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Learn Python Programming: The no-nonsense, beginner’s guide to programming, data science, and web development with Python 3.7

Original price was: ₦64,386.00.Current price is: ₦56,518.00.

Description

About the Product 🔑

Feature ✨ Description 📝
Python Fundamentals 🐍 Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development.
Data Science Application 📊 Apply Python to data science with tools such as IPython and Jupyter.
Web Development 🌐 Utilize Python for building a real-world app using Django.
Beginner’s Guide 🌱 The no-nonsense, beginner’s guide to programming, data science, and web development.
Interactive Projects 🎮 Fully updated to include hands-on tutorials and projects.
Practical & Engaging 🤝 Introduces Python in a practical and engaging way.
Proficient in Python 💪 Become proficient in Python programming.
Insight into Tools 🛠️ Gain insight into data science tools like Jupyter.
Create Web Apps 🚀 Even create powerful web applications using Django.
Python Basics Coding 💻 Learn Python basics and start coding.

Product Benefits 💡

Benefit ✨ Detail 📝
Foundation Building 🧱 Learn the fundamentals of Python so that you have a rock-solid foundation to build upon.
Exploration of Concepts 🧭 Explore the foundations of Python programming and learn how Python can be manipulated to achieve results.
Programming Paradigms ⚙️ Explore different programming paradigms and find the best approach to a situation.
Performance Optimization ⚡ Understand how to carry out performance optimization and effective debugging.
Program Flow Control 🚦 Control the flow of a program.
Data Exchange 🔄 Utilize an interchange format to exchange data.
Security Understanding 🔒 Walk through cryptographic services in Python and understand secure tokens.
Thorough Understanding ✅ Get a thorough understanding of the Python language.
Writing Programs ✍️ Learn how to write programs.
Building Websites 🏗️ Learn how to build websites.
Working with Data 📈 Learn how to work with data by harnessing Python’s renowned data science libraries.
Real-World Projects 🌟 The book is filled with real-world examples and projects, covering various types of applications.
Project Construction 🔨 Concludes by building real-world projects based on the concepts you have learned.
Setup and Run 🚀 Get Python up and running on Windows, Mac, and Linux.
Coding Fundamentals 🧰 Explore fundamental concepts of coding using data structures and control flow.
Elegant Code Writing 📝 Write elegant, reusable, and efficient code in any situation.
Approach Understanding 🤔 Understand when to use the functional or OOP approach.
Security & Concurrency 🛡️ Cover the basics of security and concurrent/asynchronous programming.
Reliable Software 💯 Create bulletproof, reliable software by writing tests.
Website Building 🌐 Build a simple website in Django.
Data Handling 💾 Fetch, clean, and manipulate data.

How to Use 🛠️

  1. Step 1: 📚 Understand that this is a book for learning Python.
  2. Step 2: 📖 Apply the knowledge to data science, programming, and web development.
  3. Step 3: 🧑‍💻 Utilize the hands-on tutorials and projects for practical application.
  4. Step 4: 🚀 Build real-world apps using Django.


Ingredients 🧴

Ingredient ✨ Description 📝
Python Programming Language 🐍 Fundamentals applied to data science, programming, and web development.
IPython 📊 Tool for data science.
Jupyter Notebooks 💻 Tool for data science.
Django Framework 🏗️ Utilized for building real-world apps.
Interactive Tutorials 🎮 Hands-on projects for learning.

Product Details 🏷️

Detail ⚙️ Information ℹ️
Publisher 🏭 Packt Publishing
Publication Date 🗓️ June 29, 2018
Edition 📚 2nd ed.
Language 🗣️ English
Print Length 📖 508 pages
ISBN-10 🆔 1788996666
ISBN-13 🆔 978-1788996662
Item Weight ⚖️ 2.04 pounds
Dimensions 📏 7.5 x 1.15 x 9.25 inches
Best Sellers Rank 🏆 #199,786 in Books, #115 in Python Programming, #134 in Introductory & Beginning Programming, #166 in Software Development (Books)
Customer Reviews ⭐ 4.5 out of 5 stars – 166 ratings

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  • Versatile Applications: Adaptable to a wide range of tasks and environments.
  • Eco-Conscious Choice: Designed with sustainability in mind, reducing environmental impact.

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