumPy ufunc sin
NumPy ufunc deg2rad
NumPy ufunc arcsin
NumPy ufunc hypotenues
NumPy ufunc unique
NumPy ufunc intersectid
NumPy ufunc union1d
NumPy ufunc setdiff1d
NumPy ufunc setxorid
NumPy array
NumPy slicing array
NumPy copy
NumPy Shape attribute
NumPy reshape
NumPy looping array
NumPy nditer
NumPy concatenate
NumPy stack
NumPy vstack
NumPy hstack
NumPy dstack
NumPy array split
NumPy where
NumPy searchsorted
NumPy sort
NumPy random Pseudo
NumPy random distribution
NumPy permutation
Numpy Random Matplotlib Seaborn Package
Numpy Random Normal Distribution
Numpy Random binominal Distribution
Numpy Random poisson Distribution
Numpy Random uninform Distribution
Numpy Random logistic Distribution
Numpy Random binominal Distribution
Numpy Random multinominal Distribution
Numpy Random exponential Distribution
Numpy Random chi square Distribution
Numpy Random Rayleigh Distribution
Can I really learn Python from this course?
Yes you can. There are a range of exciting opportunities for Python developers all across the globe which requires a solid understanding of Python, and that's what you will learn in this course.
Will the course teach me data science, machine learning and artificial intelligence?
No, it won't do that – All of these topics are branches of Python programming. And all of them require a solid understanding of the Python language.
Nearly all courses on these topics assume that you understand Python, and without it you will quickly become lost and confused.
This course will give you that core, solid understanding of the Python programming language.
By the end of the course you will be ready to apply for Python programming positions as well as move on to specific areas of Python, as listed above.
Why should you take this course?
The very first reason why you should consider enrolling in this course is because of its simplicity and ease of learning as my goal is to make computer programming as easy as possible so that everyone can understand, thus learn it to enrich their career.
Will I update this course?
Yes I will. Technology is evolving and advancing at a rapid pace. New, more powerful hardware and software are being released every day, meaning it's crucial to stay on top with the latest knowledge.
A lot of other courses on Udemy get released once, and never get updated. Learning from an outdated course and/or an outdated version of Python can be counter productive and even worse it could teach you the wrong way to do things.
What if you have questions?
As if this course wasn't complete enough, I offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all).
This means you'll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you'll progress smoothly through this course without any major roadblocks.
Ready to get started, developer?
Enroll now and get started on your way to creative, advanced Python brilliance. Or, take this course for a free spin using the preview feature, so you know you're 100% certain this course is for you.
Screenshots

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