Become a Professional Python Programmer
Become a Professional Python Programmer, available at $59.99, has an average rating of 4.05, with 339 lectures, based on 1687 reviews, and has 14377 subscribers.
You will learn about Understand and implement basic Python code Create and run a real-world Python program Access and parse the web with Python Manage a database and remote server Run code via a VPS Create a website with Python Visualize multiple forms of both 2D and 3D graphs, like line graphs, scatter plots, bar charts, and more Load data from files or from internet sources for data visualization. Load data from files or from internet sources for data visualization Customize graphs, modifying colors, lines, fonts, and more Visualize Geographical data on maps Input and output data from a variety of data types Visualize,combine and manipulate dataset Develop in the real world using Python Django Create Django web applications to solve a multitude of problems or needs This course is ideal for individuals who are Programmers or Python developers or People who want to create web applications or People who want to learn programming or People interested in Python databases or People seeking to learn a variety of ways to visually display data or People who seek to gain a deep understanding of options for visualizing data. or People looking for methods to normalize the handling of multiple data types and databases It is particularly useful for Programmers or Python developers or People who want to create web applications or People who want to learn programming or People interested in Python databases or People seeking to learn a variety of ways to visually display data or People who seek to gain a deep understanding of options for visualizing data. or People looking for methods to normalize the handling of multiple data types and databases.
Enroll now: Become a Professional Python Programmer
Summary
Title: Become a Professional Python Programmer
Price: $59.99
Average Rating: 4.05
Number of Lectures: 339
Number of Published Lectures: 337
Number of Curriculum Items: 339
Number of Published Curriculum Objects: 337
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand and implement basic Python code
- Create and run a real-world Python program
- Access and parse the web with Python
- Manage a database and remote server
- Run code via a VPS
- Create a website with Python
- Visualize multiple forms of both 2D and 3D graphs, like line graphs, scatter plots, bar charts, and more
- Load data from files or from internet sources for data visualization.
- Load data from files or from internet sources for data visualization
- Customize graphs, modifying colors, lines, fonts, and more
- Visualize Geographical data on maps
- Input and output data from a variety of data types
- Visualize,combine and manipulate dataset
- Develop in the real world using Python Django
- Create Django web applications to solve a multitude of problems or needs
Who Should Attend
- Programmers
- Python developers
- People who want to create web applications
- People who want to learn programming
- People interested in Python databases
- People seeking to learn a variety of ways to visually display data
- People who seek to gain a deep understanding of options for visualizing data.
- People looking for methods to normalize the handling of multiple data types and databases
Target Audiences
- Programmers
- Python developers
- People who want to create web applications
- People who want to learn programming
- People interested in Python databases
- People seeking to learn a variety of ways to visually display data
- People who seek to gain a deep understanding of options for visualizing data.
- People looking for methods to normalize the handling of multiple data types and databases
Python programming is one of the most demanded skill sets in today’s job market, and for good reason. Python allows you to do just about anything you can think of; web development, data analytics, game development – even controlling robots!
This Python Programming Professional Bundle is designed to get you up to speed with all the major Python skills you need right now. Learn on your own time and at your own pace, just be sure to learn this stuff.
What Can You Learn?
Python Programming for Beginners:If your knowledge of Python and programming is limited – or even non-existent – then this course is the perfect starting point for you. You’ll be guided through the installation process and the various features and functions of Python, and then you’ll put your knew found knowledge to practical use by solving ‘real life’ programming problems. Ideal for both programming beginners or experienced programmers new to Python.
Python Web Programming:Python is one of the most concise and easily understood programming languages out there, and one of its most popular applications is the web. This is the definitive python web programming course, designed for programmers, web developers, app creators, and anyone who wants to become ‘code literate’. Not only will you acquire an in-depth understanding of the programming language and its application for the web, you’ll get hands-on experience building programs too.
Python Game Development: Create a Flappy Bird Clone:As well as web development, data visualisation and analysis, and a host of other applications, Python is a programming language perfectly suited to game development. With this course, you’ll learn the easy way. Rather than working through hours of lectures and exercises, you’ll literally create a game as you go. Who said picking up new skills can’t be fun?
Data Visualisation with Python and Matplotlib:Companies are finally waking up to the benefits that big data and data analysis can have for their business. However, the majority of them lack the know-how to turn this data into something easily understood, readable, and presentable. That’s where data visualisation comes in. Using Python in conjunction with Matplotlib, you can create just about any 2D or 3D graphs, bar charts, scatter plots, and more.
Data Analysis with Python and Pandas:Data analysis is one of the most sought-after skills from the biggest companies in the world, and guesses what? Python can be used to do it. Working with Pandas, you’ll learn how to import and export data in a wide variety of forms, and organise and manipulate it into whatever way you need. Combined with our Data Visualisation with Python course below, it’s all your need to become a genuine data guru.
