Python Combo (Introduction & Advanced) Course

“People

Course Details:

Length: 7 days

Price: $4,335/person (USD)

Savings: $490/person (USD)

Group Price: Request Quote

Training Reviews

Course Features:

Live Instructor Teaching

Certificate of Completion

Digital Badge: Yes

Free 6 Month Online Retake

Hands-On Learning: Yes

Courseware: Digital

Software Lab Included: Yes

Delivery Methods:

 Live Online

Individuals & Groups
@ Your Location


  Onsite for Teams

Groups & Teams
@ Your Organization

This is an instructor-led course. It is taught live online by an instructor for individuals or at organizations for groups.
For a private team training, we can teach onsite at your office or private live online.

 

Course Overview

The Complete Python Programmer's Journey: From Beginner to Expert

Enroll in both levels of our instructor-led Python Programming classes and save $490. This course package includes:

Embark on a comprehensive learning journey with our Python Combo course, designed for anyone who wants to become a proficient Python developer. This all-in-one bundle combines our foundational and advanced training, providing a complete path from your very first line of code to mastering the sophisticated techniques used in professional software development and data science.

This course bundle will teach you how to write clean, efficient, and robust Python applications. You'll start by building a strong foundation in Python fundamentals, including essential concepts like data types, variables, and control flow. Through hands-on exercises, you will develop the core skills needed to confidently write your own scripts and solve real-world problems.

Once you have a solid grasp of the basics, this program will propel you into advanced Python programming. You will learn to use powerful features such as object-oriented programming (OOP), regular expressions, and advanced data handling techniques for working with databases, APIs, JSON, and XML. You will also master essential practices like code testing and debugging, ensuring your programs are reliable and performant.

By completing both courses, you will gain a competitive edge in the job market and the skills to tackle complex projects in fields such as machine learning, data analysis, and web automation.

Are you ready to build a rewarding career in technology? Enroll now and start your complete Python transformation.

 


Course Notes

Register Early: Registration Deadline is 2 Weeks Prior to Class Start.

Live Online Course Combo Refund Policy: Please note that once payment is received, the instructor-led bundles become non-refundable due to the savings you'll enjoy. However, we understand that life happens, and you can easily reschedule any included classes if needed. Just reach out to our friendly support team, and we'll be happy to help!
Important Course Information
Course Taught with Courseware: Python 3.8 Courseware.
Course Taught with Software: Python 3.8 Sotware.
Versions that Can Attend: Python 3.8, Python 3 & Python 2.
Prerequisites
Knowledge Prerequisites:
  • No prior programming experience is required.
Objectives
Introduction to Python Programming
  • Explain the basics of how Python works and its role in the programming world.
  • Define and apply key Python concepts, including variables, data types, and literals.
  • Write and run basic Python scripts to output data and collect user input.
  • Create and use functions and modules to organize your code.
  • Use flow control, including conditional statements and loops, to manage program logic.
  • Implement exception handling to gracefully manage errors.
  • Work with various data structures such as strings, lists, dictionaries, and sets.
  • Understand and manage files, dates, and times in Python.
  • Learn and apply best practices for Python coding standards.
Advanced Python Programming
  • Implement advanced Python concepts, including lambda functions, advanced list comprehensions, and the collections module.
  • Utilize regular expressions to search and manipulate text patterns.
  • Connect to and work with various data sources, including relational databases (SQLite) and web data (CSV, JSON, XML).
  • Apply professional testing and debugging techniques using the unittest module.
  • Write object-oriented programs by creating and extending classes and objects.
  • Understand and use decorators, properties, and other advanced class concepts.
Target Audience
  • Individuals who are new to programming and want to learn Python.
  • Professionals seeking to learn a new skill to automate tasks or get started in data science.
  • Students or hobbyists who want a practical and hands-on introduction to a popular and powerful language.
  • Students who have completed an introductory Python course and are ready to learn more.
  • Developers with some Python programming experience who want to level up their skills.
  • Aspiring data scientists, web developers, or automation engineers looking to master advanced Python concepts.

Delivery Methods

For Individuals

Learn From an Instructor Live Online

Certstaffix Training public classes are taught by live instructors to you in the comfort of your home or work. Attend our live online, instructor-led classes from the convenience of your location and avoid travel.

How It Works

  • A live instructor teaching you online via Zoom
  • Hands-on learning with the software or skill you are being taught
  • Any needed software for the class is provided in an online lab
  • Interact with all students in the class
  • Classes are kept small to have time for student questions
  • Easy, Real-Time Q&A

Have more than 10 students needing this course? Contact Us for bulk pricing.

