Python Numpy Bootcamp | Learn Numpy Data Analysis

Learn Data Science | Data Analysis | Python Numpy Bootcamp | Learn Numpy Data Analysis

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Last Updated: 2023-10-11 06:10:32 English Course Type: Self Learning

Python
Data Analysis
Numpy

Python Numpy Bootcamp | Learn Numpy Data Analysis

In this comprehensive Numpy Python course for data analysis, instructed by Faisal Zamir, spanning over 6+ hours of content, you'll embark on a journey through the fundamentals of Numpy.

Chapter 01 provides a solid introduction to Numpy, covering the environment setup.

In Chapter 02, you'll dive into creating and accessing arrays, mastering indexing and slicing techniques, exploring array dimensions, and understanding the ndarray object and its data types, along with data type conversion.

Chapter 03 delves into array attributes, various methods of array creation, and working with existing data.

Chapter 04 explores broadcasting and array iteration, allowing you to update array values efficiently.

Chapter 05 is dedicated to array manipulation operations, including joining, transposing, splitting, and other essential array operations.

In Chapter 06, you'll explore Numpy's binary operators, such as bitwise_and, bitwise_or, invert, left_shift, and right_shift.

Chapter 07 introduces string, mathematical, and trigonometric functions.

Chapter 08 covers arithmetic operations like addition, subtraction, multiplication, division, and more, along with statistical and counting functions.

Chapter 09 is all about sorting, including functions like sort, argsort, lexsort, searchsorted, partition, and argpartition.

Finally, in Chapter 10, you'll learn about views and copies in Numpy. This course is your gateway to mastering Numpy for data analysis, equipping you with the essential tools and knowledge to excel in this field.

