3 Books to Master Python in 2020

Python is the most popular programming language in today’s world.Be it Machine Learning,AI,Data Science,Web Development,in every field python is most popular than any other language.

If you search for best books to learn python,you will see many websites that will show you many books.But,do you really think,they have gone through all of the content before recommending it to you?They are just finding top rated books from amazon,and listing it on the websites.

But,in this post I am going to provide you names of 3 books,that are more than enough to master the python language.

Note:Books which are mentioned below are only for Learning Python.They do not teach you Machine Learning or Web Development.Like I have mentioned in the title,I am going to provide you with the names of 3 books which you need to master Python Programming Language.

Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming

I have personally used this books.This books covers python Basic concepts of python.This books covers all the basic level concepts of python like Strings,Lists,Dictionaries,Files,Loops,Conditional statements,Functions,Classes,Exception handling etc from core.This book also teaches data visualization in python and Web Development with Django.

But,I will recommend you to buy this book,only to learn python,because Django is a Big thing in itself.So,if you are looking for a book to learn Django,you should buy books that are related to Web Development with Django.This book is perfect if you want to learn core concepts of python.It also have some mini projects,that you can do and it will give you understanding of how to use the concepts you have learned in real world.You can buy this book here.

Head First Python 2e

After you finished reading first book which I have mentioned above,this is the next book you should buy.This book teaches you python from Basic to Advance, covering advance topics like decorators,generators,closures etc, in a very interesting way.This book explains all the concepts of python in very much detail providing you with concepts and details behind everything.On every page,you will find graphics,icons,images etc, explaining meaning of code that is used.After each lesson,you will have test in the form of fill-in-the-blanks.At the end of lesson,you will find FAQ’s.This books make learning fun.Just look at some of the images from the book which makes this book unique and interesting.

head first python example
Interesting way of Explaining things
head first python exercise
Exercise after every Lesson

Just Look at Table of content of this book.This book is a MUST if you want to master the Python Programming.

