HARTMANN software group

Java Programming Training Classes in El Cajon, California

Training Suggestions from the Experts

An Experienced Java developer must know

... everything or so it can seem.  A solid grasp and knowledge of Object Oriented Programming constructs such as inheritance, polymorphism, interfaces and reflection are essential.  Next in line is the knowldge to be able to import/export file data, running SQL queries, using regular expressions and, possibly, knowing how to write multi-threaded code and make socket connections.  A class that addresses most of these topics is:  Fast Track to Java 11 and OO Development.

For the more daring Java enthusiast and especially for those looking to become professional Java developers, knowledge of the Spring Framework is expected.  A perfect class for this is:  Fast Track to Spring Framework and Spring MVC/Rest.  Not only does this course provide students with a great introduction to spring, it goes beyond the basics with a solid delve into Spring and web development.

Another consideration is learning JBoss aka Wildfly, the free Application Server from RedHat.   JBoss has become the workhorse of most Java EE applications.  Add to that a class on Tomcat, the defacto servlet engine, and the student can be considered 'ready' for employment.

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Learn Java Programming in El Cajon, California and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Java Programming related training offerings in El Cajon, California: Java Programming Training

We offer private customized training for groups of 3 or more attendees.
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El-Cajon  Upcoming Instructor Led Online and Public Java Programming Training Classes
Fast Track to Java 17 and OO Development Training/Class 18 August, 2025 - 22 August, 2025 $1750
HSG Training Center instructor led online
El-Cajon, California 92019
Hartmann Software Group Training Registration
Introduction to Spring 6, Spring Boot 3, and Spring REST Training/Class 25 August, 2025 - 29 August, 2025 $1750
HSG Training Center instructor led online
El-Cajon, California 92019
Hartmann Software Group Training Registration

Java Programming Training Catalog

subcategories

Advanced Java Language Topics Class
cost: $ 1750length: 1 day(s)
Advanced Java Programming Class
cost: $ 1750length: 5 day(s)
Advanced Java Programming(3 days) Class
cost: $ 1750length: 3 day(s)
Ajax for Java Developers Class
cost: $ 1750length: 4 day(s)
Blaze Advisor for Java Developers Class
cost: $ 1750length: 3 day(s)
Continuous Integration with Jenkins Class
cost: $ 1090length: 2 day(s)
Fast Track to Java 17 and OO Development Class
cost: $ 1750length: 5 day(s)
Fast Track to Java 8 and OO Development Class
cost: $ 1750length: 5 day(s)
Fast Track to Java for OO Developers Class
cost: $ 1750length: 3 day(s)
Gentle Java and OO Development Class
cost: $ 1750length: 4 day(s)
Intermediate - Advanced Java 11 Class
cost: $ 1750length: 5 day(s)
Intermediate Java Programming Class
cost: $ 1750length: 2 day(s)
Introduction to Java Class
cost: $ 1750length: 5 day(s)
Introduction to Java Programming Class
cost: $ 1750length: 3 day(s)
Introduction to Spark 3 with Scala Class
cost: $ 1890length: 4 day(s)
Java 11 New Features Class
cost: $ 1750length: 2 day(s)
Java 8 New Features Class
cost: $ 1750length: 2 day(s)
Java Best Practices and Design Patterns Class
cost: $ 1750length: 4 day(s)
Java Fundamentals Class
cost: $ 1750length: 5 day(s)
Java Fundamentals for Non-C Programmers Class
cost: $ 1750length: 5 day(s)
Java Modules and New Features (Java 11+) Class
cost: $ 1750length: 2 day(s)
Java Programming Class
cost: $ 1750length: 5 day(s)
Java Programming Version 8.0 Class
cost: $ 1750length: 5 day(s)
Java Programming Introduction Class
cost: $ 1750length: 4 day(s)
Java Web Programming Class
cost: $ 1750length: 2 day(s)
Java2 Advanced Programming Class
cost: $ 1750length: 3 day(s)
JDBC - Java Database Connectivity Class
cost: $ 1750length: 1 day(s)
Migrating to Java 8 Version 8.0 Class
cost: $ 1750length: 1 day(s)
Practical Java Language Topics Class
cost: $ 1750length: 1 day(s)
Practical Java Programming Class
cost: $ 1750length: 1 day(s)
The Java Persistence API Class
cost: $ 1750length: 4 day(s)
Tomcat Administration for Linux Class
cost: $ 1390length: 3 day(s)
Tomcat Administration for Windows Class
cost: $ 1390length: 3 day(s)
Using Java 8's New Features Class
cost: $ 1750length: 2 day(s)

