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What you'll learn?
- Python
- Data Analysis
- Numpy
Course Overview
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.
Pre-requisites
- Basic Python
Target Audience
- All Level Student Can Learn
Curriculum 76 Lectures
-
Section 1 : Chapter 01
- Lecture 2 :
- 02 Introduction to Numpy
- Lecture 3 :
- 03 Numpy Environment Setup
- Lecture 4 :
- 04 Numpy Programming Example
-
Section 2 : Chapter 02
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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Instructor
500028 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.
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