For Groups/Teams

2 Ways to Hold a Private Group Class

Certstaffix Training offers two ways to hold a private training for your team:

   1. Group Onsite at Your Organization

An instructor comes to your organization to teach face-to-face. Travel is included in our onsite training prices. Use the quote form on this page to request a custom quote.

   2. Private Live Online

An instructor holds an online class just for your team. We provide the online conferencing and online lab environments (if applicable).

    Both Ways

No matter where you hold a private class, Certstaffix Training provides any required software in a web browser (during class) and ships any courseware (if applicable) directly to you before class starts.

  • A live instructor teaches your team an off-the-shelf or customized class
  • You choose the class schedule (subject to instructor availability)
  • You choose an off-the-shelf course or select topics
  • An online software lab environment is provided during class (if applicable, may require the creation of a free trial account)
  • Courseware is shipped before class (if applicable)

For further information and group rate inquiries, please Contact Us.

 

Course Topics

Introduction to Python Programming

Days 1-4

This course is designed for absolute beginners with no prior programming experience. It provides a solid foundation in Python fundamentals, covering core concepts like data types, variables, and basic functions through a series of hands-on exercises.

Detailed Course Outline:
Detailed Course Outline:
Lesson 1: Python Basics
  • Getting Familiar with the Terminal
  • Running Python
  • Running a Python File
  • Exercise 1: Hello, world!
  • Literals
  • Python Comments
  • Data Types
  • Exercise 2: Exploring Types
  • Variables
  • Exercise 3: A simple Python Script
  • Constants
  • Deleting Variables
  • Writing a Python Module
  • print() Function
  • Exercise 4: Hello, You!
  • Collecting User Input
  • Reading from and Writing to Files
  • Exercise 5: Working with Files
Lesson 2: Functions and Modules
  • Defining Functions
  • Variable Scope
  • Global Variables
  • Function Parameters
  • Exercise 6: A Function with Parameters
  • Returning Values
  • Exercise 7: Parameters with Default Values
  • Importing Modules
  • Methods vs. Functions
Lesson 3: Math
  • Arithmetic Operators
  • Exercise 8: Floor and Modulus
  • Assignment Operators
  • Precedence of Operations
  • Built-in Math Functions
  • The math Module
  • The random Module
  • Exercise 9: How Many Pizzas Do We Need?
  • Exercise 10: Dice Rolling
Lesson 4: Python Strings
  • Quotation Marks and Special Characters
  • String Indexing
  • Exercise 11: Indexing Strings
  • Slicing Strings
  • Exercise 12: Slicing Strings
  • Combining Concatenation and Repetition
  • Exercise 13: Repetition
  • Python Strings are Immutable
  • Common String Methods
  • String Formatting
  • Exercise 14: Playing with Formatting
  • Formatted String Literals (f-strings)
  • Built-in String Functions
  • Exercise 15: Outputting Tab-delimited Text
Lesson 5: Iterables: Sequences, Dictionaries, and Sets
  • Definitions
  • Sequences
  • Lists
  • Sequences and Random
  • Exercise 16: Remove and Return Random Element
  • Tuples
  • Ranges
  • Converting Sequences to Lists
  • Indexing
  • Exercise 17: Simple Rock, Paper, Scissors Game
  • Slicing
  • Exercise 18: Slicing Sequences
  • min(), max(), and sum()
  • Covering Sequences to Strings with Str.join(seq)
  • Splitting Strings into Lists
  • Unpacking Sequences
  • Dictionaries
  • The len() Function
  • Exercise 19: Creating a Dictionary from User Input
  • Sets
  • *args and **kwargs
Lesson 6: Virtual Environments, Packages, and pip
  • Exercise 20: Creating, Activating, Deactivating, and Deleting a Virtual Environment
  • Packages with pip
  • Exercise 21: Working with a virtual Environment
Lesson 7: Flow Control
  • Conditional Statements
  • Compound Conditions
  • The is and is not Operators
  • all() and any0
  • Ternary Operator
  • In Between
  • Loops in Python
  • Exercise 22: All True and Any True
  • break and continue
  • Looping through Lines in a File
  • Exercise 23: Word Guessing Game
  • Exercise 24: for. else
  • The enumerate() Function
  • Generators
  • List Comprehensions
Lesson 8: Exception Handling
  • Exception Basics
  • Wildcard except Clauses
  • Getting Information on Exceptions
  • Exercise 25: Raising Exceptions
  • The else Clause
  • The finally Clause
  • Using Exceptions for Flow Control
  • Exercise 26: Running Sum
  • Raising Your Own Exceptions
Lesson 9: Python Dates and Times
  • Understanding Time
  • The time Module
  • Time Structures
  • Times as Strings Time and Formatted Strings
  • Pausing Execution with time.sleep()
  • The datetime Module
  • datetime.datetime Objects
  • Exercise 27: What Color Pants Should I Wear?
  • dateumetimedelta Objects
  • Exercise 28: Report on Departure Times
Lesson 10: File Processing
  • Opening Files
  • Exercise 29: Finding Text in a File
  • Writing to Files
  • Exercise 30: Writing to Files
  • Exercise 31: List Creator
  • The os Module
  • Walking a Directory
  • The os.path Module
  • A Better Way to Open Files
  • Exercise 32: Comparing Lists
Lesson 11: PEP8 and Pylint
  • PEP8
  • Pylint


