O'Reilly® Python Cookbook, 3rd Edition: Recipes for Mastering Python 3 O' Reilly Media (August 20, ); eBook ( - Date); Paperback pages; eBook HTML; Language: English; ISBN X Read and Download Links. lyubimov.info Python Cookbook, Third Edition Media, Inc. Python Cookbook, the image of a springhaas, and related trade dress are. by David Beazley, Brian K. Jones. If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python , this unique cookbook is for experienced Python programmers who.
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lyubimov.info O'Reilly Media, Inc. The Cookbook series designations, Python Cookbook, the image of a .. Resuming the HTTP Download of a File. Download A Python Book: Beginning Python, Advanced Python, and Python Python Graphics Cookbook is a collection of straightforward recipes and. If you're looking to learn a programming language that's cross-platform and easily accessible, Java is one of the most practical languages out there. This handy.
Then keep reading… Below are 15 free Python eBooks, plus a couple extra, that you can take with you anywhere. This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you. It weighs and discusses the merits of each of these choices, and briefly discusses the reasons each option exists. This report provides a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language. The Blueprint to Python Programming: Click Here for the Ebook.
Python Cookbook, 3rd Edition
Susan Cain. Jason Fried. The 4-Hour Workweek, Expanded and Updated. Timothy Ferriss. Steve Jobs. Walter Isaacson. Yuval Noah Harari. Ender's Game. Orson Scott Card. The Name of the Wind. Patrick Rothfuss. The Wise Man's Fear. Dan Brown. A Brief History of Time. Stephen Hawking.
George R. The Martian. Andy Weir. A Dance with Dragons. A Game of Thrones. The Hunger Games Trilogy. Suzanne Collins.
The Hunger Games: Special Edition.
The Girl with the Dragon Tattoo. Stieg Larsson. An Astronaut's Guide to Life on Earth. Chris Hadfield. Scott Meyers. Fluent Python. Luciano Ramalho. Introduction to Machine Learning with Python.
Andreas C. Test-Driven Development with Python.
Harry Percival. Lightweight Django. Julia Elman. Production-Ready Microservices. Susan J. Hadoop Application Architectures.
Mark Grover. Think Python. Allen B. Kurt W. The Hitchhiker's Guide to Python. Kenneth Reitz. Python Data Science Handbook. Jake VanderPlas.
Introducing Go. Caleb Doxsey. High Performance Python. Micha Gorelick. Effective Computation in Physics. Anthony Scopatz. OpenCV 3. Prateek Joshi.
Python Cookbook, 3rd Edition [Book]
Charles Bell. Docker for Data Science. Joshua Cook. Elegant SciPy. Juan Nunez-Iglesias. Cloud Native Programming with Golang. Mina Andrawos. Gaston C. Practical Machine Learning with Python.
Dipanjan Sarkar. Becoming Functional. Joshua Backfield.
Steven Lott. Creating New Iteration Patterns with Generators 4. Implementing the Iterator Protocol 4. Iterating in Reverse 4. Defining Generator Functions with Extra State 4. Taking a Slice of an Iterator 4. Skipping the First Part of an Iterable 4. Iterating Over Multiple Sequences Simultaneously 4. Iterating on Items in Separate Containers 4. Creating Data Processing Pipelines 4.
Flattening a Nested Sequence 4. Replacing Infinite while Loops with an Iterator 5. Reading and Writing Text Data 5. Printing to a File 5. Printing with a Different Separator or Line Ending 5.
Reading and Writing Binary Data 5. Reading and Writing Compressed Datafiles 5.
Iterating Over Fixed-Sized Records 5. Reading Binary Data into a Mutable Buffer 5. Memory Mapping Binary Files 5. Manipulating Pathnames 5. Testing for the Existence of a File 5.
Getting a Directory Listing 5. Bypassing Filename Encoding 5. Printing Bad Filenames 5. Writing Bytes to a Text File 5. Making Temporary Files and Directories 5. Communicating with Serial Ports 5. Serializing Python Objects 6. Data Encoding and Processing 6. Turning a Dictionary into XML 6. Interacting with a Relational Database 6. Decoding and Encoding Hexadecimal Digits 6. Decoding and Encoding Base64 6. Reading and Writing Binary Arrays of Structures 6. Summarizing Data and Performing Statistics 7.
Functions 7. Attaching Informational Metadata to Function Arguments 7. Returning Multiple Values from a Function 7. Defining Functions with Default Arguments 7. Defining Anonymous or Inline Functions 7. Capturing Variables in Anonymous Functions 7. Replacing Single Method Classes with Functions 7. Carrying Extra State with Callback Functions 7. Inlining Callback Functions 7.
Accessing Variables Defined Inside a Closure 8. Classes and Objects 8. Changing the String Representation of Instances 8. Customizing String Formatting 8.
Encapsulating Names in a Class 8. Creating Managed Attributes 8. Calling a Method on a Parent Class 8. Extending a Property in a Subclass 8. Using Lazily Computed Properties 8. Simplifying the Initialization of Data Structures 8. Defining an Interface or Abstract Base Class 8. Implementing a Data Model or Type System 8. Implementing Custom Containers 8. Delegating Attribute Access 8. Creating an Instance Without Invoking init 8. Extending Classes with Mixins 8. Implementing Stateful Objects or State Machines 8.
Implementing the Visitor Pattern 8. Implementing the Visitor Pattern Without Recursion 8. Managing Memory in Cyclic Data Structures 8. Making Classes Support Comparison Operations 8. Creating Cached Instances 9. Metaprogramming 9. Putting a Wrapper Around a Function 9.
Unwrapping a Decorator 9. Defining a Decorator That Takes Arguments 9. Defining a Decorator with User Adjustable Attributes 9. Defining Decorators As Part of a Class 9. Defining Decorators As Classes 9. Applying Decorators to Class and Static Methods 9.
Using Decorators to Patch Class Definitions 9. Using a Metaclass to Control Instance Creation 9. Capturing Class Attribute Definition Order 9. Enforcing Coding Conventions in Classes 9.
Defining Classes Programmatically 9. Initializing Class Members at Definition Time 9. Implementing Multiple Dispatch with Function Annotations 9. Avoiding Repetitive Property Methods 9. Defining Context Managers the Easy Way 9. Executing Code with Local Side Effects 9. Parsing and Analyzing Python Source 9. Disassembling Python Byte Code Modules and Packages Making a Hierarchical Package of Modules Controlling the Import of Everything Splitting a Module into Multiple Files Reloading Modules Reading Datafiles Within a Package Adding Directories to sys.
Patching Modules on Import Installing Packages Just for Yourself Creating a New Python Environment Distributing Packages Network and Web Programming Creating a TCP Server Creating a UDP Server Communicating Simply Between Interpreters Implementing Remote Procedure Calls Authenticating Clients Simply Sending and Receiving Large Arrays Concurrency Starting and Stopping Threads Determining If a Thread Has Started Communicating Between Threads Locking Critical Sections Locking with Deadlock Avoidance Storing Thread-Specific State Creating a Thread Pool Performing Simple Parallel Programming Defining an Actor Task
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