Palpable Python beat it in 7 days: Learn it fast, Use it more Effective Step by Step Practical Programming for Newbies, Introduction Encoding functions Data Science

Are you looking for a life-saver Python book?


Congrats.. you are reading on the right page.


The book is crafted nicely for beginners to learn Python programming. If you read the whole book in order, you will be benefited in many ways because the writing is not mathematically challenging and the examples are easy to follow. This book is concise but solid. It covers all the core topics you would want to know about python in the first 12 chapters and does so in a concise, thoughtful manner. Grab this book today and prove it yourself!


What you will find inside this book:

1. Appetizer
2. Use the Python interpreter
2.1. Summon interpreter
2.1.1. Passing arguments
2.1.2. Interactive mode
2.2. The interpreter and its environment
2.2.1. Encoding the source code
3. Informal introduction to Python
3.1. Use Python as a calculator
3.1.1. Numbers
3.1.2. Strings
3.1.3. The lists
3.2. First steps towards programming
4. Other flow control tools
4.1. The if statement
4.2. The instruction for
4.3. The range () function
4.4. The break and continue statements, and the else clauses within the loops
4.5. The pass instruction
4.6. Define functions
4.7. More about defining functions
4.7.1. Default value of arguments
4.7.2. Named arguments
4.7.3. Lists of arbitrary arguments
4.7.4. Separation of the argument lists
4.7.5. Anonymous functions
4.7.6. Documentation chains
4.7.7. Annotations of functions
4.8. A coding style: Intermezzo
5. Data structures
5.1. Complements on the lists
5.1.1. Use lists like batteries
5.1.2. Use lists as queues
5.1.3. List comprehensions
5.1.4. Nested list comprehensions
5.2. The instruction del
5.3. Tuples and sequences
5.4. Sets
5.5. Dictionaries
5.6. Loop techniques
5.7. More information about the conditions
5.8. Compare sequences with other types
6. Modules
6.1. The modules in detail
6.1.1. Run modules like scripts
6.1.2. Module search files
6.1.3. Python files "compiled"
6.2. Standard modules
6.3. The dir () function
6.4. The packets
6.4.1. Import * from a package
6.4.2. Internal references in a package
6.4.3. Packages in multiple folders
7. Inputs / outputs
7.1. Data formatting
7.1.1. Old methods of formatting strings
7.2. Reading and writing files
7.2.1. Methods of file objects
7.2.2. Back up structured data with the json module
8. Errors and exceptions
8.1. Syntax errors
8.2. Exceptions
8.3. Exception Management
8.4. Trigger exceptions
8.5. User defined exceptions
8.6. Definition of cleaning actions
8.7. Predefined cleanup actions
9. Classes
9.1. A few words about names and objects
9.2. Python Scopes and Namespaces
9.2.1. Example of scopes and namespaces
9.3. A first approach to classes
9.3.1. Syntax for defining classes
9.3.2. Class objects
9.3.3. Instance objects
9.3.4. Method objects
9.3.5. Instance classes and variables
9.4. Miscellaneous remarks
9.5. The legacy
9.5.1. Multiple inheritance
9.6. Private variables
9.7. Tips and tricks
9.8. iterators
9.9. Generators
9.10. Expressions and generators
10. Overview of the Standard Library
10.1.