languages, combined with high performance and a certain level of universality. Nim can be used to create programs for tiny microcontrollers, large desktop apps, and web applications. Most books about be really interested: Of course, we can create a simple chat application, a simple Twitter clone, and do some basic web scraping using async/await. Or create a basic game or a simple GUI with one of Nim package managers such as Nimble and Nimph, the use of the foreign function interface (FFI) to create bindings to C libraries, and internal compiler details like the various memory management options

languages, combined with high performance and a certain level of universality. Nim can be used to create programs for tiny microcontrollers, large desktop apps, and web applications. Most books about be really interested: Of course, we can create a simple chat application, a simple Twitter clone, and do some basic web scraping using async/await. Or create a basic game or a simple GUI with one of Nim package managers such as Nimble and Nimph, the use of the foreign function interface (FFI) to create bindings to C libraries, and internal compiler details like the various memory management options

different approach, integrating many of the same characteristics as Bitcoin but adding smart contracts to create a platform for distributed applications. Bitcoin and Ethereum fall into a class of blockchain that different MSPs are supported. Hyperledger Fabric also offers the ability to create channels, allowing a group of participants to create a separate ledger of transactions. This is an especially important option to include only a specific set of participants. In the latter scenario, these participants would create a separate channel and thereby isolate/segregate their transactions and ledger. In order to solve

different approach, integrating many of the same characteristics as Bitcoin but adding smart contracts to create a platform for distributed applications. Bitcoin and Ethereum fall into a class of blockchain that different MSPs are supported. Hyperledger Fabric also offers the ability to create channels, allowing a group of participants to create a separate ledger of transactions. This is an especially important option to include only a specific set of participants. In the latter scenario, these participants would create a separate channel and thereby isolate/segregate their transactions and ledger. In order to solve

TweetCount.update(count=F('count') + 1).where(user=charlie) You can use django-style syntax to create select queries: # how many active users are there? User.filter(active=True).count() # get tweets .. class Meta: ... database = custom_db ... >>> custom_db.connect() >>> CustomModel.create_table() Best practice: define a base model class that points at the database object you wish to Reading, Updating and Deleting Creating a new record You can use the Model.create() method on the model: >>> Blog.create(creator='Charlie', name='My Blog') <__main__.Blog object at 0x2529350> This

from typing import Mapping, MutableMapping, Sequence, Iterable # Use Iterable for generic iterables (anything usable in "for"), # and Sequence where a sequence (supporting "len" and "__getitem__") is # reference a class in a type # annotation inside the definition of that class @classmethod def create(cls) -> A: ... See Class name forward references for more details. Decorators Decorator floating point number bool boolean value (subclass of int) str text, sequence of unicode codepoints bytes 8-bit string, sequence of byte values object an arbitrary object (object is the common base

from typing import Mapping, MutableMapping, Sequence, Iterable # Use Iterable for generic iterables (anything usable in "for"), # and Sequence where a sequence (supporting "len" and "__getitem__") is # reference a class in a type # annotation inside the definition of that class @classmethod def create(cls) -> A: ... See Class name forward references for more details. Decorators Decorator floating point number bool boolean value (subclass of int) str text, sequence of unicode codepoints bytes 8-bit string, sequence of byte values object an arbitrary object (object is the common base

different approach, integrating many of the same characteristics as Bitcoin but adding smart contracts to create a platform for distributed applications. Bitcoin and Ethereum fall into a class of blockchain that different MSPs are supported. Hyperledger Fabric also offers the ability to create channels, allowing a group of participants to create a separate ledger of transactions. This is an especially important option to include only a specific set of participants. In the latter scenario, these participants would create a separate channel and thereby isolate/segregate their transactions and ledger. In order to solve

TweetCount.update(count=F('count') + 1).where(user=charlie) You can use django-style syntax to create select queries: # how many active users are there? User.filter(active=True).count() # get tweets Tweet.filter(Q(user__is_staff=True) | Q(user__is_superuser=True)) You can use python operators to create select queries: # how many active users are there? User.select().where(User.active == True).count() .. class Meta: ... database = custom_db ... >>> custom_db.connect() >>> CustomModel.create_table() Best practice: define a base model class that points at the database object you wish to

different approach, integrating many of the same characteristics as Bitcoin but adding smart contracts to create a platform for distributed applications. Bitcoin and Ethereum fall into a class of blockchain that different MSPs are supported. Hyperledger Fabric also offers the ability to create channels, allowing a group of participants to create a separate ledger of transactions. This is an especially important option to include only a specific set of participants. In the latter scenario, these participants would create a separate channel and thereby isolate/segregate their transactions and ledger. In order to solve