Python Excel (Openpyxl) Programming With Coding Exercises
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 365.78 MB | Duration: 2h 46m

Automate Excel Tasks and Enhance Data Handling with Python's openpyxl

What you'll learn

How to use the openpyxl library to automate Excel tasks efficiently.

Techniques for creating, modifying, and formatting Excel files with Python.

Methods for automating data entry, calculations, and report generation.

Practical skills in handling complex Excel functions and integrating them with Python.

Requirements

Basic understanding of Python programming.

Familiarity with Excel and its basic functionalities.

Description

In today's data-driven world, the ability to efficiently handle and manipulate Excel files is crucial for professionals across various industries. Python Excel (openpyxl) Programming with Coding Exercises is a comprehensive course designed to teach you how to harness the power of Python's openpyxl library to automate Excel tasks and streamline data processing workflows. Whether you're a data analyst, financial professional, or a programmer, this course will equip you with the skills needed to automate repetitive tasks, handle large datasets, and generate reports dynamically.The need for this course arises from the widespread use of Excel in business environments and the growing demand for automation to save time and reduce errors. While Excel is a powerful tool, performing repetitive tasks manually can be time-consuming and prone to mistakes. By leveraging Python with openpyxl, you can automate processes such as data entry, report generation, and complex calculations, freeing up time for more strategic work.Throughout the course, you'll engage in hands-on coding exercises covering essential topics, including:Introduction to the openpyxl library and its functionalitiesCreating and manipulating Excel workbooks, sheets, and cellsAutomating data entry and calculationsFormatting Excel sheets, including styling cells, rows, and columnsHandling complex Excel functions and formulas with PythonReading and writing data from/to Excel filesGenerating dynamic reports with Python automationEach exercise is designed to build your proficiency in Python and Excel integration, preparing you to tackle real-world challenges with confidence.Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's deep understanding of Python programming and his practical approach to teaching ensure that you'll gain valuable skills that are immediately applicable in your professional work.30 Days Money-Back Guarantee: We are confident in the value this course provides, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund—no questions asked.Certificate at the End of the Course: Upon completing the course, you'll receive a certificate that validates your expertise in Python and Excel automation, making it a valuable addition to your professional credentials.

Overview

Section 1: Introduction to Openpyxl

Lecture 1 Introduction to Openpyxl

Lecture 2 Lesson 01

Lecture 3 Coding Exercises with Solutions

Section 2: Basic Cell Operations

Lecture 4 Basic Cell Operations

Lecture 5 Lesson 02

Lecture 6 Coding Exercises with Solutions

Section 3: Formatting Cells

Lecture 7 Formatting Cells

Lecture 8 Lesson 03

Lecture 9 Coding Exercises with Solutions

Section 4: Working with Formulas and Functions

Lecture 10 Working with Formulas and Functions

Lecture 11 Lesson 04

Lecture 12 Coding Exercises with Solutions

Section 5: Manipulating Data with Python

Lecture 13 Manipulating Data with Python

Lecture 14 Lesson 05

Lecture 15 Coding Exercises with Solutions

Section 6: Working with Charts

Lecture 16 Working with Charts

Lecture 17 Lesson 06

Lecture 18 Coding Exercises with Solutions

Section 7: Advanced Excel Operations

Lecture 19 Advanced Excel Operations

Lecture 20 Lesson 07

Lecture 21 Coding Exercises with Solutions

Section 8: Automating Excel Tasks

Lecture 22 Automating Excel Tasks

Lecture 23 Lesson 08

Lecture 24 Coding Exercises with Solutions

Section 9: Integrating Openpyxl with Other Libraries

Lecture 25 Integrating Openpyxl with Other Libraries

Lecture 26 Lesson 09

Lecture 27 Coding Exercises with Solutions

Section 10: Real-World Projects

Lecture 28 Real-World Projects

Lecture 29 Lesson 10

Lecture 30 Coding Exercises with Solutions

Data analysts and financial professionals looking to automate Excel tasks.,Python developers seeking to expand their skills in data manipulation.,Professionals who regularly work with Excel and want to improve their efficiency through automation.