 

Advanced Python Programming

Days 5-7

Building on the introductory course, this training is for those who are comfortable with Python basics and are ready to elevate their skills. You will master professional-level topics such as object-oriented programming, regular expressions, data handling, and code testing to build more powerful and robust applications.

Detailed Course Outline:
Detailed Course Outline:
Lesson 1: Advanced Python Concepts
  • Lambda Functions
  • Advanced List Comprehensions
  • Exercise 1: Rolling Five Dice Collections Module
  • Exercise 2: Creating a defaultdict
  • Counters
  • Exercise 3: Creating a Counter
  • Mapping and Filtering
  • Mutable and Immutable Built-in Objects
  • Sorting
  • Exercise 4: Converting list.sort() to sorted(iterable)
  • Sorting Sequences of Sequences
  • Creating a Dictionary from Two Sequences
  • Unpacking Sequences in Function Calls
  • Exercise 5: Converting a String to a datetime.date Object
  • Modules and Packages
Lesson 2: Regular Expressions
  • Regular Expression Tester
  • Regular Expression Syntax
  • Python's Handling of Regular Expressions
  • Exercise 6: Green Glass Door
Lesson 3: Working with Data
  • Virtual Environment
  • Relational Databases
  • Passing Parameters
  • SQLite
  • Exercise 7: Querying a SQLite Database
  • SQLite Database in Memory
  • Exercise 8: Inserting File Data into a Database
  • Drivers for Other Databases
  • CSV
  • Exercise 9: Finding Data in a CSV File
  • Creating a New CV File
  • Exercise 10: Creating a CV with DictWrite
  • Getting Data from the Web
  • Exercise 11: HTML Scraping
  • XML
  • JSON
  • Exercise 12: JSON Home Runs
Lesson 4: Testing and Debugging
  • Testing for Performance
  • Exercise 13: Comparing Times to Execute
  • The unittest Module
  • Exercise 14: Fixing Functions
  • Special unittest.TestCase Methods
Lesson 5: Classes and Objects
  • Attributes
  • Behaviors
  • Classes vs. Objects
  • Attributes and Methods
  • Exercise 15: Adding a roll() Method to Die
  • Private Attributes
  • Properties
  • Exercise 16: Properties
  • Documenting Classes
  • Exercise 17: Documenting the Die Class
  • Inheritance
  • Exercise 18: Extending the Die Class
  • Extending a Class Method
  • Exercise 19: Extending the roll() Method
  • Static Methods
  • Class Attributes and Methods
  • Abstract Classes and Methods
  • Understanding Decorators

 



 


Related Python Programming Information:

How Much Do Python Training Courses Cost?
Live Python Course Fees:

Public instructor led Python training course prices start at $2,070 per student. Group training discounts are available.


Self-Paced Python Course Price:

Self-Paced Python eLearning courses cost $475 at the starting point per student. Group purchase discounts are available.

What Python Skills Should I Learn?

A: If you are wondering what Python programming skills are important to learn, we've written a Python Skills and Learning Guide that maps out Python skills that are key to master and which of our courses teaches each skill.

Read Our Python Skills and Learning Guide

Take Python Language Training

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Is it Better to Learn SQL or Python?

A: Whether it's better to learn SQL or Python can depend on an individual's professional goals. Generally, SQL is the best choice for those working with data and databases, while Python can be applied across several different disciplines, including data science, data analysis, and machine learning. Beginners may find SQL easier to learn because of its straightforward syntax, while those with existing programming language skills may appreciate Python's versatility. Considering the differences between them can help to make the right choice clearer. Then, all that's left is to sign up for high-quality training courses.