Basic Python

All Level Student Can Learn

Section 1 : Chapter 01 4 Lectures 00:00:00
Lecture 1 :
01 Numpy Chapter 01 Introduction Preview
Lecture 2 :
02 Introduction to Numpy
Lecture 3 :
03 Numpy Environment Setup
Lecture 4 :
04 Numpy Programming Example
Section 2 : Chapter 02 7 Lectures 00:00:00
Lecture 1 :
05 Numpy Chapter 02 Introduction
Lecture 2 :
06 Creating Array in Numpy
Lecture 3 :
07 Indexing and Slicing with Array
Lecture 4 :
08 ndarray Object in Numpy
Lecture 5 :
09 Data Types in Numpy Part 01
Lecture 6 :
10 Data Types in Numpy Part02
Lecture 7 :
11 Data Types Conversion in Numpy
Section 3 : Chapter 03 8 Lectures 00:00:00
Lecture 1 :
12 Numpy Chapter 03 Introduction
Lecture 2 :
13 Array Attributes
Lecture 3 :
14 Array vs ndarray Attributes
Lecture 4 :
15 Array Methods
Lecture 5 :
16 Empty Array Creation
Lecture 6 :
17 Zeros Array Creation
Lecture 7 :
18 Ones Creation Array
Lecture 8 :
19 Asarray Method in Numpy
Section 4 : Chapter 04 14 Lectures 00:00:00
Lecture 1 :
00 Numpy Chapter 04 Introduction
Lecture 2 :
01 Broadcasting and its Rule 01
Lecture 3 :
02 Broadcasting and its 02 and 03 Rules
Lecture 4 :
03 Frombuffer method in Array
Lecture 5 :
04 Fromiter method in Numpy
Lecture 6 :
05 Arange method in Numpy
Lecture 7 :
06 Linespace and logspace in Numpy
Lecture 8 :
07 For Loop Interations with Array
Lecture 9 :
08 nditer in Numpy
Lecture 10 :
09 ndenumerate in Numpy
Lecture 11 :
10 Fill Method for Updating Array
Lecture 12 :
11 Indexing and Slicing method to update
Lecture 13 :
12 Put Method to Update
Lecture 14 :
13 Boolean Indexing Method to Update
Section 5 : Chapter 05 9 Lectures 00:00:00
Lecture 1 :
01 Numpy Chapter 05 Introduction
Lecture 2 :
02 Reshape in Array Manipulation
Lecture 3 :
03 Flat in Array Manipulation
Lecture 4 :
04 Flatten in Array Manipulation
Lecture 5 :
05 ravel Method in Array Manipulation
Lecture 6 :
06 concatenate in Array Manipulation
Lecture 7 :
07 Transpose Operation in Numpy
Lecture 8 :
08 Split in Numpy Array
Lecture 9 :
09 More Operations on Numpy Array
Section 6 : Chapter 06 5 Lectures 00:00:00
Lecture 1 :
01 Numpy Chapter 06 Outlines
Lecture 2 :
02 Bitwise And Operator in Numpy
Lecture 3 :
03 Bitwise OR Operator working
Lecture 4 :
04 Bitwise NOT Operator working
Lecture 5 :
05 Bitwise Left and Right Shift
Section 7 : Chapter 07 7 Lectures 00:00:00
Lecture 1 :
01 Outline Numpy Chapter 07
Lecture 2 :
02 add and title in Array of String
Lecture 3 :
03 Lower and upper in Array of String
Lecture 4 :
04 Strip Split and Join in Array of String
Lecture 5 :
05 replace method in Array of String
Lecture 6 :
06 Trignometric in Array in Numpy
Lecture 7 :
07 Math in Array in Numpy
Section 8 : Chapter 08 4 Lectures 00:00:00
Lecture 1 :
01 Outline Numpy Chapter 08
Lecture 2 :
02 All Arithmetic Operations in Numpy
Lecture 3 :
03 Statistical Function in Numpy
Lecture 4 :
04 Counting function in Numpy
Section 9 : Chapter 09 13 Lectures 00:00:00
Lecture 1 :
01 Numpy Chapter 09
Lecture 2 :
02 Sort method in Numpy
Lecture 3 :
03 Argsort in Numpy
Lecture 4 :
04 Searchsorted in Numpy
Lecture 5 :
05 Partition in Numpy
Lecture 6 :
06 where and argwhere in Numpy
Lecture 7 :
07 searchsorted in Numpy
Lecture 8 :
08 nonzero in Numpy
Lecture 9 :
09 extract in Numpy
Lecture 10 :
10 Boolean Indexing in Numpy
Lecture 11 :
11 where filteration in Numpy
Lecture 12 :
12 extract filteration in Numpy
Lecture 13 :
13 compress in Numpy
Section 10 : Chapter 10 5 Lectures 00:00:00
Lecture 1 :
01 Numpy Chapter 10
Lecture 2 :
02 View in Numpy
Lecture 3 :
03 Methods to Create view in Numpy
Lecture 4 :
04 Copy in Numpy
Lecture 5 :
05 Create Copy in Numpy

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Faisal Zamir,

506136 Course Views

29 Courses

Hello, my name is Faisal Zamir and I am a Master of Computer Science with over 7 years of experience in teaching. I have a passion for teaching and have dedicated my career to educating students on various topics related to web designing, web development, and programming languages such as Python, PHP, JavaScript, C++, C#, and more. As an instructor, I believe in providing students with a comprehensive learning experience that goes beyond just theory. That's why I always provide programming examples, discussion (Q&A), quizzes, assignments, problems with solutions, exercises, and more to ensure that my students have a hands-on approach to learning. My courses are designed to provide students with lifetime access to all course materials and resources, as well as ongoing support. I am committed to helping my students achieve their goals, whether it's to improve their skills for personal or professional reasons. In addition to teaching, I have also worked on various projects in the field of computer science and have acquired practical experience in implementing programming concepts in real-world scenarios. I bring this experience into my teaching to provide my students with a practical and relevant education. Thank you for considering my courses and I look forward to helping you achieve your goals in the world of computer science.