JBoss Administration Classes

Fast Track to EJB 3.0 Using JBoss Class
cost: $ 1290length: 3 day(s)

JUnit, TDD, CPTC, Web Penetration Classes

Express JUnit Class
cost: $ 890length: 1 day(s)

Java Enterprise Edition Classes

Fast Track to EJB 3.0 (JEE 5 level) Class
cost: $ 1290length: 3 day(s)
Fast Track to Hibernate 3.x Class
cost: $ 1290length: 3 day(s)
Fast Track to Jakarta Struts Class
cost: $ 1290length: 3 day(s)
Introduction to ICEfaces Class
cost: $ 390length: 1 day(s)
Introduction to Spring 5 (2022) Class
cost: $ 990length: 3 day(s)
Introduction to Spring 5 and JPA2 Class
cost: $ 2190length: 5 day(s)
Java Enterprise Edition 6 Class
cost: $ 1750length: 4 day(s)
JavaServer Faces Class
cost: $ 1750length: 2 day(s)
JavaServer Faces (5 day) Class
cost: $ 1750length: 5 day(s)
JPA with Hibernate Class
cost: $ 1690length: 4 day(s)
JSF Development with ICEfaces Class
cost: $ 1690length: 1 day(s)
Secure Java Web Development Class
cost: $ 1750length: 5 day(s)
Securing Java Web Applications Class
cost: $ 1750length: 4 day(s)
Struts 1.2 Programming Class
cost: $ 1290length: 3 day(s)
The JSP Standard Tag Library Class
cost: $ 790length: 2 day(s)

Java Programming Classes

Intermediate and Advanced Java 8 Class
cost: $ 1750length: 5 day(s)
Intermediate Java 7 and OO Development Class
cost: $ 1750length: 5 day(s)

Spring Classes

Fast Track to Spring 2.x Class
cost: $ 1290length: 3 day(s)
Fast Track to Spring and Hibernate Class
cost: $ 1750length: 5 day(s)
Fast Track to Spring Framework 3.x Class
cost: $ 1290length: 3 day(s)
Introduction to Spring Batch Class
cost: $ 690.00length: 1 day(s)
Spring Framework Security Class
cost: $ 1090length: 3 day(s)

Course Directory [training on all levels]

Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Blog Entries publications that: entertain, make you think, offer insight

Can Python Predict Outcomes Based on Historical Data?
[Sep, 21, 2017]    |
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Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.

Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.

Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?

One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.

What Should I Focus On To Become Good C++ Developer?
[Apr, 01, 2020]    |
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The original article was posted by Michael Veksler on Quora

A very well known fact is that code is written once, but it is read many times. This means that a good developer, in any language, writes understandable code. Writing understandable code is not always easy, and takes practice. The difficult part, is that you read what you have just written and it makes perfect sense to you, but a year later you curse the idiot who wrote that code, without realizing it was you.

The best way to learn how to write readable code, is to collaborate with others. Other people will spot badly written code, faster than the author. There are plenty of open source projects, which you can start working on and learn from more experienced programmers.

