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Deep Learning into Python with Numpy, Pandas and Matplotlib
Deep Learning into Python with Numpy, Pandas and Matplotlib

Deep Learning into Python with Numpy, Pandas and Matplotlib: Build Python foundations for numerical analysis, data work, and visualization

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Profile Icon Emenwa Global
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Mex$410.99
Video Jul 2026 16hrs 35mins 1st Edition
Video
Mex$410.99
Video + Subscription
Free Trial
Arrow left icon
Profile Icon Emenwa Global
Arrow right icon
Mex$410.99
Video Jul 2026 16hrs 35mins 1st Edition
Video
Mex$410.99
Video + Subscription
Free Trial
Video
Mex$410.99
Video + Subscription
Free Trial

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Key benefits

  • A beginner pathway from Python syntax and data structures to practical data science foundations
  • Integrated use of NumPy, Pandas, and Matplotlib for numerical work, analysis, and visualization
  • Broad programming practice covering files, exceptions, functions, iteration, and object design

Description

Python's data ecosystem supports numerical analysis, data preparation, and visual communication across many technical roles. Learners first establish programming fundamentals through syntax, variables, data types, collections, decisions, loops, functions, files, iterators, exceptions, and object-oriented programming. The focus then moves to NumPy for numerical structures and calculations, Pandas for Series, DataFrames, selection, cleaning, and analysis, and Matplotlib for plots and visual interpretation. Learners also practice sampling, preparation, and conversion among external files, CSV, TXT, and table formats, connecting code with structured data workflows. By the end of this course, learners can organize, inspect, transform, analyze, and visualize data with Python. They gain practical experience with the core beginner tools of the data ecosystem and a solid foundation for continued study in data analysis, data science, and machine learning.

Who is this book for?

Absolute beginners, aspiring Python developers, data-analysis learners, and students preparing for data science. No prior programming knowledge is required. Learners need a Windows, macOS, or Linux computer and should be prepared to install Anaconda.

What you will learn

  • Write Python syntax with core data structures
  • Use NumPy for numerical data operations
  • Analyze structured data with Pandas
  • Create plots and charts with Matplotlib
  • Apply loops, functions, files, and exceptions
  • Organize reusable programs with OOP

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Last updated date : Aug 03, 2026
Publication date : Jul 29, 2026
Length: 16hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781808655876
Vendor :
Anaconda
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Premium Subscription?

Subscribe today for full access to all titles. After checkout, you’ll receive an eBook credit that you can manually redeem on any title — including this one.
Product feature icon Access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon Weekly additions on emerging tech and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon A monthly credit and 50% off any future digital purchases.

Product Details

Last updated date : Aug 03, 2026
Publication date : Jul 29, 2026
Length: 16hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781808655876
Vendor :
Anaconda
Category :
Languages :
Concepts :
Tools :

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Table of Contents

26 Chapters
Getting Started With The Fundamentals of Python Programming Chevron down icon Chevron up icon
Strings In Python Programming Chevron down icon Chevron up icon
Operators In Python Programming Chevron down icon Chevron up icon
List In Python Programming Chevron down icon Chevron up icon
Tuple In Python Programming Chevron down icon Chevron up icon
Set In Python Programming Chevron down icon Chevron up icon
Dictionary In Python Programming Chevron down icon Chevron up icon
Decision Making Statements In Python Programming Chevron down icon Chevron up icon
Loop Systems In Python Programming Chevron down icon Chevron up icon
Functions, Lambda and Arrays Chevron down icon Chevron up icon
Iterators In Python Programming Chevron down icon Chevron up icon
File Handlings In Python Programming Chevron down icon Chevron up icon
Python Programming Concepts Chevron down icon Chevron up icon
String Formatting Chevron down icon Chevron up icon
Object Oriented Programming In Python (OOP) Chevron down icon Chevron up icon
Python Beginners/Sample Projects Chevron down icon Chevron up icon
How to detect Positive and Negative Numbers
How to check for Even and odd Numbers
How to check for Greatest of 3 Numbers
How to check for divisibility of a Number
How to convert from Celsius to Fahrenheit
How to convert from Fahrenheit to Celsius
How to create a simple Thermometer
How to calculate Mass, Density and Volume
How to determine the quadrant of a point
How to determine if a Triangle exist
How to check for Leap year
How to check if a point belongs to Circle
How to create quadratic Equation
How to make guess of Random number
How to print out the ASCII Table
How to create a Multiplication Table using while loop
How to create Multiplication Table using for loop
How to convert from base 2 to 9
How to build a simple Calculator
Number of digits in an Integer
How to get Sum and Product of digits
How to make a Binary search of number in an array
How to sum of N series of an element
How to get value of Even and Odd digits
How to get a Factorial using a while loop
How to get Factorial using for loop
How to create a Fibonacci Sequence
How to get the value of Fibonacci Element
How to get find the Greatest Common Divisor
How to maximum value of a floating point number
How to get Prime and Complex Numbers
Quadratic Equations with Solutions at specified Range of Coefficient
How to Reverse Numbers
How to expand Strings of Alphabet
How to Replace a Substring of a String
How to select Integers from String
How to sort words according to their length
How to find the longest word in a String
How to get Percentage of Uppercase and Lowercase
How to check for String Palindrome
How to generate Random numbers using Arrays
How to get the Maximum Element in an Array
How to get the Minimum Element in an Array
How to get the Number of Even and Odd numbers
How to get Positive numbers out of Negative Numbers
How to get numbers greater than the average of an Array
How to Replace list items with -1, 0, 1
How to check for File Extension
How to remove symbols from Text
How to get Intersection of list using for loop
Introduction to Python for Data Science Chevron down icon Chevron up icon
Python Libraries for Data Science Chevron down icon Chevron up icon
Operators in Python Programming Chevron down icon Chevron up icon
Strings in Python Programming Chevron down icon Chevron up icon
Decision Making Statements in Python Chevron down icon Chevron up icon
Loops and Functions in Python Chevron down icon Chevron up icon
List, Tuple, Set and Dictionary in Python Chevron down icon Chevron up icon
Sampling Data in Data Science Chevron down icon Chevron up icon
Data to CSV and TXT Formats Chevron down icon Chevron up icon
Data Preparation in Data Science Chevron down icon Chevron up icon
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