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

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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