Readability is a tricky thing, and involves several aspects:

  1. Never surprise the reader of your code, even if it will be you a year from now. For example, don’t call a function max() when sometimes it returns the minimum().
  2. Be consistent, and use the same conventions throughout your code. Not only the same naming conventions, and the same indentation, but also the same semantics. If, for example, most of your functions return a negative value for failure and a positive for success, then avoid writing functions that return false on failure.
  3. Write short functions, so that they fit your screen. I hate strict rules, since there are always exceptions, but from my experience you can almost always write functions short enough to fit your screen. Throughout my carrier I had only a few cases when writing short function was either impossible, or resulted in much worse code.
  4. Use descriptive names, unless this is one of those standard names, such as i or it in a loop. Don’t make the name too long, on one hand, but don’t make it cryptic on the other.
  5. Define function names by what they do, not by what they are used for or how they are implemented. If you name functions by what they do, then code will be much more readable, and much more reusable.
  6. Avoid global state as much as you can. Global variables, and sometimes attributes in an object, are difficult to reason about. It is difficult to understand why such global state changes, when it does, and requires a lot of debugging.
  7. As Donald Knuth wrote in one of his papers: “Early optimization is the root of all evil”. Meaning, write for readability first, optimize later.
  8. The opposite of the previous rule: if you have an alternative which has similar readability, but lower complexity, use it. Also, if you have a polynomial alternative to your exponential algorithm (when N > 10), you should use that.

Use standard library whenever it makes your code shorter; don’t implement everything yourself. External libraries are more problematic, and are both good and bad. With external libraries, such as boost, you can save a lot of work. You should really learn boost, with the added benefit that the c++ standard gets more and more form boost. The negative with boost is that it changes over time, and code that works today may break tomorrow. Also, if you try to combine a third-party library, which uses a specific version of boost, it may break with your current version of boost. This does not happen often, but it may.

Don’t blindly use C++ standard library without understanding what it does - learn it. You look at std::vector::push_back() documentation at it tells you that its complexity is O(1), amortized. What does that mean? How does it work? What are benefits and what are the costs? Same with std::map, and with std::unordered_map. Knowing the difference between these two maps, you’d know when to use each one of them.

Never call new or delete directly, use std::make_unique and [cost c++]std::make_shared[/code] instead. Try to implement usique_ptr, shared_ptr, weak_ptr yourself, in order to understand what they actually do. People do dumb things with these types, since they don’t understand what these pointers are.

Every time you look at a new class or function, in boost or in std, ask yourself “why is it done this way and not another?”. It will help you understand trade-offs in software development, and will help you use the right tool for your job. Don’t be afraid to peek into the source of boost and the std, and try to understand how it works. It will not be easy, at first, but you will learn a lot.

Know what complexity is, and how to calculate it. Avoid exponential and cubic complexity, unless you know your N is very low, and will always stay low.

Learn data-structures and algorithms, and know them. Many people think that it is simply a wasted time, since all data-structures are implemented in standard libraries, but this is not as simple as that. By understanding data-structures, you’d find it easier to pick the right library. Also, believe it or now, after 25 years since I learned data-structures, I still use this knowledge. Half a year ago I had to implemented a hash table, since I needed fast serialization capability which the available libraries did not provide. Now I am writing some sort of interval-btree, since using std::map, for the same purpose, turned up to be very very slow, and the performance bottleneck of my code.

Notice that you can’t just find interval-btree on Wikipedia, or stack-overflow. The closest thing you can find is Interval tree, but it has some performance drawbacks. So how can you implement an interval-btree, unless you know what a btree is and what an interval-tree is? I strongly suggest, again, that you learn and remember data-structures.

These are the most important things, which will make you a better programmer. The other things will follow.

How Would Current Technology Have Altered the JFK Tragedy?
[Dec, 09, 2013]    |
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It is hard not to wonder how current technology would have altered the events surrounding the tragic death of John F. Kennedy. On the afternoon of November 22, 1963, shots rang out in Dallas, TX, taking the life of JFK, one of the most beloved Americans. Given the same circumstances today, surely the advances in IT alone, would have drastically changed the outcome of that horrible day. Would the government have recognized that there was a viable threat looming over JFK? Would local and government agencies have been more prepared for a possible assassination attempt? Would the assortment of everyday communication devices assisted in the prevention of the assassination, not to mention, provided greater resources into the investigation? With all that the IT world has to offer today, how would it have altered the JFK tragedy?