More Information on Learning SQL vs. Python

How Can I Learn Python and Get Certified?

A: As one of the most ubiquitous and dynamic programming languages today, Python has inspired countless employees to learn to code. Novices can familiarize themselves with Python through self-instruction, enrolling in college, or signing up for training courses offered by private companies. Regardless of the educational resource chosen, students should commit at least 100 hours to programming practice before attempting certification exams. The particular courses that a student should sign up for can depend on their skill level, current or future professional duties, and whether they want to obtain a certification.

More Information on How to Learn Python and Get Certified


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Is Python hard to learn?

A: Python is not a particularly difficult language to learn. In fact, many people find it much easier to pick up than other languages. The reason for this is that Python is designed to be very intuitive and easy to read. However, like any language, it does take some time and effort to master. The best way to learn Python is to attend a training course or class from a reputable provider. This will give you the chance to get hands-on experience with the language and also receive expert guidance from an experienced instructor.

Python training classes from Certstaffix Training are a great option for those looking to learn Python. Our courses are designed to give you the skills and knowledge you need to be successful with the language. Contact us today to find out more about our Python training courses.

How many days it will take to learn Python?

A: Python is a versatile language that you can use on the backend, frontend, or full stack of a web application. You can also use Python for data science and machine learning. The sky is the limit with what you can do with Python.

The answer to how long it will take you to learn python really depends on your level of experience and expertise with coding languages. If you are starting from scratch, it will obviously take longer than if you already have experience in coding.

You can learn Python in a few days with a formal training course or several weeks with online self-learning tutorials. Either way, continued practice after initial learning is key to grow and maintain your Python skills.

That being said, our Python classes at Certstaffix Training are designed to get you up to speed as quickly as possible. Our expert instructors will guide you through each concept, providing plenty of opportunity for practice and hands-on learning. Our Introduction to Python course is 4 days in length and is intended for those brand new to Python or with just some experience.

How do I start programming Python?

A: If you're interested in learning Python, there are a few different options available to you. You can take classes online or in-person, and there are even some free resources available if you want to learn on your own.

The best way to learn Python will depend on your learning style and goals. If you're looking for a more structured learning experience, taking classes is probably the best option. On the other hand, if you're the type of person who likes to learn at their own pace, there are plenty of resources available online that can help you get started with python programming.

No matter what route you decide to take, starting off with some basic python tutorials is always a good idea. This will help you get a feel for the syntax and structure of the language before you start diving into more complex topics. Once you have a solid understanding of the basics, you can then start exploring python's many powerful features.

If you're ready to get started learning Python, there are plenty of great resources available to help you on your journey. Just remember to take things at your own pace, and don't be afraid to ask for help when you need it. With a little bit of effort, you'll be writing python code in no time.

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Learning a new programming language can be challenging, but it also opens up a world of possibilities and opportunities. Among the many languages available, Python stands out as one of the most versatile and widely used ones. Whether you are looking for in person classes or online training options, there is no shortage of options for a Python programming course near me.

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But what are the most important Python skills to have? Here are five of the most important Python skills that you should focus on honing:

Top Python Skills

1. Web Development - If you want to be a web developer, then you need to know how to use Python. Python is a popular language for web development, thanks to its ease of use and robust libraries. With Python, you can create everything from simple websites to complex web applications.

2. Data Analysis - Python is also a great language for data analysis. With its powerful libraries, Python makes it easy to work with large datasets and perform complex statistical analyses. If you want to be a data analyst, then you need to be proficient in Python.

3. Artificial Intelligence - Artificial intelligence is one of the hottest fields in tech right now, and Python is a great language for AI development. Python's libraries make it easy to work with data and build complex algorithms. If you want to be an AI engineer, then you need to know Python.

4. Scripting - Python is also a great language for scripting. With Python, you can automate tasks and create small programs to make your life easier. If you're a sysadmin or developer, then you need to know how to use Python for scripting.

5. Machine Learning - Machine learning is another hot area in tech, and Python is one of the best languages for machine learning development. With its powerful libraries and ease of use, Python makes it easy to build complex machine learning models. If you want to be a machine learning engineer, then you need to know Python.

These are just five of the most important Python skills that you should focus on honing. If you want to be a successful Python programmer, then you need to be proficient in all of these areas. So start learning Python today and master these essential skills.

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Explore Python Training Classes Near Me:

Certstaffix Training provides Python classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of Python concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your Python skills.

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