  1. Chapter 1 Meet Python: Everyone loves lists
    1. What’s to like about Python?
    2. Install Python 3
    3. Use IDLE to help learn Python
    4. Work effectively with IDLE
    5. Deal with complex data
    6. Create simple Python lists
    7. Lists are like arrays
    8. Add more data to your list
    9. Work with your list data
    10. For loops work with lists of any size
    11. Store lists within lists
    12. Check a list for a list
    13. Complex data is hard to process
    14. Handle many levels of nested lists
    15. Don’t repeat code; create a function
    16. Create a function in Python
    17. Recursion to the rescue!
    18. Your Python Toolbox
  2. Chapter 2 Sharing your Code: Modules of functions
    1. It’s too good not to share
    2. Turn your function into a module
    3. Modules are everywhere
    4. Comment your code
    5. Prepare your distribution
    6. Build your distribution
    7. A quick review of your distribution
    8. Import a module to use it
    9. Python’s modules implement namespaces
    10. Register with the PyPI website
    11. Upload your code to PyPI
    12. Welcome to the PyPI community
    13. With success comes responsibility
    14. Life’s full of choices
    15. Control behavior with an extra argument
    16. Before your write new code, think BIF
    17. Python tries its best to run your code
    18. Trace your code
    19. Work out what’s wrong
    20. Update PyPI with your new code
    21. You’ve changed your API
    22. Use optional arguments
    23. Your module supports both APIs
    24. Your API is still not right
    25. Your module’s reputation is restored
    26. Your Python Toolbox
  3. Chapter 3 Files and Exceptions: Dealing with errors
    1. Data is external to your program
    2. It’s all lines of text
    3. Take a closer look at the data
    4. Know your data
    5. Know your methods and ask for help
    6. Know your data (better)
    7. Two very different approaches
    8. Add extra logic
    9. Handle exceptions
    10. Try first, then recover
    11. Identify the code to protect
    12. Take a pass on the error
    13. What about other errors?
    14. Add more error-checking code…
    15. …Or add another level of exception handling
    16. So, which approach is best?
    17. You’re done…except for one small thing
    18. Be specific with your exceptions
    19. Your Python Toolbox
  4. Chapter 4 Persistence: Saving data to files
    1. Programs produce data
    2. Open your file in write mode
    3. Files are left open after an exception!
    4. Extend try with finally
    5. Knowing the type of error is not enough
    6. Use with to work with files
    7. Default formats are unsuitable for files
    8. Why not modify print_lol()?
    9. Pickle your data
    10. Save with dump and restore with load
    11. Generic file I/O with pickle is the way to go!
    12. Your Python Toolbox
  5. Chapter 5 Comprehending data: Work that data!
    1. Coach Kelly needs your help
    2. Sort in one of two ways
    3. The trouble with time
    4. Comprehending lists
    5. Iterate to remove duplicates
    6. Remove duplicates with sets
    7. Your Python Toolbox
  6. Chapter 6 Custom data Objects: Bundling code with data
    1. Coach Kelly is back (with a new file format)
    2. Use a dictionary to associate data
    3. Bundle your code and its data in a class
    4. Define a class
    5. Use class to define classes
    6. The importance of self
    7. Every method’s first argument is self
    8. Inherit from Python’s built-in list
    9. Coach Kelly is impressed
    10. Your Python Toolbox
  7. Chapter 7 Web Development: Putting it all together
    1. It’s good to share
    2. You can put your program on the Web
    3. What does your webapp need to do?
    4. Design your webapp with MVC
    5. Model your data
    6. View your interface
    7. Control your code
    8. CGI lets your web server run programs
    9. Display the list of athletes
    10. The dreaded 404 error!
    11. Create another CGI script
    12. Enable CGI tracking to help with errors
    13. A small change can make all the difference
    14. Your webapp’s a hit!
    15. Your Python Toolbox
  8. Chapter 8 Mobile app Development: Small devices
    1. The world is getting smaller
    2. Coach Kelly is on Android
    3. Don’t worry about Python 2
    4. Set up your development environment
    5. Configure the SDK and emulator
    6. Install and configure Android Scripting
    7. Add Python to your SL4A installation
    8. Test Python on Android
    9. Define your app’s requirements
    10. The SL4A Android API
    11. Select from a list on Android
    12. The athlete’s data CGI script
    13. The data appears to have changed type
    14. JSON can’t handle your custom datatypes
    15. Run your app on a real phone
    16. Configure AndFTP
    17. The coach is thrilled with his app
    18. Your Python Toolbox
  9. Chapter 9 Manage Your data: Handling input
    1. Your athlete times app has gone national
    2. Use a form or dialog to accept input
    3. Create an HTML form template
    4. The data is delivered to your CGI script
    5. Ask for input on your Android phone
    6. It’s time to update your server data
    7. Avoid race conditions
    8. You need a better data storage mechanism
    9. Use a database management system
    10. Python includes SQLite
    11. Exploit Python’s database API
    12. The database API as Python code
    13. A little database design goes a long way
    14. Define your database schema
    15. What does the data look like?
    16. Transfer the data from your pickle to SQLite
    17. What ID is assigned to which athlete?
    18. Insert your timing data
    19. SQLite data management tools
    20. Integrate SQLite with your existing webapp
    21. You still need the list of names
    22. Get an athlete’s details based on ID
    23. You need to amend your Android app, too
    24. Update your SQLite-based athlete data
    25. The NUAC is over the moon!
    26. Your Python Toolbox
  10. Chapter 10 Scaling your Webapp: Getting real
    1. There are whale sightings everywhere
    2. The HFWWG needs to automate
    3. Build your webapp with Google App Engine
    4. Download and install App Engine
    5. Make sure App Engine is working
    6. App Engine uses the MVC pattern
    7. Model your data with App Engine
    8. What good is a model without a view?
    9. Use templates in App Engine
    10. Django’s form validation framework
    11. Check your form
    12. Controlling your App Engine webapp
    13. Restrict input by providing options
    14. Meet the “blank screen of death”
    15. Process the POST within your webapp
    16. Put your data in the datastore
    17. Don’t break the “robustness principle”
    18. Accept almost any date and time
    19. It looks like you’re not quite done yet
    20. Sometimes, the tiniest change can make all the difference…
    21. Capture your user’s Google ID, too
    22. Deploy your webapp to Google’s cloud
    23. Your HFWWG webapp is deployed!
    24. Your Python Toolbox
  11. Chapter 11 Dealing with Complexity: Data wrangling
    1. What’s a good time goal for the next race?
    2. So… what’s the problem?
    3. Start with the data
    4. Store each time as a dictionary
    5. Dissect the prediction code
    6. Get input from your user
    7. Getting input raises an issue…
    8. If it’s not in the dictionary, it can’t be found
    9. Search for the closest match
    10. The trouble is with time
    11. The time-to-seconds-to-time module
    12. The trouble is still with time…
    13. Port to Android
    14. Your Android app is a bunch of dialogs
    15. Put your app together…
    16. Your app’s a wrap!
    17. Your Python Toolbox
    18. It’s time to go…
  12. Appendix Leftovers: The Top Ten Things (we didn’t cover)
    1. #1: Using a “professional” IDE
    2. #2: Coping with scoping
    3. #3: Testing
    4. #4: Advanced language features
    5. #5: Regular expressions
    6. #6: More on web frameworks
    7. #7: Object relational mappers and NoSQL
    8. #8: Programming GUIs
    9. #9: Stuff to avoid
    10. #10: Other books

So,now must have understood,how important this book is for python programming.So,don’t wait anymore and buy this book for yourself.You can buy this book here.

Python Tricks: A Buffet of Awesome Python Features

This book is my favourite. Although,this book is not required,but I recommend you to buy this book also.This book contains lots of python tips and tricks that you will not get on any website or in any other book.This book provide you with the tricks that you can use to write shorter codes and one liners.I want to show you one trick that this book has,and that is used to join multiple dictionaries.

a={1:"a",2:"b"}
b={3:"c",4:"d"}

##Join using Normal way##
a.update(b)
print(a)

##Output
{1: 'a', 2: 'b', 3: 'c', 4: 'd'}

##Same thing,with the trick
##Which is in this book

c={**a,**b}
print(c)

##Output
{1: 'a', 2: 'b', 3: 'c', 4: 'd'}

Have you seen,how much easy and short it was with the trick which was in this book.If you know python,and want to improve your skill’s or want to show off to someone who knows python,then you should buy this book.You can order this book here.

So,you need to buy these book tomster Python Programming language.This 3 books are enough to Learn Python from beginning to advance level.

I hope I gave you very useful information.If you have any suggestion,feel free to comment down below.

Thank You.

Amarjeet

About Amarjeet

Amarjeet,BE in CS ,love to code in python and passionate about Machine Learning and Data Science. Expertsteaching.com is just a medium to share what I have learned till now with world.
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