Python 4 You

Why should you take this course?

1. 400+ Unique Lectures

2. 35+ Hours of Video Content

3. Low Price but Splendid Course

4. Hundreds of Code Chunks

5. Unseen, Unique Examples

6. Regular Updates

7. Full Money Back Guarantee

8. 24/7 Message Support

If you find better course than this then message us and get this course 100% free! But it is a challenge for you that you can't find such a unique course at this price on any forum or site on the internet. So, watch the “Free Preview video lectures” for better understanding of the course material and get enrolled.

Indeed, Udemy is flooded with python courses, but this course covers the gaps that are left by others. The main focus of this course is that it covers every minor and major topic in the python language.

There is full 30 day money-back guarantee if you for some reason don’t want to continue with this course but this is never going to happen that you will leave as this is the well structured course and will engage you till you get your course completion certificate.

Python 4 you course includes tons of examples for Python programming. This is one of the most popular courses on Python programming on Udemy. You can build the skills that are required to get best programming job or get senior software developer position.

What would be the outcome after attending this course?

Whether you are a High School student learning the basics of Python or a Machine Learning enthusiast or a Data Analyst or a Programmer using python frameworks like DJango, Flask, CherryPy, PyCharm, this course will help you in mastering the art of Python. At the end of the course you’ll be able to apply for Python programming positions as well as move on to specific areas of Python, such as machine learning and artificial intelligence.

1. Get familiar with the Python

2. Learn to install Python

3. Learn the use of variables & know keywords and illegal variable names

4. Get basic knowledge of Python expressions

5. Work with input and output functions in Python

6. Get informed how to use operands

7. Use the different types of operators such as Identity, Membership, Logical, etc.

8. Execute your first python code

9. Learn data types such Int, Float, Complex

10. Work on Sets and dictionaries

11. Know advanced features of sequence types such as Strings, Lists, and Tuples

12. Understand the use of conditional statements such as If, If Else and Elif ladder

13. Define loop constructs such as While and For loop

14. Learn to create Range, and general python Functions

15. Pass Command line arguments to functions

16. Create and use Lambdas

17. Get know how to create Decorators, Iterators, and Generators

18. Learn Object Oriented Programming

19. Implement classes and know to create objects

20. Apply inheritance, polymorphism and encapsulation

21. Learn to cope up with Errors and Exceptions

22. Read and Write files

23. Deal with date and time with the help of date time module

24. Learn Python to be able to create your own Python apps quickly

25. Get started with Machine Learning, Data Science with solid foundation in Python programming.

26. Apply your Python knowledge

    
    

Who this course is for:

This course is aimed at complete beginners who have never programmed before. This course is best for you if you have limited programming experience and starting from zero programming skill as you will learn enough to write applications. It will also help expert developers to increase their knowledge. So this Udemy Course is suitable for anyone who wants to learn python from the beginning. This course is for:

• Beginners who are getting started with Python

• Intermediate level Developers who want to learn python readily

• Experienced programmers who want to fill in knowledge gaps

Does the course get updated?

Usually, most of courses on Udemy don’t get updated after release. But this course will continuously update.

What exactly you are going to learn?

Guido Van Rossum developed python and the promise of pythonanywhere is fulfilled well. We can automate the boring stuff with python such as automating emails and can do other things.

Python programming language is widely being used for finance, data analysis, data science, and deep learning. Indeed, this programming language is for everybody. With the help of this you can learn data science from scratch. People on the internet search best way to learn python or try to find best book to learn python but I assure you that this video tutorial is going to help you a lot.

You will learn in this video tutorial:

Variables Section:

In the variables section, you will learn the basic introduction to variables. You would be able to check if a keyword is a variable including complete list of keywords used in python. Illegal variable names, reserved words, object referencing, and information related to multiple words variable names is also included. We will swap two numbers with temp variable and without any third variable. In the end, you will know the complete summary and the meaning of lifetime of a variable.

Operators Section:

In Operators section, you will learn about basic tokens, operator symbols, expressions, and associativity of operators in python. Use of logical, identity, and membership operators along with assignment, relational, and comparison operators is also explained in this part of course. You will get light on arithmetic operations on operands too.

Data Types Sections:

This section includes many sections such as Integer section, float, complex,… and every section has multiple video lectures to elaborate the concept of data types used in python.

You will get familiar with integers, exponential numbers, integer operations, and use of scientific notation plus decimal numbers. In float part, get knowledge on floating point operations, python fractions, and float arithmetic. Also know how to create complex numbers with complex function and use of complex operations. Logic behind the complex numbers is also explained perfectly.

