Python 3 – Company preparation – Volume 1

Python 3 – Company preparation – Volume 1, available at $19.99, has an average rating of 4.3, with 337 lectures, based on 14 reviews, and has 4373 subscribers.

You will learn about You will be learning the basic of python and its usage with practical examples. Will learn to build logics and patterns Even interview questions will be solved to give you an idea of different ways of solving. Specially targated the modules like csv , json , xml to give you good understanding of its usage in companies. This course is ideal for individuals who are Anyone looking to Learn Python Language or Anyone looking to Learn to build logics or Anyone looking to crack Python Interviews or Anyone looking to get Python Certification or Anyone looking to understand the usage of python in companies or Anyone to get perfection on day to day coding requirements on Python Concepts It is particularly useful for Anyone looking to Learn Python Language or Anyone looking to Learn to build logics or Anyone looking to crack Python Interviews or Anyone looking to get Python Certification or Anyone looking to understand the usage of python in companies or Anyone to get perfection on day to day coding requirements on Python Concepts.

Enroll now: Python 3 – Company preparation – Volume 1

Summary

Title: Python 3 – Company preparation – Volume 1

Price: $19.99

Average Rating: 4.3

Number of Lectures: 337

Number of Published Lectures: 337

Number of Curriculum Items: 337

Number of Published Curriculum Objects: 337

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

You will be learning the basic of python and its usage with practical examples.
Will learn to build logics and patterns
Even interview questions will be solved to give you an idea of different ways of solving.
Specially targated the modules like csv , json , xml to give you good understanding of its usage in companies.

Who Should Attend

Anyone looking to Learn Python Language
Anyone looking to Learn to build logics
Anyone looking to crack Python Interviews
Anyone looking to get Python Certification
Anyone looking to understand the usage of python in companies
Anyone to get perfection on day to day coding requirements on Python Concepts

Target Audiences

Anyone looking to Learn Python Language
Anyone looking to Learn to build logics
Anyone looking to crack Python Interviews
Anyone looking to get Python Certification
Anyone looking to understand the usage of python in companies
Anyone to get perfection on day to day coding requirements on Python Concepts

This is the most comprehensive, yet straight-forward, course for the programmers / newbies on Udemy!

This course is specially designed by taking all scenarios into consideration from programmer point of view

Here I tried my best to give you good understanding on topic which programmer should be knowing at the earliest.

Even covered topic such as csv , Json , xml from company point of view.

If you are attending for an Interview – sure shot one question will be their from pattern printing. Just to check how much logically you are able to think. I covered such topics as well

Following are the list of topic will be covered as a part of this course.

01. What you will learn in this course

02. Work Setup

03. Introduction to Python

04. Declaring variables

05. Operators

06. Decision making

07. Loops

08. Strings

09. Data structure – List

10. Data structure – Tuple

11. Data structure – Set

12. Data structure – Dictionary

13. Function

14. Lets build logic 1

15. Lets build logic 2

16. Lets build logic 3

17. Lets build logic 4

18. Lets build logic 5

19. Lets build logic 6

20. Patterns

21. csv and Json

22. xml

23. pickle

24. Next Plan

Hope this course will help you to build logics and crack the interviews 🙂

Course Curriculum

Chapter 1: Introduction

Lecture 1: What you will learn in this course

Chapter 2: Work Setup

Lecture 1: Code editor

Lecture 2: Code editor component overview

Chapter 3: Introduction to Python

Lecture 1: What is Python

Lecture 2: Features of Python

Lecture 3: Where can we use Python

Lecture 4: Limitations of Python

Lecture 5: Versions of Python

Chapter 4: Declaring variables

Lecture 1: Variables

Chapter 5: Operators

Lecture 1: Membership operators

Lecture 2: Arithmetic operators

Lecture 3: Comparison operators

Lecture 4: Logical operators

Lecture 5: Assignment operators

Lecture 6: Identity operators

Lecture 7: Bitwise operator – AND

Lecture 8: Bitwise operator – OR

Lecture 9: Bitwise operator – NOT

Lecture 10: Bitwise operator – XOR

Lecture 11: Bitwise operator – Right Shift

Lecture 12: Bitwise operator – Left Shift

Chapter 6: Decision making

Lecture 1: Topics of Decision making

Lecture 2: If else

Lecture 3: If elif

Lecture 4: Nested if

Chapter 7: Loops

Lecture 1: Types of Loops

Lecture 2: While Loop

Lecture 3: For Loop

Lecture 4: Difference between While Loop and For Loop

Chapter 8: Strings

Lecture 1: Topics of String

Lecture 2: What is String and Declaring String

Lecture 3: Access characters in String and String Operations

Lecture 4: Iterating through String

Lecture 5: String Membership

Lecture 6: Raw String

Lecture 7: String format

Lecture 8: Single / Double / Triple quote

Lecture 9: String methods 1

Lecture 10: String methods 2

Lecture 11: String methods 3

Lecture 12: String methods 4

Lecture 13: String methods 5

Chapter 9: Data structure – List

Lecture 1: What is List ?

Lecture 2: Creation of List

Lecture 3: Access List element

Lecture 4: Mathematical operations

Lecture 5: Equality operations

Lecture 6: Relational operations

Lecture 7: Membership operations

Lecture 8: List Methods part 1

Lecture 9: List Methods part 2

Lecture 10: List Methods part 3

Lecture 11: reverse and reversed

Lecture 12: sort and sorted

Lecture 13: append and extend

Lecture 14: Cloning

Lecture 15: Aliasing

Lecture 16: Nested list

Lecture 17: List comprehension

Lecture 18: Zip

Chapter 10: Data structure – Tuple

Lecture 1: Topics of Tuple

Lecture 2: What is Tuple

Lecture 3: Access elements of Tuple

Lecture 4: Mathematical operations on Tuple

Lecture 5: Equality operations on Tuple

Lecture 6: Relational operations on Tuple

Lecture 7: Membership operations on Tuple

Lecture 8: Reversing on Tuple

Lecture 9: Sorting on Tuple

Lecture 10: Packing and Unpacking on Tuple

Lecture 11: Tuple comprehension

Lecture 12: Where to use Tuple

Lecture 13: Methods of Tuple

Lecture 14: Tuple within Tuple

Lecture 15: Iterate through Tuple

Lecture 16: Tuple with Anonymous function

Lecture 17: Zip

Chapter 11: Data structure – Set

Lecture 1: Topics of Set

Lecture 2: What is Set

Lecture 3: How to create Set

Lecture 4: Modify Set

Lecture 5: Set Methods 1

Lecture 6: Set Methods 2

Lecture 7: Set Methods 3

Lecture 8: Set operations 1

Lecture 9: Set operations 2

Lecture 10: Set operations 3

Chapter 12: Data structure – Dictionary

Lecture 1: Topics of Dictionary

Instructors

Learn Coding
A programmer who love to code complex problems

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2 stars: 1 votes
3 stars: 2 votes
4 stars: 3 votes
5 stars: 8 votes

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