Learn Python Django from Scratch:If you already have some experience with Python, web development or both, then this is the perfect course to take your expertise to the next level. Working in conjunction with Django you’ll create a website from scratch featuring map integration, e-commerce functionality and a host of other complex features. Master this skillset, and you’ll be all set to take the web by storm with database-driven yet simple and beautiful sites.
Go Where the Money is
Companies such as Google, Yahoo!, Disney, Nokia, and IBM all use Python. In fact, among programming languages, Python had the largest year-on-year job demand growth — at 19% — as of March 2013. This growth has been increasing ever since. Notably, the overall hiring demand for IT professionals dipped year over year by 5% as of January 2014, except for Python programmers which increased by 8.7%. In New York, Python developers ranked #8 of the most in-demand tech workers, making an average of $106k/year. On the other side of the Atlantic, Python programmers also enjoy a strongly rising demand for their skills as shown by the following graph.
Course Curriculum
Chapter 1: Python programming for beginners
Lecture 1: Installation
Lecture 2: Print and Strings
Lecture 3: Math
Lecture 4: Variables
Lecture 5: While Loops
Lecture 6: For Loops
Lecture 7: If Statements
Lecture 8: If Else Statements
Lecture 9: If Elif Else Statements
Lecture 10: Functions
Lecture 11: Function Parameters
Lecture 12: Global and Local Variables
Lecture 13: Common Python Errors
Lecture 14: Writing to a File
Lecture 15: Appending to a File
Lecture 16: Reading From a File
Lecture 17: Classes
Lecture 18: Input and Statistics
Lecture 19: Import Syntax
Lecture 20: Making Modules
Lecture 21: Error Handling – Try and Accept
Lecture 22: Lists vs Tuples and List Manipulation
Lecture 23: Dictionaries
Lecture 24: Final Project
Lecture 25: Final Project Solution
Chapter 2: Python web programming
Lecture 1: Introduction
Lecture 2: Python Programming Introduction
Lecture 3: Object Oriented Programming Part 1
Lecture 4: Object Oriented Programming Part 2
Lecture 5: Modules Part1
Lecture 6: Modules Part2
Lecture 7: Python Programming Recap
Lecture 8: Basic Database (SQLite) with Python Introduction
Lecture 9: SQLite Introduction
Lecture 10: Creating Database And Table
Lecture 11: Inserting Data
Lecture 12: Inserting Dynamic Data
Lecture 13: Reading Data
Lecture 14: Limit, Update, and Delete
Lecture 15: Basic Database (SQLite) with Python Recap
Lecture 16: Using Python with the Internet Introduction
Lecture 17: urllib module
Lecture 18: urllib.requests
Lecture 19: urllib headers
Lecture 20: XML Intro
Lecture 21: Parsing XML
Lecture 22: Using Python with the Internet Recap
Lecture 23: Working with HTML Introduction
Lecture 24: Web Page Structure
Lecture 25: Web Page Structure 2
Lecture 26: Nav bar
Lecture 27: HTML’s body
Lecture 28: Comments, footers, and divs
Lecture 29: Parsing Paragraph Data
Lecture 30: Working with HTML Recap
Lecture 31: Intro to Web Server Programming
Lecture 32: Creating a VPS
Lecture 33: Interacting with our VPS
Lecture 34: FileZilla
Lecture 35: PySFTP
Lecture 36: Web Server Programming Recap
Lecture 37: MySQL database with Python Introduction
Lecture 38: MySQL basics
Lecture 39: MySQL Part 2
Lecture 40: Database Connection
Lecture 41: Inserting into Database
Lecture 42: Adding logic to insert
Lecture 43: Nohup
Lecture 44: Crontab
Lecture 45: MySQL database with Python Recap
Lecture 46: Python's Flask Web development Framework Introduction
Lecture 47: Flask setup
Lecture 48: Flask backend setup
Lecture 49: Basic Website
Lecture 50: Templates and Errors
Lecture 51: Variables And Logic
Lecture 52: Bootstrap incorporation
Lecture 53: More on Bootstrap
Lecture 54: Adding more pages to our site
Lecture 55: Extending Templates
Lecture 56: Additional Information
Lecture 57: Section Conclusion
Chapter 3: Data visualization with python and matplotlib
Lecture 1: Introduction
Lecture 2: Getting Matplotlib And Setting Up
Lecture 3: Different types of basic Matplotlib charts Introduction
Lecture 4: Basic matplotlib graph
Lecture 5: Labels, titles and window buttons
Lecture 6: Legends
Lecture 7: Bar Charts
Lecture 8: Histograms
Lecture 9: Scatter Plots
Lecture 10: Stack Plots
Lecture 11: Pie Chart
Lecture 12: Loading data from a CSV
Lecture 13: Loading data with NumPy
Lecture 14: Different types of basic Matplotlib charts Recap
Lecture 15: Basic Customization Options Introduction
Instructors
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Stone River eLearning
Over 1,000,000 Happy Students
Rating Distribution
- 1 stars: 59 votes
- 2 stars: 60 votes
- 3 stars: 228 votes
- 4 stars: 616 votes
- 5 stars: 724 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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