 

As many conspiracy theories have rocked the foundation of the official story presented by government agencies, realization of the expansive nature of technology provides equal consideration as to how the event would have been changed had this technology been available during the time of the shooting. There were T.V. cameras, home 8mm recorders, even single shot-hand held cameras snapping away as the car caravan approached. Yet, there remains little documentation of the shooting and even less information pertaining to the precautions taken by officials prior to JFK's arrival. Theorists consider these possibilities along with how the world would have turned out had the great John F. Kennedynever been assassinated on that day.

 

E-books vs Hard Copies
[Aug, 10, 2012]    |
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There has been and continues to be a plethora of observational studies by different researchers in the publishing industry focused on how e-books have affected hard-copy book sales. Evidence from these studies has indicated that there is a significant and monumental shift away from hard-copy books to e-books.[1]These findings precipitate fears that hard-copy books might become more expensive in the near future as they begin to be less available.  This scenario could escalate to the point where only collectors of hard-copy books are willing to pay the high price for ownership.

The founder of Amazon, Jeff Bezos, made a statement in July 2010 that sales of digital books had significantly outstripped U.S. sales of hard-copy. He claimed that Amazon had sold 143 digital books for its e-reader, the Kindle, for every 100 hard-back books over the past three months. The pace of this change was unprecedented;  Amazon said that in the four weeks of June 2010, the rate of sales had reached 180 e-books for every 100 hard-backs sold. Bezos said sales of the Kindle and e-books had reached a "tipping point", with five authors including Steig Larsson, the writer of Girl with a Dragon Tattoo, and Stephenie Meyer, who penned the Twilight series, each selling more than 500,000 digital books.[2] Earlier in July 2010, Hachette said that James Patterson had sold 1.1m e-books to date.

According to a report made by Publishers Weekly, for the first quarter of 2011, e-book sales were up 159.8%; netting sales of $233.1 million. Although adult hard-cover and mass market paperback hard-copies had continued to sell, posting gains in March, all the print segments had declined for the first quarter with the nine mass market houses that report sales. Their findings revealed a 23.4% sales decline, and that children’s paper-back publishers had also declined by 24.1%.[3] E-book sales easily out-distanced mass market paperback sales in the first quarter of 2011 with mass market sales of hard-copy books falling to $123.3 million compared to e-books’ $233.1 million in sales.

According to .net sales report by the March Association of American Publishers (AAP) which collected data and statistics from 1,189 publishers, the adult e-Book sales were $282.3 million in comparison to adult hard-cover book sales which counted $229.6 million during the first quarter of 2012. During the same period in 2011, eBooks revenues were $220.4 million.[4] These reports indicate a disconcerting diminishing demand for hard-copy books.