Strings section comprises the creation, concatenation, modification, and updating of string. Methods used to update and delete from strings is the key feature of this section. We will split a string using different slicing methods. You will get to know the indexing with positive and negative numbers. Use of steps in string slicing is also a part of this tutorial. You would be able to add, concatenate two strings and we will also check their similarity. We will work on finding a character from ascii number, and also convert any letter to ASCII number.

Learn to create, access, slice, delete, and reassign tuples. Tuple functions, operations, and methods is also the part of this section.

Sets also have a vital role in the data types used in python. Set iteration, methods, functions, and intersection of set is explained there.

Lists section includes the specifications of lists in python. How to create a list? Slicing lists with negative numbers, use of steps, and indexing is also included. How to add list items? Delete from and remove list items is also part of this section. Reverse ordering, case insensitivity, reassigning, and iterating lists in python are the key features of this part of tutorial. Find the largest and smallest item using built-in-functions.

Dictionaries are such types that have key value pairs that contain data. You can remove an element from dictionary. Python dictionary comprehensions explain creation of dict. Aliasing, copying, use of dictionaries in pythons is also mentioned in this module. You can learn how to unpack elements from it.

Data type conversion:

Data type conversion has two types: implicit conversion and explicit conversion. Learn about type casting. Binary, octal, hexadecimal conversion is also elaborated. Check type equality and convert decimal to binary.

Conditional statements:

Conditional statements comprise If Else Elif statements. Conditional statements are unary or binary selections. You will learn truthy and falsy statements along with multiple statements. We will also perform multiple tests with the use of conditions and logical operations such as AND, OR, NOT. Programs to calculate leap year, factorial, prime number, and even odd are also explained. In switch case, get introduction to switches using a class and a dictionary.

Loops:

This section covers for and while loops in python. Python 4 you video course will introduce you to the creation of these loop structures. You can learn to use break, continue, and pass statement in loops. Know about iteration and sorting with for loop and while loop. Also learn the difference between for and while loops.

Collections:

Counters:

This module contains Collections.UserList, and Collections. UserString. Counters creation, use, accessing, and updating is the key feature of this portion. Updating counter and reassigning counts is nicely exemplified. Get most common values and understand the use of elements() while counting. You can also append counters along with arithmetic.

Ordered Dict:

How ordered dictionaries are different from regular dictionaries? How to create Ordered Dict? Know the use of move_to_end, popitem method in OrderedDict.

Default Dictionary:

Get familiar with default factory function, __missing__() method, and benefits of Default Dict. How to use list and int as default factory? Get complete information on the creation and use of default dictionaries.

Named Tuples:

Are you familiar with named tuples? If not, then no need to worry as this section will highlight the creation, use, benefits, and working of named tuples. You will be introduced to access and conversion operations on NamedTuples. _fields and _field methods are also in this section of python tutorial.

ChainMap:

If you want to encapsulate multiple dictionaries in one unit, then use chainmap. New_child and reversed methods are also used in chainmaps and you will get to know how to use these in chain maps.

Deque:

You can add or delete elements from both ends in a deque. This section explains how to reverse and rotate a deque. How to use extend, extendleft, and rotate methods.

Functions:

How to apply built in functions? What are lamdas, range, and recursion. How to create functions? Learn all about function there. IPO notation, and composition of functions is also elaborated. Watch the creation of function with keyword arguments, default, and arbitrary arguments. Higher order functions such as map, reduce, filter, and sorted in python are also part of this section.

Classes & Objects:

Define a class and create an object. Understand the concepts of init function, self parameter, public, private, and protected class.

Iterators:

What is an iterator? How to loop through an iterator using iter ( ) and next( ) methods? What is the relationship between generators and iterators? Get the answers to all these questions.

Decorators:

How to decorate your code with the help of pie syntax and chaining decorators? Learn about general purpose decorator and reusing decorators.

Differences:

In this section you will know the difference between docstrings and comments; generators vs iterators; list vs tuple vs dictionary; return statement vs print statement; Generators vs normal functions, and much more.

Docstrings:

They are used to document a program code. Get understanding of docstrings for functions, classes, and python module.

Modules:

Math Module: Learn basic methods that are used in the math module. Also learn to import modules.

More Lectures will be added! Stay tuned!

What if you have questions?

You will get full support even after the enrollment in to this course. All your questions will be answered on first priority basis. Because I am here to just serve you.

Are you ready?

Enrol now using the “Add to Cart” button on the right. There is a 100% refund for you in case of any inconvenience.