हिन्दी में

NumPy File Operations and Data IO

Master NumPy File Operations—Load, Save & Transform Data Like a Pro!

4.3
Intermediate

Certificate of Completion

Complete this course and earn a verified certificate to showcase your achievement.

Verified & ShareableShare on LinkedIn, resume, or portfolio
QR Code VerificationEmployers can instantly verify online
Unique Certificate IDTamper-proof with unique serial number
Industry RecognisedAccepted by 500+ companies across India
Grow Up More
CERTIFICATE OF COMPLETION
This is to certify that
Your Name Here
has successfully completed
NumPy File Operations and Data IO
4 Modules

Course Curriculum

4 Modules · 9 Chapters · 9 Topics · 66 Sub-topics

01
Foundation
2 Chapters · 2 Topics · 11 Sub-topics
Introduction to NumPy
1 Topics
NumPy Fundamentals
5 Sub-topics
What is NumPy and Why Use It
Installing NumPy
Importing NumPy
NumPy vs Python Lists
Understanding ndarray Object
NumPy Array Fundamentals
1 Topics
Array Basics
6 Sub-topics
Creating 1D Arrays
Creating 2D Arrays
Creating 3D Arrays
Array Attributes - shape, size, ndim
Array Attributes - dtype and itemsize
Checking Array Type
02
Array Basics
2 Chapters · 2 Topics · 19 Sub-topics
Array Creation Methods
1 Topics
Array Creation Techniques
10 Sub-topics
Creating Arrays with np.array()
Creating Arrays with np.zeros()
Creating Arrays with np.ones()
Creating Arrays with np.empty()
Creating Arrays with np.full()
Creating Identity Matrices - np.eye() and np.identity()
Creating Arrays with np.arange()
Creating Arrays with np.linspace()
Creating Arrays with np.logspace()
Creating Arrays from Existing Data
Array Indexing and Slicing
1 Topics
Accessing Array Elements
9 Sub-topics
Basic Indexing in 1D Arrays
Basic Indexing in 2D Arrays
Basic Indexing in 3D Arrays
Negative Indexing
Slicing 1D Arrays
Slicing 2D Arrays - Rows and Columns
Slicing with Step Values
Slicing Multi-dimensional Arrays
Understanding Views vs Copies
03
File IO Operations
2 Chapters · 2 Topics · 15 Sub-topics
File IO Operations
1 Topics
Saving and Loading Arrays
8 Sub-topics
Saving Arrays - np.save()
Loading Arrays - np.load()
Saving Multiple Arrays - np.savez()
Saving Text Files - np.savetxt()
Loading Text Files - np.loadtxt()
Loading CSV Files - np.genfromtxt()
Handling Missing Data in Files
Binary File Operations
Structured Arrays
1 Topics
Working with Structured Data
7 Sub-topics
Understanding Structured Arrays
Creating Structured Arrays
Accessing Fields
Record Arrays
Nested Structured Arrays
Sorting Structured Arrays
Structured Array Operations
04
Data Handling
3 Chapters · 3 Topics · 21 Sub-topics
Advanced Indexing Part 1
1 Topics
Boolean and Integer Indexing
6 Sub-topics
Boolean Indexing Basics
Boolean Masks with Conditions
Multiple Boolean Conditions
Integer Array Indexing
Fancy Indexing with 1D Arrays
Fancy Indexing with 2D Arrays
Working with NaN and Inf
1 Topics
Handling Special Values
7 Sub-topics
Understanding NaN and Inf
Detecting NaN Values - np.isnan()
Detecting Inf Values - np.isinf()
NaN-aware Aggregations
Removing NaN Values
Filling NaN Values
NaN Propagation Rules
Sorting and Searching
1 Topics
Sorting and Finding Elements
8 Sub-topics
Sorting Arrays - np.sort()
Sorting Along Axis
Indirect Sorting - np.argsort()
Partial Sorting - np.partition()
Searching Arrays - np.searchsorted()
Finding Unique Elements
Finding Non-zero Elements
Finding Maximum and Minimum Indices

Student Reviews

0.0 (0 reviews)
0.0
Course Rating
5
0%
4
0%
3
0%
2
0%
1
0%

No reviews yet. Be the first to review this course!

Frequently Asked Questions

No FAQs for this course yet.

Preview this course
₹1,999 ₹2,999 33% OFF
Lifetime access to all materials
Certificate of completion
Available in multiple languages
Access on mobile & desktop
7-Day Money-Back Guarantee Not satisfied? Get a full refund within 7 days, no questions asked. Zero risk.

Start Your Journey Today

Join thousands of students already mastering new skills. Enroll now and get instant access.

Request Callback