Tech Life in California

Largely influenced by several immigrant populations California has experienced several technological, entertainment and economic booms over the years. As for technology, Silicon Valley, in the southern part of San Francisco is an integral part of the world’s innovators, high-tech businesses and a myriad of techie start-ups. It also accounts for 1/3rd of all venture capital investments.
There's no genius behind it. It's persistence and listening to people. Craig Newman, Craigslist Founder
other Learning Options
Software developers near El Cajon have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in California that offer opportunities for Java Programming developers
Company Name City Industry Secondary Industry
Mattel, Inc. El Segundo Retail Sporting Goods, Hobby, Book, and Music Stores
Spectrum Group International, Inc. Irvine Retail Retail Other
Chevron Corp San Ramon Energy and Utilities Gasoline and Oil Refineries
Jacobs Engineering Group, Inc. Pasadena Real Estate and Construction Construction and Remodeling
eBay Inc. San Jose Software and Internet E-commerce and Internet Businesses
Broadcom Corporation Irvine Computers and Electronics Semiconductor and Microchip Manufacturing
Franklin Templeton Investments San Mateo Financial Services Investment Banking and Venture Capital
Pacific Life Insurance Company Newport Beach Financial Services Insurance and Risk Management
Tutor Perini Corporation Sylmar Real Estate and Construction Construction and Remodeling
SYNNEX Corporation Fremont Software and Internet Data Analytics, Management and Storage
Core-Mark International Inc South San Francisco Manufacturing Food and Dairy Product Manufacturing and Packaging
Occidental Petroleum Corporation Los Angeles Manufacturing Chemicals and Petrochemicals
Yahoo!, Inc. Sunnyvale Software and Internet Software and Internet Other
Edison International Rosemead Energy and Utilities Gas and Electric Utilities
Ingram Micro, Inc. Santa Ana Computers and Electronics Consumer Electronics, Parts and Repair
Safeway, Inc. Pleasanton Retail Grocery and Specialty Food Stores
Gilead Sciences, Inc. San Mateo Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
AECOM Technology Corporation Los Angeles Real Estate and Construction Architecture,Engineering and Design
Reliance Steel and Aluminum Los Angeles Manufacturing Metals Manufacturing
Live Nation, Inc. Beverly Hills Media and Entertainment Performing Arts
Advanced Micro Devices, Inc. Sunnyvale Computers and Electronics Semiconductor and Microchip Manufacturing
Pacific Gas and Electric Corp San Francisco Energy and Utilities Gas and Electric Utilities
Electronic Arts Inc. Redwood City Software and Internet Games and Gaming
Oracle Corporation Redwood City Software and Internet Software and Internet Other
Symantec Corporation Mountain View Software and Internet Data Analytics, Management and Storage
Dole Food Company, Inc. Thousand Oaks Manufacturing Food and Dairy Product Manufacturing and Packaging
CBRE Group, Inc. Los Angeles Real Estate and Construction Real Estate Investment and Development
First American Financial Corporation Santa Ana Financial Services Financial Services Other
The Gap, Inc. San Francisco Retail Clothing and Shoes Stores
Ross Stores, Inc. Pleasanton Retail Clothing and Shoes Stores
Qualcomm Incorporated San Diego Telecommunications Wireless and Mobile
Charles Schwab Corporation San Francisco Financial Services Securities Agents and Brokers
Sempra Energy San Diego Energy and Utilities Gas and Electric Utilities
Western Digital Corporation Irvine Computers and Electronics Consumer Electronics, Parts and Repair
Health Net, Inc. Woodland Hills Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Allergan, Inc. Irvine Healthcare, Pharmaceuticals and Biotech Biotechnology
The Walt Disney Company Burbank Media and Entertainment Motion Picture and Recording Producers
Hewlett-Packard Company Palo Alto Computers and Electronics Consumer Electronics, Parts and Repair
URS Corporation San Francisco Real Estate and Construction Architecture,Engineering and Design
Cisco Systems, Inc. San Jose Computers and Electronics Networking Equipment and Systems
Wells Fargo and Company San Francisco Financial Services Banks
Intel Corporation Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Applied Materials, Inc. Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Sanmina Corporation San Jose Computers and Electronics Semiconductor and Microchip Manufacturing
Agilent Technologies, Inc. Santa Clara Telecommunications Telecommunications Equipment and Accessories
Avery Dennison Corporation Pasadena Manufacturing Paper and Paper Products
The Clorox Company Oakland Manufacturing Chemicals and Petrochemicals
Apple Inc. Cupertino Computers and Electronics Consumer Electronics, Parts and Repair
Amgen Inc Thousand Oaks Healthcare, Pharmaceuticals and Biotech Biotechnology
McKesson Corporation San Francisco Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
DIRECTV El Segundo Telecommunications Cable Television Providers
Visa, Inc. San Mateo Financial Services Credit Cards and Related Services
Google, Inc. Mountain View Software and Internet E-commerce and Internet Businesses

training details locations, tags and why hsg

the hartmann software group advantage
why take Java Programming Training with the hartmann software group?
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in California since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about Java Programming programming
  • Get your questions answered by easy to follow, organized Java Programming experts
  • Get up to speed with vital Java Programming programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
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California cities where we offer Java Programming Training Classes
·West Covina, California · Berkeley, CA · Redlands · Antioch, CA ·Bellflower, California · Salinas, CA ·Roseville, California · Vista, CA · Victorville · Lynwood, CA ·Carson, California · Murrieta, CA ·Inglewood, California · Baldwin Park, CA · San Jose · Woodland, CA ·Yorba Linda, California · Encinitas, CA ·Sacramento, California · Colton, CA · Los Angeles (la) · Alhambra, CA ·Stockton, California · Pico Rivera, CA ·Lake Forest, California · Santa Rosa, CA · Hanford · Chula Vista, CA ·Camarillo, California · Modesto, CA ·Montebello, California · Westminster, CA · Lakewood · Manteca, CA ·Chino, California · San Francisco, CA ·Monterey Park, California · Elk Grove, CA · Daly City · Rancho Cordova, CA ·Rocklin, California · Milpitas, CA ·Corona, California · Costa Mesa, CA · Pasadena · Perris, CA ·Lancaster, California · Palo Alto, CA ·Chino Hills, California · Compton, CA · Union City · San Leandro, CA ·Pomona, California · San Mateo, CA ·Cerritos, California · Tracy, CA · Sunnyvale · Highland, CA ·Fresno, California · Bakersfield, CA ·Madera, California · Oxnard, CA · Torrance · Irvine, CA ·Hemet, California · South Gate, CA ·Redwood City, California · Tustin, CA · Ontario · Santa Clarita, CA ·Arcadia, California · Downey, CA ·Fontana, California · Redding, CA · La Habra · San Clemente, CA ·Buena Park, California · Redondo Beach, CA ·Newport Beach, California · Paramount, CA · Watsonville · Visalia, CA ·Santa Monica, California · Moreno Valley, CA ·Richmond, California · Folsom, CA · Delano · Tulare, CA ·San Rafael, California · Merced, CA ·Alameda, California · Riverside, CA · Davis · Cathedral City, CA ·Fremont, California · Indio, CA ·Napa, California · Lake Elsinore, CA · Carlsbad · Lodi, CA ·San Bernardino, California · Clovis, CA ·Palm Desert, California · Mountain View, CA · La Mesa · Ventura, CA ·Long Beach, California · Rosemead, CA ·Huntington Beach, California · Hesperia, CA · Novato · Chico, CA ·Citrus Heights, California · Santee, CA ·Laguna Niguel, California · Escondido, CA · Simi Valley · Cupertino, CA ·Rancho Cucamonga, California · National City, CA ·Garden Grove, California · Livermore, CA · Oceanside · Santa Maria, CA ·Fullerton, California · Turlock, CA ·Walnut Creek, California · Santa Cruz, CA · South San Francisco · Vacaville, CA ·San Diego, California · Upland, CA ·Santa Ana, California · Apple Valley, CA · Rialto · Temecula, CA ·Norwalk, California · Whittier, CA ·Glendale, California · Petaluma, CA · Hayward · Hawthorne, CA ·Anaheim, California · Burbank, CA ·Pittsburg, California · Palmdale, CA · El Monte · Oakland, CA ·Vallejo, California · Concord, CA ·Orange, California · Gardena, CA · Diamond Bar · San Marcos, CA ·Huntington Park, California · Fairfield, CA ·Fountain Valley, California · Santa Barbara, CA · Santa Clara · Yuba City, CA ·El Cajon, California · Pleasanton, CA ·Thousand Oaks, California · Porterville, CA · Mission Viejo

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.